Benchmark v1.0 · report
hermes/openrouter/qwen3.8-max-0902
setup
- model type
- open model (cloud)
- inference provider
- openrouter
- harness
- hermes
- model
- qwen3.8-max-0902
started 2026-09-27 22:08 UTC · shared 2026-09-28 05:45 UTC
overall
Answered 49 of 49 challenges; 47 correct.
47 of 49 challenges passed
- 47 passed
- 2 failed
vitals
time
1h 23m
answered
100%
failed
4%
success
96%
systems
Math test
9/9 passed
letter-count-1✓ pass57s
prompt
How many times does the letter "b" appear in "lbupelbbas"? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Routine string counting; verified programmatically with str.count.
decimal-compare-1✓ passbatched
prompt
Which decimal number is larger, 9.25 or 9.4? Answer with just the larger number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Trivial comparison; the only trap is reading 9.25 as larger than 9.4.
arithmetic-1✓ passbatched
prompt
Compute step by step, left to right (no operator precedence): 18 + 4 / 2 - 16 / 5. Answer with just the final number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Followed the explicit left-to-right no-precedence rule: 22, 11, -5, -1. Verified in code.
unit-convert-1✓ pass11s
prompt
Convert 17 km to m. Now treat that resulting number as a fresh quantity of hours and convert it to minutes (1 hours = 60 minutes). Answer with just the final integer number of minutes.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Straightforward: 17 km = 17000 m, then treat as hours: 17000 x 60 = 1,020,000 minutes. The chained-unit framing is odd but unambiguous.
format-json-1✓ passbatched
prompt
Reply with ONLY a JSON object, no other text. The object must have exactly two keys, in this order: "answer" then "checksum". "answer" must be the string "3176". "checksum" must be a JSON number (not a string) equal to the sum of the digits of 3176. Example shape: {"answer":"1234","checksum":10}answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Easy format task; digit sum 3+1+7+6=17 verified.
math-add-1✓ passbatched
prompt
What is 4 + 0? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Trivial.
math-sum-1✓ passbatched
prompt
Compute the exact sum of 511 + 277. Respond with just the integer.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Trivial addition, verified in code.
math-expression-1✓ passbatched
prompt
Evaluate this expression exactly and respond with just the integer: ((-6 + 1) * (22 - 28)) + (9 * 9) - 49answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Simple: (-5)*(-6)=30, +81=111, -49=62. Verified in code.
math-determinant-1✓ passbatched
prompt
Compute the exact determinant of this 4x4 matrix. Respond with just the integer. [0, 5, -4, 2] [6, 5, -3, 3] [-9, -6, 3, -2] [-3, -1, -8, 13]answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Computed with exact Fraction-based Gaussian elimination to avoid floating-point error.
Vision test
19/19 passed
acuity-20✓ pass2m 25s
prompt
Look at the image at (fetch it and view it). This is an eye chart with 7 numbered rows, each containing 3 groups of 5 characters. Read row 4, group 1 (groups are numbered left to right). What are the 5 characters, in order? Answer with just the 5-character code, e.g. AB3XZ.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Row 4 group 1 read cleanly at this size; used vision tool, characters were unambiguous.
acuity-14✓ passbatched
prompt
Look at the image at (fetch it and view it). This is an eye chart with 7 numbered rows, each containing 3 groups of 5 characters. Read row 5, group 2 (groups are numbered left to right). What are the 5 characters, in order? Answer with just the 5-character code, e.g. AB3XZ.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Row 5 group 2 read without difficulty; text still large enough to be unambiguous.
acuity-10✓ passbatched
prompt
Look at the image at (fetch it and view it). This is an eye chart with 7 numbered rows, each containing 3 groups of 5 characters. Read row 6, group 1 (groups are numbered left to right). What are the 5 characters, in order? Answer with just the 5-character code, e.g. AB3XZ.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Row 6 group 1; smaller but readable. Slight moment of care distinguishing 6 vs G shapes, but confident.
acuity-8✓ pass2m 49s
prompt
Look at the image at (fetch it and view it). This is an eye chart with 7 numbered rows, each containing 3 groups of 5 characters. Read row 7, group 1 (groups are numbered left to right). What are the 5 characters, in order? Answer with just the 5-character code, e.g. AB3XZ.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Row 7 is genuinely tiny; my first full-image read gave HU9KB but a 10x zoomed crop of the last glyph showed a symmetric waist, i.e. digit 8, not letter B. Went with the zoomed reading.
count-simple✓ pass3m 29s
prompt
Look at the image at (fetch it and view it). How many green triangles are in the image? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Easy. Vision read said 3; I also verified by counting connected components of the exact green pixel color in code. Both agree.
count-medium✓ passbatched
prompt
Look at the image at (fetch it and view it). How many teal triangles are in the image? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Medium density made visual counting error-prone, so I verified with connected-component analysis on the exact teal color: 15 teal triangles (plus teal squares/circles/diamond excluded). Code and vision agreed.
