VCT-v2
Models answer an updated set of expert virology troubleshooting questions from SecureBio. Scored as refusal-corrected accuracy.
279 text and image questions with a private holdout. 35 PhD virologists give the expert baseline, reusing 216 original VCT expert answers rescored.
- Made by
- SecureBio
- Released
- September 2026
- Kind
- Lab protocols
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last in a system card
- September 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
Claude Opus 5.5 leads with 60.5%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 60.5 Claude Opus 5.5
- 58.0 GPT-6 Astra
- 57.3
Gemini 4 Argon
- 52.2 Claude Sonnet 5.5
- 50.3 GPT-5.5 Rosalind
- 49.4 GPT-5.6 Sol
- 49.3 GPT-6 Sol
- 48.6
Gemini 3.7 Flash
- 46.5
Gemini 3.5 Flash
- 46.2 Kimi K3.1 Pro
- 45.9 Claude Opus 4.8
- 45.3 GPT-5.5
- 45.3 GPT-5.5 Pro
- 45.2
Gemini 3.8 Flash
- 43.6 Gemini 3.1 Pro (Feb 26' Preview)
- 42.0 Grok 4.7
- 41.9 GPT-5.6 Terra
- 41.8 Kimi K3
- 41.2 Grok 4.5
- 39.4
Mistral Large 4
- 38.5
DeepSeek V4.1 Flash 1017
- 37.2 Kimi K2.6
- 34.5
Inkling-Small
- 31.9
Inkling
- 28.0
Qwen 3.8 27B
- 26.0
Nemotron 3.5 Super VL
- 20.0 Claude Haiku 4.5
- 1 Claude Opus 5.5 max 60.5%
- 2 GPT-6 Astra max 58%
- 3
Gemini 4 Argon high 57.3%
- 4 Claude Sonnet 5.5 max 52.2%
- 5 GPT-5.5 Rosalind xhigh 50.3%
- 6 GPT-5.6 Sol max 49.4%
- 7 GPT-6 Sol max 49.3%
- 8
Gemini 3.7 Flash high 48.6%
- 9
Gemini 3.5 Flash high 46.5%
- 10 Kimi K3.1 Pro max 46.2%
- 11 Claude Opus 4.8 max 45.9%
- 12 GPT-5.5 xhigh 45.3%
- 13 GPT-5.5 Pro xhigh 45.3%
- 14
Gemini 3.8 Flash high 45.2%
- 15 Gemini 3.1 Pro (Feb 26' Preview) high 43.6%
- 16 Grok 4.7 xhigh 42%
- 17 GPT-5.6 Terra max 41.9%
- 18 Kimi K3 max 41.8%
- 19 Grok 4.5 41.2%
- 20
Mistral Large 4 high 39.4%
- 21
DeepSeek V4.1 Flash 1017 max 38.5%
- 22 Kimi K2.6 37.2%
- 23
Inkling-Small xhigh 34.5%
- 24
Inkling xhigh 31.9%
- 25
Qwen 3.8 27B xhigh 28%
- 26
Nemotron 3.5 Super VL 26%
- 27 Claude Haiku 4.5 16k 20%
Source: Official VCT-v2 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | 60.5% | max | Sep 2026 | Official leaderboard |
| 2 | GPT-6 Astra | 58% | max | Sep 2026 | Official leaderboard |
| 3 | | 57.3% | high | Sep 2026 | Official leaderboard |
| 4 | Claude Sonnet 5.5 | 52.2% | max | Sep 2026 | Official leaderboard |
| 5 | GPT-5.5 Rosalind | 50.3% | xhigh | Jun 2026 | Official leaderboard |
| 6 | GPT-5.6 Sol | 49.4% | max | Jul 2026 | Official leaderboard |
| 7 | GPT-6 Sol | 49.3% | max | Sep 2026 | Official leaderboard |
| 8 | | 48.6% | high | Aug 2026 | Official leaderboard |
| 9 | | 46.5% | high | May 2026 | Official leaderboard |
| 10 | Kimi K3.1 Pro | 46.2% | max | Oct 2026 | Official leaderboard |
| 11 | Claude Opus 4.8 | 45.9% | max | May 2026 | Official leaderboard |
| 12 | GPT-5.5 | 45.3% | xhigh | Apr 2026 | Official leaderboard |
| 13 | GPT-5.5 Pro | 45.3% | xhigh | Apr 2026 | Official leaderboard |
| 14 | | 45.2% | high | Sep 2026 | Official leaderboard |
| 15 | Gemini 3.1 Pro (Feb 26' Preview) | 43.6% | high | Feb 2026 | Official leaderboard |
| 16 | Grok 4.7 | 42% | xhigh | Sep 2026 | Official leaderboard |
| 17 | GPT-5.6 Terra | 41.9% | max | Jul 2026 | Official leaderboard |
| 18 | Kimi K3 | 41.8% | max | Jul 2026 | Official leaderboard |
| 19 | Grok 4.5 | 41.2% | Jul 2026 | Official leaderboard | |
| 20 | | 39.4% | high | Oct 2026 | Official leaderboard |
| 21 | | 38.5% | max | Oct 2026 | Official leaderboard |
| 22 | Kimi K2.6 | 37.2% | Apr 2026 | Official leaderboard | |
| 23 | | 34.5% | xhigh | Jul 2026 | Official leaderboard |
| 24 | | 31.9% | xhigh | Jul 2026 | Official leaderboard |
| 25 | | 28% | xhigh | Aug 2026 | Official leaderboard |
| 26 | | 26% | Oct 2026 | Official leaderboard | |
| 27 | Claude Haiku 4.5 | 20% | 16k | Oct 2025 | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
3 models have held number one on the official leaderboard since its release in September 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official VCT-v2 leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official VCT-v2 leaderboard and labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Sep 3, 2026 | GPT-6 Astra system card | 57.7 | SecureBio VCT-v2, refusal-corrected accuracy, pre-release checkpoint (10.1.1.4) | Bio and chem risk |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| GPT-6 Astra | 57.7% SecureBio VCT-v2, refusal-corrected accuracy, pre-release checkpoint (10.1.1.4) | 58% Leaderboard, max | −0.3 pts |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Sources: Official leaderboards and labs’ model cards
More in Biology and chemistry
- GeneBench Pro In use Agents analyze messy simulated genomics and biology datasets to estimate a decision-relevant quantity across 129 problems. Scored automatically against known answers. GPT-5.6 Sol 31.5%
- SUPERChem In use Models solve 500 expert-written chemistry reasoning problems, offered in multimodal and text-only forms. Expert solution paths also allow a reasoning path score.
Tencent Hy4 preview 66.4%
- LifeSciBench In use Models complete 750 expert-written life science research tasks, often with attached figures, tables, or sequence files. Graded against expert rubrics as score and pass rate. GPT-Rosalind-6 61.3%
- MedChemBench (OpenAI) In use Models answer chemistry questions from an OpenAI internal set, grouped with OpenAI's life science research evaluations. OpenAI has not published the task format. GPT-Rosalind-6 49.6%
- ProtocolQA Open-Ended In use Models correct errors in published lab protocols using open-ended questions adapted from LAB-Bench ProtocolQA. Scored as pass@1. GPT-6 Cyber 47.2%
- MolecularIQ In use Models answer questions about molecular graphs, such as counting, indexing and constrained generation, and a symbolic checker verifies each answer. gpt-oss-120b 47.5%