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SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines (SuperGPQA)

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An expanded version of GPQA that evaluates graduate-level knowledge and reasoning capabilities across 285 disciplines, providing comprehensive coverage of academic domains.

Top models on SuperGPQA — October 29, 2026

As of October 29, 2026, Claude Opus 4.6 leads the SuperGPQA leaderboard with 95% , followed by Claude Sonnet 4.6 (95%) and Qwen 3.6 Max (preview) (73.9%).

24 modelsKnowledge2% of Knowledge reference weightCurrentUpdated October 29, 2026

Leaderboard (24 models)

SuperGPQA leaderboard
RankModel / configurationScoreParameters (B)Open / closed
1Claude Opus 4.6Anthropic
95%
Not reportedClosed
2Claude Sonnet 4.6Anthropic
95%
Not reportedClosed
3Qwen 3.6 Max (preview)Alibaba
73.9%
Not reportedClosed
4Qwen3.7 MaxAlibaba
73.6%
Not reportedClosed
5Qwen3.6 PlusAlibaba
71.6%
Not reportedClosed
6Qwen3.7 PlusAlibaba
71.4%
Not reportedClosed
7Seed 2.1 ProByteDance
70.8%
Not reportedClosed
8Claude Opus 4.5Anthropic
70.6%
Not reportedClosed
9Qwen3.5 397BAlibaba
70.4%
Not reportedOpen
10Kimi K2.5Moonshot AI
69.2%
Not reportedOpen
11Seed 2.1 TurboByteDance
67.4%
Not reportedClosed
12Qwen3.5-122B-A10BAlibaba
67.1%
Not reportedOpen
13GLM-5Z.AI
66.8%
Not reportedOpen
14Qwen3.6-27BAlibaba
66%
Not reportedOpen
15Qwen3.5-27BAlibaba
65.6%
Not reportedOpen
16Qwen3 235B 2507 (Reasoning)Alibaba
64.9%
Not reportedOpen
17Qwen3.6-35B-A3BAlibaba
64.7%
Not reportedOpen
18Qwen3.5-35B-A3BAlibaba
63.4%
Not reportedOpen
19Qwen3 235B 2507Alibaba
62.6%
Not reportedOpen
20Kimi K2Moonshot AI
57.2%
Not reportedClosed
21DeepSeek V4 Pro BaseDeepSeek
53.9%
Not reportedOpen
22DeepSeek V4 Flash BaseDeepSeek
46.5%
Not reportedOpen
23MiniCPM5-2BOpenBMB
40.8%
Not reportedOpen
24MiniCPM5-1BOpenBMB
23.1%
Not reportedOpen

According to BenchLM.ai, Claude Opus 4.6 leads the SuperGPQA benchmark with a score of 95%, followed by Claude Sonnet 4.6 (95%) and Qwen 3.6 Max (preview) (73.9%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.

24 models have been evaluated on SuperGPQA. The benchmark falls in the Knowledge category. BenchAlign v5.8 gives SuperGPQA 2% of the Knowledge reference weight, so it moves the Knowledge leaderboard and the overall ranking. Reference weights are relative weights in the calibrated model, not fixed shares of a score.

About SuperGPQA

Year

2025

Tasks

285 disciplines

Format

Multiple choice questions

Difficulty

Graduate level

SuperGPQA significantly expands the scope of graduate-level evaluation by covering 285 disciplines compared to GPQA's focus on 3 subjects. It maintains the same rigorous standards while providing broader coverage of academic knowledge.

Freshness and provenance

Version

SuperGPQA 2025

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

Current

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.

Questions

What does SuperGPQA measure?

An expanded version of GPQA that evaluates graduate-level knowledge and reasoning capabilities across 285 disciplines, providing comprehensive coverage of academic domains.

Which model scores highest on SuperGPQA?

Claude Opus 4.6 by Anthropic currently leads with a score of 95% on SuperGPQA.

How many models are evaluated on SuperGPQA?

24 AI models have published results on SuperGPQA in the BenchLM catalog.

Last updated: October 29, 2026 · BenchLM version SuperGPQA 2025

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