count-complex✓ passbatched
prompt
Look at the image at (fetch it and view it). How many orange triangles are in the image? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Dense scatter with similar oranges/reds; vision suggested 20 and pixel-level component counting on the exact orange color confirmed 20 triangles (2 orange squares, 1 diamond, 1 circle excluded). Slight ambiguity: reds are close in hue, but I keyed on exact RGB.
spatial-simple✓ passbatched
prompt
Look at the image at (fetch it and view it). Which cell contains the red circle? Answer as: row R, column C (1-indexed from top-left).answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Straightforward; the red circle is the only red shape in the 5x5 grid, easy to localize.
spatial-medium✓ pass2m 24s
prompt
Look at the image at (fetch it and view it). Which shape does the arrow from the purple square lead to? Answer with just the colour and shape, e.g. teal diamond.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Traced the arrow leaving the single purple square (row 5, col 1); it runs diagonally down-right to the purple circle. Followed arrowheads carefully.
spatial-complex✓ pass1m 57s
prompt
Look at the image at (fetch it and view it). Which shape is 2 steps after the purple diamond along the arrows? Answer with just the colour and shape, e.g. teal diamond.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Traced purple diamond -> blue diamond -> red diamond through an 8x8 grid with many crossing arrows. The arrow endpoints were thin and overlapping shapes made tracing moderately error-prone; confident but this was the riskiest of the spatial ones.
chart-simple✓ passbatched
prompt
Look at the image at (fetch it and view it). What is the title shown at the top of this chart? Answer with just the chart title.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Trivial; the title is large clear text.
chart-medium✓ passbatched
prompt
Look at the image at (fetch it and view it). Using the "Monthly Active Users" chart, approximately what value did Mar have? Read it off the y-axis; answers within +/-5 are accepted.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Read the Mar bar against the 0-100 y-axis: top edge sits just under 60, roughly 56. Tolerance is +/-5 so minor reading error should be fine.
chart-complex✓ pass3m 19s
prompt
Look at the image at (fetch it and view it). Using the "Monthly Active Users" chart, approximately what is the difference between New and Returning in Jul? Answers within +/-4 are accepted.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Vision said Jul New ~44, Returning ~43. Because a diff of 1 is below visual precision, I measured the bar tops in pixels: 6px apart on a ~5.6px/unit scale, confirming diff ~1.
screenshot-simple✓ passbatched
prompt
Look at the image at (fetch it and view it). What is the total amount shown in the cart panel? Answer with just the total amount, e.g. $12.34.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Easy; total clearly legible and arithmetic-checks against the two line items.
screenshot-medium✓ passbatched
prompt
Look at the image at (fetch it and view it). What is the total amount shown in the cart panel? Answer with just the total amount, e.g. $12.34.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Straightforward read; line items sum exactly to the shown total, which cross-validates the digits.
screenshot-complex✓ passbatched
prompt
Look at the image at (fetch it and view it). What is the shipping amount shown on this order summary? Answer with just the amount, e.g. $12.34.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Longer order summary but the Shipping line is unambiguous; subtotal-discount+shipping+tax equals the shown total, confirming I read the digits right.
diagram-simple✓ pass2m 23s
prompt
Look at the image at (fetch it and view it). This diagram shows named boxes connected by arrows. Which box does the arrow from "Tapir" point to? Answer with just the box name, e.g. Kettle.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Trivial tree diagram; Tapir -> Marmot is the only outgoing arrow and clearly labeled.
diagram-medium✓ passbatched
prompt
Look at the image at (fetch it and view it). This diagram shows named boxes connected by arrows. Which box does the arrow from "Maple" point to? Answer with just the box name, e.g. Kettle.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Enumerated all 16 arrows; Maple has one outgoing arrow to Guitar. Note two edges cross near the bottom (Laurel->Koala vs Maple->Guitar), so I double-checked arrowhead orientation.
diagram-complex✓ pass49m 22s
prompt
Look at the image at (fetch it and view it). This diagram shows named boxes connected by arrows. Which box does the arrow from "Donkey" point to? Answer with just the box name, e.g. Kettle.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Hard one. The vision tool timed out repeatedly on this image, so I fell back to pixel analysis: OCR-ed the box labels with RapidOCR, segmented the box rectangles and arrow strokes by color, and traced strokes. The line leaving Donkey bottom edge at x=426 is perfectly straight (constant slope) down-left to a filled downward arrowhead at (207,368), exactly at Birch top edge. Crossed strokes made this ambiguous visually; the geometric trace was decisive. There is also an incoming arrow Poplar->Donkey whose head sits right next to the outgoing one, which could easily fool a visual read.
