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GPT-6.1 Sol

OpenAI·Released Sep 29, 2026

Updated Oct 8, 11:55 PM ET

Overall score
70.7
Rank #7 overall
Evidence
31 results
88% of scored kinds covered
Context window
1.1M tokens
From OpenRouter
API price, USD per 1M tokens
$2 / $10
Input / output · cached input $0.10

The score is on the board's scale (reference average 50, about 15 points per standard deviation), not a percentage.

By domain

Each domain is scored on the same scale as the overall score. Coverage is the share of the domain's kinds of evaluation with a result; it says how much evidence there is, not how good the model is.

Coding#9
67.5
9 results · 89% coverage
Research and reasoning#2
86.6
9 results · 100% coverage
Professional work#16
61.2
8 results · 89% coverage
Knowledge and accuracy#4
74.8
4 results · 67% coverage
Human preference
57.4
1 result · 100% coverage

Every result behind the score

The result as the evaluator publishes it, and the reading it gives on the board's scale. A hard evaluation can give a high reading for a modest result; results near 95% or 5% only say "at least" or "at most".

Coding

9 results · 67.5

Research and reasoning

9 results · 86.6

Professional work

8 results · 61.2

Knowledge and accuracy

4 results · 74.8

Human preference

1 result · 57.4
  • Arena Text
    LMArena · max effort
    1,483.2
    Reading 50.4

Shown, not scored

Composite indices, saturated or older evaluations, evaluations still being checked, and vision, writing and multilingual results. They do not move the score.

No result yet

Scored evaluations this model has not taken. A missing result neither adds nor subtracts.

  • Vibe Code Bench 1–100 · Vals AI
  • τ²-Bench Telecom (AA run) · Artificial Analysis
  • τ-Bench Banking (AA run) · Artificial Analysis
  • BullshitBench · BullshitBench
  • IFBench (AA run) · Artificial Analysis
How readings and scores are computed