Benchmark profile
Vals-hosted GPQA Diamond mirror (Vals GPQA Diamond mirror)
Vals AI hosted GPQA Diamond view with few-shot and zero-shot chain-of-thought task splits.
Data verifiedHow BenchLM shows Vals GPQA Diamond mirror
BenchLM mirrors the public Vals AI Vals GPQA Diamond mirror leaderboard captured from https://www.vals.ai/benchmarks/gpqa and updated by Vals on July 17, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Vals GPQA Diamond mirror is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Vals GPQA Diamond mirror score on Vals GPQA Diamond mirror — July 17, 2026
BenchLM mirrors the published vals gpqa diamond mirror score view for Vals GPQA Diamond mirror. Gemini 3.1 Pro Preview leads the public snapshot at 95.45% , followed by GPT-5.6 Sol (95.20%) and Claude Fable 5 (93.18%). BenchLM does not use these results to rank models overall.
Gemini 3.1 Pro Preview
google/gemini-3.1-pro-preview
GPT-5.6 Sol
OpenAI
openai/gpt-5.6-sol
Claude Fable 5
Anthropic
anthropic/claude-fable-5
Vals GPQA Diamond mirror score table (123 models)
ScoreThe published Vals GPQA Diamond mirror snapshot places Gemini 3.1 Pro Preview first at 95.45%. The third row is 2.27 points behind. The broader top-10 range is 3.79 points, so many of the published results sit in a relatively narrow band.
123 models have been evaluated on Vals GPQA Diamond mirror. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Vals GPQA Diamond mirror is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Vals GPQA Diamond mirror
Year
2026
Tasks
GPQA Diamond task splits
Format
Accuracy score
Difficulty
Graduate science reasoning
BenchLM keeps this Vals-hosted GPQA Diamond table separate from canonical GPQA source records.
BenchLM freshness & provenance
Version
Vals GPQA Diamond mirror 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does Vals GPQA Diamond mirror measure?
Vals AI hosted GPQA Diamond view with few-shot and zero-shot chain-of-thought task splits.
Which model leads the published Vals GPQA Diamond mirror snapshot?
Gemini 3.1 Pro Preview currently leads the published Vals GPQA Diamond mirror snapshot with 95.45% vals gpqa diamond mirror score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Vals GPQA Diamond mirror?
123 AI models are included in BenchLM's mirrored Vals GPQA Diamond mirror snapshot, based on the public leaderboard captured on July 17, 2026.
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