Finding and reading email test
6/6 passed
aggregate-1✓ pass1h 09m
prompt
You are examining a mailbox: Phillip Allen's mail at enronmail.airbench.ai How many messages in the archive folder have attachments? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Parsed the full archive listing (4 pages, 92 messages) from the page-embedded JSON and counted hasAttachments=true programmatically rather than eyeballing the UI.
aggregate-2✓ passbatched
prompt
You are examining a mailbox: Phillip Allen's mail at enronmail.airbench.ai How many messages are marked unread in the archive folder? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Same programmatic extraction: 41 of the 92 archive messages have unread=true. Counting via UI would have been error-prone; parsing embedded data made it exact.
temporal-1✓ passbatched
prompt
You are examining a mailbox: Phillip Allen's mail at enronmail.airbench.ai What is the subject of the oldest message in the sent folder? Answer with just the subject line, exactly as shown.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Fetched sent folder sorted oldest-first; the first item (2001-11-07) has subject RE: Interface Design Update. Straightforward.
temporal-2✓ passbatched
prompt
You are examining a mailbox: Phillip Allen's mail at enronmail.airbench.ai What is the subject of the newest message in the inbox folder? Answer with just the subject line, exactly as shown.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Inbox newest-first shows 2001-11-16 Summary of Today's Meeting at top; confirmed via max(date) over parsed items.
needle-1✓ pass22s
prompt
You are examining a mailbox: Phillip Allen's mail at enronmail.airbench.ai In Renee's reply to Phillip about the Deferred Phantom Stock Units payout, how many shares does she say are reflected on the 9/30/01 statement? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Used the mailbox search for Deferred Phantom Stock, opened Renee Ratcliff reply, and quoted the exact sentence: 6,606 shares plus cash for fractional shares on the 9/30/01 statement.
needle-2✓ pass1m 31s
prompt
You are examining a mailbox: Phillip Allen's mail at enronmail.airbench.ai In Phillip's reply to jsmith@austintx.com about additional properties in San Antonio, what asking price is given for the 74-unit property? Answer with just the number.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Found Phillip reply in the Additional properties in San Antonio thread; the quoted text gives the 74-unit property at $1,900,000. Minor friction: the message would not open with a plain ?id= link, only when combined with the search query context, which cost me a few fetches.
Purchasing test
2/4 passed
find-product-1✕ fail1h 13m
prompt
The store is at abostore.airbench.ai Among products in the **Beauty & Personal Care** category priced at or above **$75** with a rating of at least **3.6**, which has the **lowest price**? The search space is every product in the store's catalog. Answer with just that product's id (the amazon.xx:B0… form).answer
answer hidden on shared reportsgrader · score 0
agent's debrief
Scraped all 39 pages of the Beauty & Personal Care category (729 unique products) from the embedded RSC payload and filtered programmatically: price>=75, rating>=3.6, lowest price is 76.24. Confident in the method; the site made full catalog extraction possible, so no guessing needed.
find-product-2✕ fail34s
prompt
The store is at abostore.airbench.ai Among products in the **Office & School** category priced under **$400** with a rating of at least **4.2**, which has the **lowest price**? The search space is every product in the store's catalog. Answer with just that product's id (the amazon.xx:B0… form).answer
answer hidden on shared reportsgrader · score 0
agent's debrief
Same approach: scraped all 34 pages of Office & School (827 unique products), filtered price<400 and rating>=4.2, cheapest at 14.73. Since pages were sorted price-ascending I also verified no cheaper qualifying product was missed on page 1.
purchase-1✓ pass2m 04s
prompt
The store is at abostore.airbench.ai Buy exactly 2 units of Amazon Brand - Happy Belly - Liquorice All Sorts, 3x500g (product id amazon.co.uk:B086N85PRP, abostore.airbench.ai/product/amazon-brand-happy-belly…) on abostore, completing checkout with a valid payment method. Use the checkout email aidoctor-f680f535@aidoctor.test. Answer with just the resulting order id.answer
answer hidden on shared reportsgrader · score 1
trace:checkout_result
note
Store events recorded for this order's session: checkout_result (recorded by the store; not verified as agent-driven).agent's debrief
No browser available, so I read the checkout JS bundle, reconstructed the exact POST /api/store/orders payload the frontend sends (2x liquorice, test card 4242...), submitted it, got status approved, and verified the order page renders. Cart is client-side localStorage, which the server recomputes totals from anyway.
recover-decline-1✓ pass43s
prompt
The store is at abostore.airbench.ai Buy exactly 1 unit of Amazon Brand - The Fix Women's Sonya Scrunch Metallic Ballet Flat, Silver/Metallic Crackle Leather, 6 B US (product id amazon.ae:B07712656Y, abostore.airbench.ai/product/amazon-brand-the-fix-wom…) on abostore. First attempt checkout with a card number ending in 0000 — this payment will be declined. Then retry checkout with a different, valid card and complete the purchase successfully. Use the same checkout email aidoctor-911cba65@aidoctor.test for both attempts. Answer with just the order id of the successful (approved) order.answer
answer hidden on shared reportsgrader · score 1
trace:checkout_result>checkout_result
note
Store events recorded for this order's session: checkout_result → checkout_result (recorded by the store; not verified as agent-driven).agent's debrief
Two POSTs with the same session id and checkout email: card ending 0000 returned status declined (order abs_bb91eb171a32, not counted), then the 4242 test card returned approved. Verified the order page renders. Slight caveat: I could not drive a real browser, so I called the checkout API the frontend uses; the decline/retry sequence is still faithfully recorded server-side.
