The published record

Leaderboard

How to read this Rankings are within each report: every report holds one suite fixed and runs each model against the identical tasks. Suites differ between reports in size and difficulty, so scores across reports are not comparable: a higher percentage on an easier suite does not beat a lower one on a harder suite. When binary pass rates tie, the tie is broken by whatever still separates the models, a harder partial-credit tier, or economics: cost and cost per solved task.
Claude Fable 5Anthropic
Claude Sonnet 5Anthropic
Claude Opus 4.8Anthropic
GPT-5.5OpenAI
GLM-5.2Z.ai
Report 05 · Effort matrix · 15 evals · 60 runs
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Binary pass@1 is a four-way tie at 7/13, so the signal moves to the frontier-hard tier: reasoning effort compounds for Opus and collapses for Fable. Ranked by hard-tier progress (mean fraction of hidden tests passed on the five hardest tasks).

#Modelpass@1Hard tierCostRefusals
1Claude Opus 4.8 highHard-tier leader7/130.42$12.770
2Claude Opus 4.8 low7/130.26$6.950
3Claude Fable 5 low7/130.17$22.352
4Claude Fable 5 high7/130.00$26.271
Report 04 · Evals 6.2.26 · 15 tasks · 60 runs
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All four configurations score 14/15 but each misses a different task; at equal accuracy, cost spans 4×. Ranked by cost.

#ModelScoreCostTimeTokens$/solved
1Claude Opus 4.8 highValue leader14/15$5.0027 min0.71 M$0.36
2Claude Fable 5 low14/15$5.9927 min0.40 M$0.43
3Claude Fable 5 medium14/15$11.1044 min0.64 M$0.79
4GPT-5.5 high14/15$20.4371 min2.97 M$1.46
Report 03 · v2 Suite · 10 tasks · 30 runs
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Three models, three vendors, all score 8/10 and fail the same two tasks; resource use spans an order of magnitude. Ranked by cost per solved task.

#ModelScoreCostTimeTokens$/solved
1Claude Fable 5 lowValue leader8/10$2.2714 min0.14 M$0.28
2Claude Sonnet 5 high8/10$8.4159 min1.75 M$1.05
3GLM-5.2 high8/10$15.81124 min10.82 M$1.98
Report 02 · v1 Suite · 52 tasks · 936 runs
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A reasoning-effort sweep: Sonnet 5 scales cleanly with effort while Opus 4.8 stays flat. Ranked by pass@1, then cost per run. Cost is per run (three repeats per cell).

#Modelpass@1$/run
1Claude Sonnet 5 highAccuracy leader100%$0.13
2Claude Sonnet 5 medium99.4%$0.11
3Claude Opus 4.8 medium98.1%$0.13
4Claude Sonnet 5 low97.4%$0.07
5Claude Opus 4.8 low97.4%$0.11
6Claude Opus 4.8 high97.4%$0.14
Report 01 · Cost Pilot · 4 tasks · 24 runs
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The pilot: both models solve every real bug at 100%; the gap is entirely cost, concentrated in a 76k-line repository. Ranked by cost.

#ModelScoreCost$/task76k-LOC task
1Claude Opus 4.8 highValue leader4/4$5.89$1.47$2.08
2Claude Sonnet 5 high4/4$19.88$4.97$15.15

Every number here comes from the open-source harness, computed from full run traces: nothing is hand-entered. Regenerate any row with vulcanbench leaderboard, or reproduce a whole report from scratch: a two-model run costs about ten dollars. The grading underneath is deterministic hidden tests, spelled out in the methodology.