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MetagenomicsBench results

Agentic microbial community analysis tasks spanning shotgun, amplicon, long-read and spatially integrated metagenomics.

Published score: Current V1 evaluation set (100 evaluations) · short horizon · data updated 2026-11-13 (November 13, 2026)

Compare current model-and-harness results for MetagenomicsBench. Agentic microbial community analysis tasks spanning shotgun, amplicon, long-read and spatially integrated metagenomics. Current V1 covers 100 evaluations and 42 ranked configurations. Data updated 2026-11-13. The highest-ranked published configurations are Claude Opus 5.5* (Claude Code, LSVP, 62.7%); Claude Opus 5.5* (Pi, LSVP, 62.3%); Claude Fable 5.1* (Pi, LSVP, 61.7%). The highest-ranked published run without an LSVP exemption is Claude Sonnet 5.5 (Claude Code, 60.0%). Scores report benchmark-specific biological task performance on a 0–100 percentage scale. See the linked paper and repository for task construction, grading and uncertainty methodology. Results describe the complete model and agent harness used for each run, and are not comparable across different benchmarks or evaluation versions.

Published MetagenomicsBench scores
RankModelHarnessProviderScoreVariant
1Claude Opus 5.5*Claude CodeAnthropic62.7%LSVP
2Claude Opus 5.5*PiAnthropic62.3%LSVP
3Claude Fable 5.1*PiAnthropic61.7%LSVP
4Claude Sonnet 5.5Claude CodeAnthropic60.0%
5Claude Sonnet 5.5PiAnthropic60.0%
6Claude Opus 5PiAnthropic54.0%
7Claude Opus 5Claude CodeAnthropic53.3%
8Claude Opus 4.8Claude CodeAnthropic50.0%
9GPT-6 AstraCodexOpenAI49.7%
10Grok 4.7PiSpaceXAI48.7%
11Claude Opus 4.8PiAnthropic48.3%
12GPT-6 AstraPiOpenAI47.0%
13GPT-6.1 SolPiOpenAI45.7%
14GPT-6.1 SolCodexOpenAI44.7%
15Claude Opus 5.5Claude CodeAnthropic43.7%
16Claude Sonnet 5PiAnthropic42.3%
17Gemini 4 ArgonPiGoogle42.3%
18GPT-6 SolPiOpenAI42.0%
19Grok 4.6Grok BuildSpaceXAI42.0%
20Claude Sonnet 5Claude CodeAnthropic41.0%
21GPT-6 SolCodexOpenAI40.7%
22Claude Opus 5.5PiAnthropic39.3%
23GPT-6.1 TerraPiOpenAI38.7%
24GPT-6.1 TerraCodexOpenAI38.7%
25Grok 4.6PiSpaceXAI38.7%
26DeepSeek V4.1 FlashPiDeepSeek38.0%
27Claude Opus 4.7PiAnthropic35.3%
28Gemini 3.7 FlashPiGoogle31.7%
29GPT-5.6 SolPiOpenAI31.3%
30GPT-6 LunaCodexOpenAI31.0%
31GPT-6 LunaPiOpenAI30.7%
32GPT-5.6 SolCodexOpenAI28.7%
33Claude Sonnet 4.6Claude CodeAnthropic28.3%
34Claude Sonnet 4.6PiAnthropic27.7%
35GLM 5.3PiZ.ai27.3%
36Kimi K3PiMoonshot27.3%
37Gemini 3.8 FlashPiGoogle26.7%
38Mistral Large 4.0PiMistral26.3%
39GPT-5.6 LunaCodexOpenAI24.3%
40GPT-5.6 LunaPiOpenAI22.7%
41Nemotron 3 Ultra 550B A55BPiNVIDIA16.3%
42Nemotron 3.5 LightningPiNVIDIA7.7%

Methodology and provenance

Scores use a 0–100 percentage scale. See Paper PDF, Original publication, Repository for task construction, grading, aggregation, and uncertainty details.

LSVP: Anthropic's safety-filter-exempt evaluation variant, which produces fewer refusals on biology prompts. LSVP results are reported alongside the model's standard run and are not a replacement for it.