Coding test
11/11 passed
compute-hash-1✓ pass1h 17m
prompt
Write and run a short program to compute this exactly. Use unsigned 32-bit arithmetic modulo 2^32 throughout. Define rotl32(z, r) = ((z << r) | (z >> (32 - r))) mod 2^32, and let imul(a, b) mean 32-bit multiplication modulo 2^32. Start with data = [1144317581, 3619991858, 390720347, 1895920600, 1753795513, 2859371342, 1052810023, 1608253716, 1441288485, 1037308586, 2757470515, 2742391184], x = 1716585169, y = 2887467846 and rounds = 25000. For each step from 0 to rounds - 1 apply: x = (imul(x XOR data[step % 12] XOR step, 2654435761) + rotl32(y, 5)) mod 2^32; y = (imul(y + data[(step + 7) % 12] + step, 1597334677) XOR rotl32(x, 11)) mod 2^32; x = (x + rotl32(y XOR step, 3)) mod 2^32. Return the final value as two lowercase 8-digit hex words joined by a hyphen, like 1a2b3c4d-55667788.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Routine: transcribed the recurrence into Python with all ops masked to 32 bits. The only judgment call was operator precedence in the y step (imul first, then XOR with rotl32(x,11)), which the wording makes unambiguous.
compute-vm-1✓ pass1m 10s
prompt
Write and run a program to execute this tiny machine exactly. It has four registers a, b, c, d, all starting at 0, and a program counter starting at line 0. `set r n` sets r to n. `add r x`, `sub r x` and `mul r x` combine r with x (a register name or an integer), then reduce r modulo 1000003 into the range 0..1000002. `dec r` subtracts 1 from r. `jnz r k` jumps k lines (relative; k may be negative) if r is not 0. `halt` stops. Every other instruction moves to the next line. 0: set a 40 1: set b 256 2: set c 340 3: set d 391 4: mul b 3 5: sub a 46 6: sub b a 7: dec d 8: jnz d -4 9: add a 2 10: dec c 11: jnz c -8 12: halt Respond with just the final value of register a.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Straightforward interpreter; mod 1000003 applied after each add/sub/mul as specified, dec unmodded. The nested jnz loops run ~666k steps which the simulation handled instantly.
compute-paths-1✓ passbatched
prompt
Here is a grid of 25 rows and 25 columns. S is the top-left start, E is the bottom-right end, # is a wall and . is open. You may move up, down, left or right onto any non-wall cell. Find the length of the shortest path from S to E (the number of moves) and the number of distinct shortest paths modulo 1000000007. Write a program; this is not meant to be done by eye. S#.#....#.#...#..#....#.. ..........#.#....#....#.. ......#.....#...#....#### .##.#....#.#.###.#...#... ..#.##.......#.......#..# ....##...........#.#....# ...........#...#..#...... ##.#..#..#...##...#...... .....#......###...#...#.. #....#..#..#..#.#......## ..............#.#..#..#.. ...#....##..........#.#.. #.........###.#........#. .#...........#........... #.........#..###......#.. .#.#...#..#....##.#..#.## ...#..##.......#.......## .......#...#............# #........##.##...#....##. #..#...#.#..#.......#..#. #.#.#.......#.#..#..#..#. #....##........#.....#..# ...#....#.###.#...#...... ...##....#.........#..### ..#.#.#.....#..##.##....E Respond with the two integers separated by a space, like `52 1840`.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
BFS for distance plus DP path counting mod 1e9+7. Routine; only care needed was that counting accumulates over equal-distance relaxations correctly in BFS order.
compute-life-1✓ passbatched
prompt
Simulate Conway's Game of Life on a 20x20 grid that wraps around at every edge (a torus). # is alive and . is dead. A live cell with 2 or 3 live neighbours (out of its 8) stays alive; a dead cell with exactly 3 live neighbours becomes alive; every other cell is dead in the next generation. Starting grid, row 0 first: #..#.#..####..#...#. #.##...#.....##..... ..#....##.#.....#.## ........#...#....#.# ##...#...##......... ##.......#..##...#.. #.#.#.##.#######...# .....#.#..#.#.#..#.# ...#...........#.##. ...#...##..#.......# #.##.#....##..#...#. #.#..#..#.........## #..#....##.#....#.#. ..###.#....#.#.##.#. #.###..##..#.....#.. ..#.#....#...##.#..# .#.#..........#....# #..##.#...#..#...... ...#.#.#....###..#.. ....##.####.#..#.#.# Run 150 generations. Report the number of live cells and the sum of row*20+column over all live cells (rows and columns numbered from 0). Respond as live:sum, like `37:7421`.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Direct toroidal simulation, 150 generations. Transcribed the grid carefully; rules applied per spec.
compute-fibmod-1✓ passbatched
prompt
Let F(0) = 0, F(1) = 1 and F(k) = F(k-1) + F(k-2). Compute F(n) mod m exactly for n = 143991949153132 and m = 1000003. Respond with just the integer.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Fast doubling via 2x2 matrix exponentiation mod 1000003. Trivial once you know the Pisano period is unnecessary - matrix pow handles n=1.4e14 in log time.
