DrugDiscoveryBench
Agents do early-stage drug discovery work, from target identification to lead optimization, in 82 tasks with one checkable answer each. A judge model grades answers against expert rubrics.
A task counts as solved only at a full rubric score, averaged over three runs with a 120 minute timeout. The judge is GPT-5.4. About 25 entries on the board.
- Made by
- Scale AI
- Released
- June 2026
- Kind
- Genomics and life sciences
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Public, plus a private test set
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-6 Astra leads with 68.7%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
- 68.7 GPT-6 Astra
- 65.4
Gemini 4 Argon
- 63.4 Kimi K3.1 Pro
- 62.2
Muse Spark 1.3
- 60.6
DeepSeek V4.1 Flash 1017
- 56.5 GPT-5.6 Sol
- 53.7 Claude Opus 5
- 51.6 GPT-5.5
- 50.0 Claude Sonnet 5
- 50.0
Gemini 3.5 Flash
- 46.8 Claude Opus 4.8
- 41.9
Gemini 3.1 Pro
- 36.2 GLM-5.2
- 35.3 Kimi K2.7 Code
- 31.7
DeepSeek-V4-Pro
- 31.3 Claude Sonnet 4.6
- 29.3 GPT-5.2
- 29.3
Qwen3.7-Max
- 27.7 Claude Opus 4.6
- 22.8
MiniMax-M3
- 1 GPT-6 Astra max 68.7%
- 2
Gemini 4 Argon high 65.4%
- 3 Kimi K3.1 Pro xhigh 63.4%
- 4
Muse Spark 1.3 high 62.2%
- 5
DeepSeek V4.1 Flash 1017 xhigh 60.6%
- 6 GPT-5.6 Sol max 56.5%
- 7 Claude Opus 5 max 53.7%
- 8 GPT-5.5 xhigh 51.6%
- 9 Claude Sonnet 5 max 50%
- 10
Gemini 3.5 Flash high 50%
- 11 Claude Opus 4.8 max 46.8%
- 12
Gemini 3.1 Pro high 41.9%
- 13 GLM-5.2 xhigh 36.2%
- 14 Kimi K2.7 Code xhigh 35.3%
- 15
DeepSeek-V4-Pro xhigh 31.7%
- 16 Claude Sonnet 4.6 max 31.3%
- 17 GPT-5.2 xhigh 29.3%
- 18
Qwen3.7-Max xhigh 29.3%
- 19 Claude Opus 4.6 max 27.7%
- 20
MiniMax-M3 xhigh 22.8%
Source: Official DrugDiscoveryBench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 68.7% | max, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 2 | | 65.4% | high, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 3 | Kimi K3.1 Pro | 63.4% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 4 | | 62.2% | high, mini-SWE-agent | Sep 2026 | Official leaderboard |
| 5 | | 60.6% | xhigh, mini-SWE-agent | Oct 2026 | Official leaderboard |
| 6 | GPT-5.6 Sol | 56.5% | max, Codex | Jul 2026 | Official leaderboard |
| 7 | Claude Opus 5 | 53.7% | max, Claude Code | Jul 2026 | Official leaderboard |
| 8 | GPT-5.5 | 51.6% | xhigh, mini-SWE-agent | Apr 2026 | Official leaderboard |
| 9 | Claude Sonnet 5 | 50% | max, mini-SWE-agent | Jun 2026 | Official leaderboard |
| 10 | | 50% | high, Gemini CLI | May 2026 | Official leaderboard |
| 11 | Claude Opus 4.8 | 46.8% | max, mini-SWE-agent | May 2026 | Official leaderboard |
| 12 | | 41.9% | high, Gemini CLI | Feb 2026 | Official leaderboard |
| 13 | GLM-5.2 | 36.2% | xhigh, mini-SWE-agent | Jun 2026 | Official leaderboard |
| 14 | Kimi K2.7 Code | 35.3% | xhigh, mini-SWE-agent | Jun 2026 | Official leaderboard |
| 15 | | 31.7% | xhigh, mini-SWE-agent | Apr 2026 | Official leaderboard |
| 16 | Claude Sonnet 4.6 | 31.3% | max, mini-SWE-agent | Feb 2026 | Official leaderboard |
| 17 | GPT-5.2 | 29.3% | xhigh, Codex | Dec 2025 | Official leaderboard |
| 18 | | 29.3% | xhigh, mini-SWE-agent | May 2026 | Official leaderboard |
| 19 | Claude Opus 4.6 | 27.7% | max, Claude Code | Feb 2026 | Official leaderboard |
| 20 | | 22.8% | xhigh, mini-SWE-agent | Jun 2026 | Official leaderboard |
4 models have held number one on the official leaderboard since its release in June 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official DrugDiscoveryBench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official DrugDiscoveryBench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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