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GPT-6.1 Sol

Released 29 Sep 2026$2 input, $10 output per million tokens1.05M contextproprietaryAlso written as GPT-6.1 Sol Pro, openai/gpt-6.1-sol, openai/gpt-6.1-sol-pro

3 results on 3 of 13 boards, latest measured Sep 2026. Compare with other models

Clinical Benchmarks Index42.3Rank 24 of 1493 of 10 boardsAverage × multiplier 59.8 × 0.707 = 42.3This site’s own calculation. Working How it is computed

Results

Each line sits on its own board's scale. Tall tick: the board leader.

Clinical reasoning and knowledge

  1. HealthBench Professional
    OpenAI; length-adjusted; 64.2 (67.2, 3038) (adjusted, raw, mean response characters); addendum Table 7 refers to the GPT-6 Astra card for method
    0.642
    Rank 8 of 35Leader GPT-6 Astra (Anthropic run) 0.703
    Vendor-reported
    Measured Sep 2026

Documentation and coding

  1. MedScribe (Vals AI)
    model ID openai/gpt-6.1-sol; max_output_tokens=128000; reasoning_effort=max
    86.45
    Rank 20 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID openai/gpt-6.1-sol; reasoning_effort=max; max_output_tokens=128000
    48.84
    Rank 25 of 103Leader Claude Opus 5 63.57
    Official leaderboard
    Measured Sep 2026

Index working

The Clinical Benchmarks Index is this site's own calculation: a weighted average of the board scores times a multiplier for the boards behind it. How it is computed

  • HealthBench Professional0.64264.2×0.743OpenAI; length-adjusted; 64.2 (67.2, 3038) (adjusted, raw, mean response characters); addendum Table 7 refers to the GPT-6 Astra card for method
  • MedScribe (Vals AI)86.4586.5×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID openai/gpt-6.1-sol; max_output_tokens=128000; reasoning_effort=max
  • MedCode (Vals AI)48.8448.8×0.911model ID openai/gpt-6.1-sol; reasoning_effort=max; max_output_tokens=128000
Weighted average of 3 boards
59.8
Multiplier for 3 of 10 boards
× 0.707
Index
59.8 × 0.707 = 42.3

Score: the result on the board’s own 0 to 100 scale. Dot: this model; tick: the board’s leader. Weight: how much the board counts in the weighted average; bold where the board is near its ceiling and counts for less. Each result links to its quote and page; the line under it is the setting it was measured with.

Sources

The quote, page and document for each of the 3 results
  1. 8HealthBench Professional length-adjusted 0.642
    Printed as 64.2Vendor-reported, measured Sep 2026Configuration: OpenAI; length-adjusted; 64.2 (67.2, 3038) (adjusted, raw, mean response characters); addendum Table 7 refers to the GPT-6 Astra card for method
    Addendum to GPT-6 Astra System Card: GPT-6.1 Sol system card, OpenAI, 29 Sep 2026. Section 5.1, Table 7, HealthBench Professional length-adjusted, GPT-6.1 Sol column
    EVALUATION | GPT-5.5 | GPT-5.6 SOL | GPT-5.6 TERRA | GPT-5.6 LUNA | GPT-6 ASTRA | GPT-6 SOL | GPT-6 LUNA | GPT-6.1 SOL HealthBench Professional length-adjusted | 51.8 (57.2, 3818) | 60.5 (64.1, 3228) | 57.7 (62.4, 3618) | 55.7 (59.8, 3389) | 64.7 (68.2, 3185) | 60.8 (59.5, 1573) | 60.8 (61.2, 2119) | 64.2 (67.2, 3038)
    Every result from this document
  2. 20MedScribe (Vals AI) gpt-6.1-sol 86.45
    Printed as 86.45%Official leaderboard, measured Sep 2026Configuration: model ID openai/gpt-6.1-sol; max_output_tokens=128000; reasoning_effort=max
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 20 of 105 (GPT-6.1 Sol), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["openai/gpt-6.1-sol"].
    20 | GPT-6.1 Sol | 86.45%±1.90 | $2/$10 | 2m50s
    Every result from this document
  3. 25MedCode (Vals AI) gpt-6.1-sol 48.84
    Printed as 48.84%Official leaderboard, measured Sep 2026Configuration: model ID openai/gpt-6.1-sol; reasoning_effort=max; max_output_tokens=128000
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 25 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["openai/gpt-6.1-sol"].
    25 | GPT-6.1 Sol | 48.84%±2.12 | $2/$10 | 115.34s
    Every result from this document

Other OpenAI models: GPT-4.1, GPT-4.1 mini, GPT-4o, GPT-5, GPT-5.1, GPT-5.2, GPT-5.3-Codex, GPT-5.4, GPT-5.4 mini, GPT-5.4 nano, GPT-5.5, GPT-5.5 Instant, GPT-5.6 Luna, GPT-5.6 Sol, GPT-5.6 Terra, GPT-5 mini, GPT-5 nano, GPT-6 Astra, GPT-6 Luna, GPT-6 Sol, GPT OSS 120B, GPT OSS 20B, o3, o4-mini