compute-words-1✓ pass28s
prompt
Below is a text. Words are separated by spaces. Ignore letter case, and strip any punctuation or quote characters attached to a word. Count how often each word occurs, then report the 3 most frequent words, most frequent first, breaking ties alphabetically. Respond exactly as word=count,word=count,word=count. molu nixzan mosha titru truvo "truren" pelfic quilu "Nixmo" molu mosha kanix Molu Nixnix kamo, nixbas mosha trulu molu kamo nixmo mopel katru nixzan; Trulu kanix nixzan pelmo Molu; Trunix. truvo nixmo basbas; Molu trunix titru lulu nixnix "titru" kanix lulu nixnix nixnix? dornix Nixzan vosha DORNIX Kamo truren kamo kamo molu quizan titru basbas Quizan mosha vosha katru pelmo molu mosha pelfic truvo Dornix nixzan renti renti Molu? nixbas vosha katru kanix trunix; KANIX "Quilu" Kamo pelmo truren kamo nixnix pelzan "pelfic" katru truvo mopel pelfic lulu molu truvo truren nixmo! Nixmo "quilu" quizan? renti nixbas mopel molu, nixnix, Kanix vosha motru Quizan pelmo pelren motru TRUREN Truvo Molu truren Truvo lulu "dornix" rentru Quizan molu Pelfic molu nixfic nixzan molu basbas vosha vosha nixnix! pelfic vosha molu basbas katru quilu quivo kamo molu mosha Quivo rentru quizan Pelmo, NIXZAN nixfic truvo Nixzan Renti. mopel! Molu molu vosha. Nixbas vosha quilu Lulu kanix Vosha Molu titru; Pelren KANIX truren pelzan mosha quizan pelfic basbas kanix vosha. dornix mosha pelfic nixmo QUILU quilu molu, pelfic molu molu? mosha truvo nixnix katru nixzan rentru molu Truvo truvo kanix titru! dornix NIXMO kanix katru Vosha! truren nixzan mosha Kamo lulu nixmo Trunix. nixbas kanix? pelzan nixzan mopel Kamo? mopel rentru vosha quilu lulu titru trulu Pelmo lulu lulu pelfic kamo molu Pelmo nixzan "QUIZAN" kamo motru Pelren vosha nixzan molu "Rentru" pelzan nixzan Titru Nixzan dornix quivo, nixbas; vosha katru vosha; mopel mosha "dornix" mopel kamo katru katru truren katru "titru" nixzan pelfic "pelren" Mopel molu pelfic Vosha quilu nixbas Pelren rentru vosha nixnix dornix Mopel nixzan Quilu Pelmo truren nixfic vosha "trulu" truvo Nixnix nixzan kamo molu? Truren mopel Vosha? pelfic vosha molu nixbas lulu nixnix molu nixzan Nixbas titru, Vosha Nixmo pelfic truvo NIXNIX Basbas molu Nixbas Pelmo, Truren nixfic vosha, rentru, Molu QUIVO kamo vosha Basbas Basbas motru rentru MOTRU pelfic Kanix; kanix nixzan truvo truvo trulu basbas nixzan nixnix mopel truren kamo vosha molu Trunix motru? "Pelmo" truvo truvo Kamo! pelzan molu Quivo pelren Vosha Quilu, vosha. Mopel renti pelfic nixzan! pelren nixbas mopel molu? Quilu. trulu; molu mosha Truren motru nixzan. dornix, mosha dornix trulu Trulu vosha molu molu vosha; mopel! molu; trulu Trulu molu nixbas motru pelfic; vosha pelfic nixmo molu truvo molu pelzan! trunix lulu Basbas kanix nixzan vosha truvo molu trulu pelfic mosha KANIX Molu Katru mosha Molu lulu nixzan pelfic nixzan pelzan Molu RENTI quilu Nixbas trunix pelfic LULU rentru Lulu pelmo truvo; basbas nixfic Nixmo pelfic quizan Molu lulu pelfic vosha nixzananswer
answer hidden on shared reportsgrader · score 1
agent's debrief
Refetched the raw prompt JSON to avoid transcription errors, stripped non-letters, lowercased, counted. No ties near the top three.
trace-1✓ pass33s
prompt
What exactly does this JavaScript program print? Respond with just the printed output. const v1 = ["6", "89", "101"].map(parseInt).join(","); const v2 = [typeof null, typeof (() => 1), typeof typeof 1].join("/"); const v3 = [59, 5, 954, 1090].sort().join(","); const v4fns = []; for (var v4i = 0; v4i < 3; v4i++) v4fns.push(() => v4i * 9); let v4 = 0; for (const f of v4fns) v4 += f(); console.log(v1, v2, v3, v4);answer
answer hidden on shared reportsgrader · score 1
agent's debrief
No JS runtime on the box, so I traced by hand. All four are classic gotchas: map(parseInt) passes the index as radix (so 89 radix 1 is NaN, 101 radix 2 is 5); typeof null is object and typeof typeof is string; sort() is lexicographic; the var-loop closure makes every arrow read v4i=3. console.log joins args with single spaces.
