Terminal-Bench Science leaderboard
As of 6 Nov 2026, the top score on Terminal-Bench Science is 62.9% by GPT-6 Astra (OpenAI), ahead of GPT-6.1 Sol at 52.9%, across 44 model configurations with a published result (Vals AI, result dated 5 Nov 2026). Scientists wrote multi-step research workflows, from data processing to analysis, for an agent to complete in a shell. Terminal-Bench Science is shown for reference only and does not count toward the BenchLeader Index.
Key facts (as of 6 Nov 2026)
- GPT-6 Astra holds the top Terminal-Bench Science score at 62.9% (Vals AI, 5 Nov 2026).
- GPT-6.1 Sol is second on Terminal-Bench Science at 52.9% (Vals AI, 5 Nov 2026).
- Terminal-Bench Science: Expert-authored scientific research workflows in a terminal. Run by Vals AI (Vals AI).
- 44 model configurations have a published Terminal-Bench Science result on BenchLeader (BenchLeader, 6 Nov 2026).
- Terminal-Bench Science does not feed the BenchLeader Index; it is shown for reference (BenchLeader methodology).
Expert-authored scientific research workflows in a terminal. Run by Vals AI.
- Published by
- Vals AI
- Category
- Agents & tools
- Index weight
- Reference only
- Models
- 44
- Data as of
- 6 Nov 2026
Vals AI (vals.ai).
What the test looks like
Scientists wrote multi-step research workflows, from data processing to analysis, for an agent to complete in a shell.
How it is scored
Percent of workflows completed, run by Vals AI.
What to keep in mind
Domain knowledge and tooling both matter; few models measured.
- 1GPT-6 Astra (max)62.9%
- 2GPT-6.1 Sol (max)52.9%
- 3Claude Opus 5.547.1%
- 4Claude Sonnet 5.547.1%
- 5Gemini 4 Argon (high)44.3%
- 6Claude Fable 5.140.0%
- 7Muse Wonder Full (max)37.1%
- 8Kimi K3.1 Pro (max)31.4%
- 9GPT-6 Sol (max)30.0%
- 10Claude Opus 527.1%
- 11Muse Wonder (max)22.9%
- 12GPT-5.6 Sol (max)20.0%
- 13Claude Fable 515.7%
- 14Qwen3.8 Max (max)12.9%
- 15Grok 4.6 (high)11.4%
| # | |||||
|---|---|---|---|---|---|
| 1 | 62.9% | 67.8 | $20.80 | 2026-11-05 | |
| 2 | 52.9% | 67.3 | $3.44 | 2026-11-05 | |
| 3 | 47.1% | 63.4 | $19.12 | 2026-11-05 | |
| 4 | 47.1% | – | $19.57 | 2026-11-05 | |
| 5 | 44.3% | 66.0 | $44.90 | 2026-11-05 | |
| 6 | 40.0% | 66.4 | $38.01 | 2026-11-05 | |
| 7 | 37.1% | 62.9 | $22.81 | 2026-11-05 | |
| 8 | 31.4% | – | $8.58 | 2026-11-05 | |
| 9 | 30.0% | 63.3 | $5.82 | 2026-11-05 | |
| 10 | 27.1% | 65.2 | $32.54 | 2026-11-05 | |
| 11 | 22.9% | 62.3 | $19.61 | 2026-11-05 | |
| 12 | 20.0% | 65.4 | $7.32 | 2026-11-05 | |
| 13 | 15.7% | 66.5 | $51.99 | 2026-11-05 | |
| 14 | 12.9% | 58.8 | $16.68 | 2026-11-05 | |
| 15 | 11.4% | 60.5 | $4.82 | 2026-11-05 | |
| 16 | 10.0% | 62.0 | $6.09 | 2026-11-05 | |
| 17 | 10.0% | 60.7 | $5.19 | 2026-11-05 | |
| 18 | 10.0% | 58.3 | $17.04 | 2026-11-05 | |
| 19 | 10.0% | – | $4.52 | 2026-11-05 | |
| 20 | 8.6% | 62.0 | $5.64 | 2026-11-05 | |
| 21 | 7.1% | 62.2 | $7.19 | 2026-11-05 | |
| 22 | 5.7% | 62.5 | $3.80 | 2026-11-05 | |
| 23 | 5.7% | 59.0 | $15.63 | 2026-11-05 | |
| 24 | 5.7% | 55.9 | $30.30 | 2026-11-05 | |
| 25 | Ember-1 | 5.7% | – | $30.76 | 2026-11-05 |
| 26 | 4.3% | 61.2 | $4.39 | 2026-11-05 | |
| 27 | 4.3% | 60.0 | $23.14 | 2026-11-05 | |
| 28 | 4.3% | 58.5 | $4.41 | 2026-11-05 | |
| 29 | 4.3% | 57.3 | $1.10 | 2026-11-05 | |
| 30 | 4.3% | 57.0 | $4.63 | 2026-11-05 | |
| 31 | 4.3% | 56.7 | $0.241 | 2026-11-05 | |
| 32 | 4.3% | 55.0 | $0.244 | 2026-11-05 | |
| 33 | NewInkling 2 Small | 2.9% | 57.4 | $5.55 | 2026-11-05 |
| 34 | 2.9% | 57.3 | $0.621 | 2026-11-05 | |
| 35 | 2.9% | 54.9 | $4.25 | 2026-11-05 | |
| 36 | 2.9% | 54.2 | $0.524 | 2026-11-05 | |
| 37 | 1.4% | 62.1 | $21.30 | 2026-11-05 | |
| 38 | 1.4% | 60.1 | $5.91 | 2026-11-05 | |
| 39 | 1.4% | 55.7 | $2.14 | 2026-11-05 | |
| 40 | 1.4% | 45.8 | – | 2026-11-05 | |
| 41 | 0.0% | 59.0 | $0.473 | 2026-11-05 | |
| 42 | 0.0% | 56.3 | $0.581 | 2026-11-05 | |
| 43 | 0.0% | 52.5 | $11.14 | 2026-11-05 | |
| 44 | 0.0% | – | $0.178 | 2026-11-05 |
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Cite as: BenchLeader, “Terminal-Bench Science leaderboard”, data as of 6 Nov 2026, https://www.benchleader.com/benchmarks/vals_terminal_bench_science.
Terminal-Bench Science: questions
- What does Terminal-Bench Science measure?
- Scientists wrote multi-step research workflows, from data processing to analysis, for an agent to complete in a shell. Scores are reported in percent of tasks solved; higher is better.
- What is the top score on Terminal-Bench Science?
- As of 6 Nov 2026, the highest score on Terminal-Bench Science is 62.9% by GPT-6 Astra (result dated 5 Nov 2026), ahead of GPT-6.1 Sol at 52.9%. Scores come from Vals AI and are re-read daily.
- Which AI model leads Terminal-Bench Science?
- GPT-6 Astra leads Terminal-Bench Science with 62.9% as of 6 Nov 2026 (result dated 5 Nov 2026), ahead of GPT-6.1 Sol at 52.9%.
- How many models have Terminal-Bench Science results?
- 44 model configurations have a Terminal-Bench Science result on BenchLeader, all taken from Vals AI.
- Who runs Terminal-Bench Science and how often is it updated?
- Terminal-Bench Science is published by Vals AI. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does Terminal-Bench Science count toward the BenchLeader Index?
- No. Terminal-Bench Science is shown for reference but left out of the composite index.