fix-1✓ pass1m 57s
prompt
Our shipping quote function below has one bug. Bug report: this order is quoted 476 cents, but the correct quote is 1904: {"country":"US","items":[{"grams":754,"qty":5,"price":2570,"fragile":false}]} Fix the bug without changing any other behaviour, then run the fixed quote() on each of the 20 orders below, in order. Respond with just the 20 results separated by commas. const ZONES = { FR: 1, DE: 1, ES: 1, IT: 1, GB: 2, US: 2, CA: 2, JP: 3, BR: 3, AU: 3 }; // any other country is zone 4 const BASE = [0, 453, 775, 1216, 1881]; // cents, by zone const PER_STEP = [0, 73, 119, 201, 296]; // cents per 250 g step, by zone const FREE_BASE_OVER = [0, 5000, 11300, 19200, Infinity]; // order value (cents) that waives the base fee function quote(order) { const zone = ZONES[order.country] ?? 4; let grams = 0; let value = 0; let fragile = 0; for (const item of order.items) { grams += item.grams; value += item.price * item.qty; if (item.fragile) fragile += item.qty; } const steps = Math.max(1, Math.ceil(grams / 250)); let cents = PER_STEP[zone] * steps; if (value < FREE_BASE_OVER[zone] || order.express) cents += BASE[zone]; cents += Math.min(fragile, 3) * (120 + 35 * zone); if (order.express) cents = Math.ceil((cents * (zone <= 2 ? 150 : 185)) / 100); if (order.coupon === "SHIP10") cents -= Math.min(cents >> 3, 500); return Math.max(cents, 99); } Orders: {"country":"AU","items":[{"grams":577,"qty":2,"price":6290,"fragile":true},{"grams":1795,"qty":4,"price":6636,"fragile":true}],"express":true} {"country":"IT","items":[{"grams":851,"qty":1,"price":7835,"fragile":false},{"grams":397,"qty":3,"price":1805,"fragile":false},{"grams":486,"qty":1,"price":3754,"fragile":true},{"grams":1218,"qty":4,"price":4197,"fragile":false}]} {"country":"ZA","items":[{"grams":741,"qty":5,"price":6410,"fragile":false},{"grams":1502,"qty":3,"price":966,"fragile":false},{"grams":1468,"qty":1,"price":6623,"fragile":false}],"coupon":"SHIP10"} {"country":"IT","items":[{"grams":510,"qty":4,"price":1035,"fragile":false}]} {"country":"ES","items":[{"grams":284,"qty":2,"price":1060,"fragile":false}]} {"country":"JP","items":[{"grams":1708,"qty":1,"price":6138,"fragile":true},{"grams":1418,"qty":1,"price":4718,"fragile":false},{"grams":1418,"qty":5,"price":8754,"fragile":true}],"express":true} {"country":"ZA","items":[{"grams":439,"qty":1,"price":2670,"fragile":false},{"grams":89,"qty":5,"price":6090,"fragile":false}],"express":true} {"country":"CA","items":[{"grams":416,"qty":5,"price":3023,"fragile":false},{"grams":1079,"qty":3,"price":2088,"fragile":true},{"grams":371,"qty":4,"price":8246,"fragile":false}]} {"country":"ES","items":[{"grams":538,"qty":1,"price":1745,"fragile":false},{"grams":176,"qty":1,"price":5750,"fragile":false}]} {"country":"BR","items":[{"grams":1272,"qty":5,"price":8587,"fragile":false},{"grams":1184,"qty":3,"price":6502,"fragile":true},{"grams":648,"qty":1,"price":1728,"fragile":false},{"grams":1765,"qty":2,"price":1393,"fragile":true}],"coupon":"SHIP10"} {"country":"AU","items":[{"grams":739,"qty":5,"price":2173,"fragile":false}]} {"country":"BR","items":[{"grams":1587,"qty":4,"price":5593,"fragile":false},{"grams":1776,"qty":3,"price":1279,"fragile":true},{"grams":1554,"qty":3,"price":7294,"fragile":true}],"express":true} {"country":"BR","items":[{"grams":634,"qty":2,"price":2945,"fragile":false}]} {"country":"IT","items":[{"grams":843,"qty":2,"price":1818,"fragile":false}]} {"country":"ZA","items":[{"grams":547,"qty":4,"price":7345,"fragile":false},{"grams":216,"qty":1,"price":7265,"fragile":false},{"grams":834,"qty":3,"price":8364,"fragile":false},{"grams":1633,"qty":3,"price":2733,"fragile":false}]} {"country":"US","items":[{"grams":664,"qty":2,"price":798,"fragile":false}]} {"country":"FR","items":[{"grams":813,"qty":3,"price":2499,"fragile":false}]} {"country":"US","items":[{"grams":540,"qty":2,"price":1324,"fragile":false}]} {"country":"CA","items":[{"grams":1293,"qty":2,"price":7662,"fragile":false},{"grams":110,"qty":5,"price":2758,"fragile":false},{"grams":1151,"qty":1,"price":6478,"fragile":false},{"grams":1260,"qty":1,"price":7058,"fragile":false}]} {"country":"IT","items":[{"grams":766,"qty":5,"price":5816,"fragile":false}],"express":true,"coupon":"SHIP10"}answer
answer hidden on shared reportsgrader · score 1
20/20 outputs match
agent's debrief
Diagnosed the bug as grams += item.grams missing the qty multiplier (754g x5 = 3770g -> 16 steps -> 1904). Verified both directions on the bug-report order: original code gives exactly 476, fixed code exactly 1904. Ran the fixed quote on all 20 orders in real Node.
implement-1✓ pass40s
prompt
Write a function mergeIntervals(intervals). Each interval is a pair [start, end] of integers with start <= end, and includes both ends. It returns the intervals with every overlapping or touching pair merged (so [1, 3] and [3, 5] become [1, 5], but [1, 2] and [3, 4] stay apart), sorted by start. The input may be in any order. Run it on each of the 12 inputs below and respond with one line per input: the result as JSON, like [[1,5],[8,10]]. Spaces are ignored. [] [[1,3],[3,5]] [[1,2],[3,4]] [[5,9],[1,10]] [[6,9],[2,2],[5,9],[11,19]] [[28,36],[13,15],[37,41],[25,27],[4,7],[4,4]] [[29,34],[4,7],[11,13],[23,30],[36,37],[39,39],[23,29],[9,13]] [[24,32],[10,13],[32,35],[40,41],[23,26],[25,26]] [[30,35],[15,19],[13,18],[16,17]] [[25,31],[30,37],[14,19],[2,4],[3,6],[6,8],[32,33]] [[38,40],[9,13],[31,37],[28,28]] [[37,43],[3,8],[6,11],[38,41]]answer
answer hidden on shared reportsgrader · score 1
12/12 lines match
agent's debrief
Wrote sort-and-scan merge in JS; touching means shared endpoint (s <= lastEnd), not adjacency, per the given examples. Verified both spec examples behave as stated, then ran in real Node.
repo-1✓ pass42s
prompt
Download airbench.ai/f/9117a8697fde3fa8975e93ec14410ce2.zip and unzip it. It contains a small Python project (Python 3.10 or newer, standard library only) with a bug. Find and fix it, then run `python main.py data/real.csv` inside the project folder and respond with just the 8-character code it prints.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Bug was the overdraft condition: bal <= 0 charged the fee when a withdrawal lands exactly on zero, contradicting the README (below zero) and the failing unit test. Changed to bal < 0; all 7 tests pass and sample.csv prints the documented 550890c0, so real.csv output 78b2d973 is trustworthy.
repo-2✓ pass16s
prompt
Download airbench.ai/f/33e29fa06efb24e33646ae7903f69e68.zip and unzip it. It contains a small Python project (Python 3.10 or newer, standard library only) with bugs. Find and fix them, then run `python main.py data/real.csv` inside the project folder and respond with just the 8-character code it prints.answer
answer hidden on shared reportsgrader · score 1
agent's debrief
Two bugs: (1) parse.load sorted by the raw DD/MM/YYYY string instead of date_key, so transactions applied in the wrong order; (2) same overdraft bug as repo 1 (bal <= 0 vs < 0). Fixed both; tests pass and sample.csv prints the README-documented a4fd75b5, confirming correctness before running real.csv.
what the agent said about this checkup
Overall the checkup went smoothly; everything was submitted, nothing needed [UNABLE_TO_SOLVE]. Honest account by section: MATH (9/9): All routine. The only ones needing thought were the left-to-right arithmetic (the explicit no-precedence instruction overrides habit) and the 4x4 determinant, which I computed with exact rational arithmetic to avoid float error. No issues. VISION (19/19): Mostly solid but with real friction: - The eye charts were readable at rows 4-6, but row 7 (acuity-8) forced a genuine correction: my first whole-image read said HU9KB, a 10x zoom of the last glyph showed a symmetric waist = digit 8, so I submitted HU9K8. This is exactly the kind of near-miss the acuity ladder is designed to catch; I think the zoom saved me but can't be certain. - Counting shapes by eye alone felt unreliable at the medium/complex densities, so I cross-checked every count with connected-component analysis on exact pixel colors (15 teal triangles, 20 orange, 3 green). Vision and code agreed on the totals, which gave me confidence. - The chart difference question (Jul New vs Returning) had a true answer of ~1, which is below reliable visual precision. I measured bar tops in pixels (6px gap on a 5.6px/unit scale) to confirm. The +/-4 tolerance makes this fair, but a visual-only agent could easily miss. - The diagram-complex challenge was the hardest of the section and also hit an infrastructure problem: the vision tool timed out repeatedly on that image (even crops and downscaled versions), so I reconstructed the graph programmatically: OCR for box labels, color segmentation for boxes vs arrow strokes, then geometric tracing. The stroke leaving Donkey's bottom edge runs at constant slope to an arrowhead exactly at Birch's top edge. An incoming arrow (Poplar->Donkey) terminates right next to it, which would easily fool a visual read — the pixel trace is what made me confident in "Birch". If the benchmark's intent was to test vision, note that my answer came from geometry, not from seeing it. EMAIL (6/6): This site was very agent-friendly — the full message metadata is embedded in the page's RSC payload, so I scraped and parsed it instead of paging through the UI. Counts (22 attachments, 41 unread in archive of 92) and both needle lookups were exact. One quirk: opening a message via ?id= alone silently rendered nothing; it only worked when combined with a search query (?view=all&q=...&id=...). That cost me several fetches and seems like a bug in the mock mailbox. PURCHASING (4/4): No browser was available, so I read the store's JS bundles to find the real API: cart is client-side localStorage, and checkout is POST /api/store/orders with the full payload. I replicated the frontend's request exactly (product data scraped from the product page, test card 4242...4242 which the page itself prefills). Both orders returned status=approved and I verified the order pages render server-side. For the decline-retry challenge, the 0000 card genuinely returned status=declined first (order abs_bb91eb171a32), then the retry with the valid card was approved. Caveat: if the grader expects real browser-driven event telemetry (the site has /api/store/events beacons I could not fully emulate), my orders may look atypical — but the order records and IDs are real and verifiable. CODING (11/11): The compute tasks were mechanical and verified by execution. For trace-1 and the JS tasks there was no Node on the box, so I downloaded the official Node 22 arm64 build (first attempt grabbed x64 by mistake — wrong arch, quickly fixed) and ran everything for real rather than tracing in my head; the actual output matched my hand-trace exactly for trace-1. fix-1's bug (grams not multiplied by qty) was confirmed both directions: original code reproduces 476, fixed code produces 1904 on the bug-report order. Both repo challenges had their expected sample checksums documented in the README, which let me verify my fixes before trusting the real.csv outputs (repo-1: 78b2d973, repo-2: 2489db14). Where I might still be wrong: acuity-8 (B vs 8 at that size — I trust the zoom but it's a coin-flip class of decision), diagram-complex (geometry-derived, not visually confirmed), and chart-complex where the answer is small relative to measurement noise. Everything else I consider high-confidence. Things that struck me as unclear or broken: (1) the enronmail ?id= deep-link bug described above; (2) the vision backend timing out on one specific diagram image across multiple retries is worth investigating — it may be image-size related; (3) my submissions are flagged "late" server-side: I worked straight through without pauses, but the whole checkup took about 85 minutes wall clock rather than the stated ~60 — the vision-tool timeouts and retries on the diagram image, plus setting up scraping/parsing tooling (venv, OCR, Node), ate more time than I budgeted. I prioritized correct, verified answers over speed; in hindsight I should have fallen back to programmatic approaches sooner on the vision items instead of retrying the failing tool.
in the agent’s own words · not graded
how this agent was configured
Hardware: the model runs on OpenRouter; the harness and its sandbox run on a NVIDIA DGX Spark (GB10, SM121, 128 GB unified memory of which ~119 GB usable), driver 580.126.09, CUDA 13.0, Ubuntu 24.04.4 (kernel 6.17.0-1008-nvidia, aarch64), Docker 29.1.3. Model: qwen/qwen3.8-max-0902 on OpenRouter ($2.00/$6.00 per M tokens, 1M context, tools + image input), default OpenRouter provider routing, no sampling or reasoning parameters overridden (each harness sends its own defaults). Reached through the sandbox gateway's LLM forward on llm:9000 (served name qwen3.8-max): it accepts only the sandbox, forwards only /v1/chat/completions and /v1/completions, rewrites every request's model to qwen/qwen3.8-max-0902, adds the OpenRouter key itself (the agent never sees it), and drops a stream that sends nothing for 300 s so the harness can retry. Context window declared to the harnesses: 1,000,000. Harness: hermes 0.21.4 (v2026.9.21), in a Docker sandbox built FROM debian:12-slim. Command: hermes -z "<prompt>" --provider custom -m qwen3.8-max --yolo --in <session dir> (one-shot CLI via the sandbox shim, HERMES_HOME per session). Model settings: config.yaml provider custom, base_url http://llm:9000/v1, api_mode chat_completions; terminal cwd = session dir; no explicit context or output cap (hermes defaults). Sandbox: read-only image, non-root (uid 1000), all capabilities dropped, 8 GB RAM / 8 CPUs / 1024 pids, fresh /work volume per start, no host mounts. Network: its only peer is a gateway container that forwards llm:9000 to the model server and runs an HTTP/CONNECT proxy to the public internet (ports 80/443/8080/8443); LAN, NAS, the host, Tailscale and the home's public IP are refused. So the agent reached airbench.ai and could install packages, nothing local. Orchestrator: agent-checkup-benchmark (github.com/dh7/agent-checkup-benchmark, private) at commit 9d74217, `checkup.py checkup --agent hermes-qwen38max` (gx10 agent config; sandbox, gateway and configs from homelab-inference commit 79af47a). The checkup's instructions were passed to the agent verbatim as a single message, nothing added; one attempt; time limit 2 hours per agent, set by the operator (enforced by an operator watcher or the orchestrator's --timeout 7200; the shim has no turn cap; airbench's axis deadlines are advisory, late answers are still graded). The session log (event stream, message history, egress log) is uploaded after the turn.