34 observations · 34 standings · first ingest Oct 2, 2026
Source record llm-stats-supergpqa · higher is better · declared max 1
| Subject | Value | Instrument | Protocol | Measured by | Reported | Document |
|---|---|---|---|---|---|---|
| Qwen3.7 Max | 0.74 | – | – | Qwen | May 19, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.6 Plus | 0.72 | – | – | Qwen | Apr 2, 2026 |
| //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.7-Plus | 0.71 | – | – | Qwen | May 31, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Seed 2.1 Pro | 0.71 | – | – | ByteDance | Jun 24, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-397B-A17B | 0.70 | – | – | Qwen | Feb 16, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Seed 2.1 Turbo | 0.67 | – | – | ByteDance | Jun 24, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-122B-A10B | 0.67 | – | – | Qwen | Feb 24, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.6-27B | 0.66 | – | – | Qwen | Apr 21, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-27B | 0.66 | – | – | Qwen | Feb 24, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 Max | 0.65 | – | – | Qwen | Dec 15, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3-235B-A22B-Thinking-2507 | 0.65 | – | – | Qwen | Jul 25, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.6-35B-A3B | 0.65 | – | – | Qwen | Apr 16, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 235B A22B Thinking | 0.64 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-35B-A3B | 0.63 | – | – | Qwen | Feb 24, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3-235B-A22B-Instruct-2507 | 0.63 | – | – | Qwen | Jul 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3-Next-80B-A3B-Thinking | 0.61 | – | – | Qwen | Sep 10, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 235B A22B Instruct | 0.60 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 32B Thinking | 0.59 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3-Next-80B-A3B-Instruct | 0.59 | – | – | Qwen | Sep 10, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-9B | 0.58 | – | – | Qwen | Mar 2, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Kimi K2-Instruct-0905 | 0.57 | – | – | Moonshot AI | Sep 5, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Kimi K2 Instruct | 0.57 | – | – | Moonshot AI | Jul 11, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 30B A3B Thinking | 0.56 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 32B Instruct | 0.55 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 30B A3B Instruct | 0.53 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-4B | 0.53 | – | – | Qwen | Mar 2, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 8B Thinking | 0.51 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 4B Thinking | 0.47 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Kimi K2 Base | 0.45 | – | – | Moonshot AI | Jul 11, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 8B Instruct | 0.45 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 235B A22B | 0.44 | – | – | Qwen | Apr 29, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3 VL 4B Instruct | 0.40 | – | – | Qwen | Sep 22, 2025(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-2B | 0.38 | – | – | Qwen | Mar 2, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Qwen3.5-0.8B | 0.21 | – | – | Qwen | Mar 2, 2026(model_announcement) | //api.zeroeval.com/leaderboard/benchmarks/supergpqa?top_n=500 |
| Subject | Value | Reported | Kind | Ingested |
|---|---|---|---|---|
| Seed 2.1 Pro | 0.71 | Jun 24, 2026 | unspecified | Oct 2, 2026 |
| Seed 2.1 Turbo | 0.67 | Jun 24, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.7-Plus | 0.71 | May 31, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.7 Max | 0.74 | May 19, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.6-27B | 0.66 | Apr 21, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.6-35B-A3B | 0.65 | Apr 16, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.6 Plus | 0.72 | Apr 2, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-9B | 0.58 | Mar 2, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-4B | 0.53 | Mar 2, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-2B | 0.38 | Mar 2, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-0.8B | 0.21 | Mar 2, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-122B-A10B | 0.67 | Feb 24, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-27B | 0.66 | Feb 24, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-35B-A3B | 0.63 | Feb 24, 2026 | unspecified | Oct 2, 2026 |
| Qwen3.5-397B-A17B | 0.70 | Feb 16, 2026 | unspecified | Oct 2, 2026 |
| Qwen3 Max | 0.65 | Dec 15, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 235B A22B Thinking | 0.64 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 235B A22B Instruct | 0.60 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 32B Thinking | 0.59 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 30B A3B Thinking | 0.56 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 32B Instruct | 0.55 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 30B A3B Instruct | 0.53 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 8B Thinking | 0.51 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 4B Thinking | 0.47 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 8B Instruct | 0.45 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 VL 4B Instruct | 0.40 | Sep 22, 2025 | unspecified | Oct 2, 2026 |
| Qwen3-Next-80B-A3B-Thinking | 0.61 | Sep 10, 2025 | unspecified | Oct 2, 2026 |
| Qwen3-Next-80B-A3B-Instruct | 0.59 | Sep 10, 2025 | unspecified | Oct 2, 2026 |
| Kimi K2-Instruct-0905 | 0.57 | Sep 5, 2025 | unspecified | Oct 2, 2026 |
| Qwen3-235B-A22B-Thinking-2507 | 0.65 | Jul 25, 2025 | unspecified | Oct 2, 2026 |
| Qwen3-235B-A22B-Instruct-2507 | 0.63 | Jul 22, 2025 | unspecified | Oct 2, 2026 |
| Kimi K2 Instruct | 0.57 | Jul 11, 2025 | unspecified | Oct 2, 2026 |
| Kimi K2 Base | 0.45 | Jul 11, 2025 | unspecified | Oct 2, 2026 |
| Qwen3 235B A22B | 0.44 | Apr 29, 2025 | unspecified | Oct 2, 2026 |
4 observations · 4 standings · first ingest Oct 2, 2026
Source record super_gpqa · higher is better · metric accuracy
| Subject | Value | Instrument | Protocol | Measured by | Reported | Document |
|---|---|---|---|---|---|---|
| Qwen3.5-397B-A17B | 70.4% | super_gpqa | thinking (temp 0.6, top_p 0.95, top_k 20) | Qwen | Feb 16, 2026(publication date) | qwen3_5_model_card |
| Seed2.0 Pro | 68.7% | super_gpqa | as printed in Table 3 (Large Models) | ByteDance | Feb 14, 2026(publication date) | bytedance_seed2_0_model_card |
| Seed2.0 Lite | 57.9% | super_gpqa | as printed in Table 4 (Efficient Models) | ByteDance | Feb 14, 2026(publication date) | bytedance_seed2_0_model_card |
| Seed2.0 Mini | 49.8% | super_gpqa | as printed in Table 4 (Efficient Models) | ByteDance | Feb 14, 2026(publication date) | bytedance_seed2_0_model_card |
| Subject | Value | Reported | Kind | Ingested |
|---|---|---|---|---|
| Qwen3.5-397B-A17B | 70.4% | Feb 16, 2026 | self-reported | Oct 2, 2026 |
| Seed2.0 Pro | 68.7% | Feb 14, 2026 | self-reported | Oct 2, 2026 |
| Seed2.0 Lite | 57.9% | Feb 14, 2026 | self-reported | Oct 2, 2026 |
| Seed2.0 Mini | 49.8% | Feb 14, 2026 | self-reported | Oct 2, 2026 |
documents that define or report scores for this benchmark
| other | – | SuperGPQA– |
| other | ByteDance | Seed2.0 (Pro / Lite / Mini)Feb 14, 2026 |
| other | DeepSeek | DeepSeek-V4-ProApr 22, 2026 |
| other | Qwen | Qwen3.5-397B-A17BFeb 16, 2026 |
| other | – | SuperGPQA– |
Observations and source documents are located via the tracking corpus. Every row cites its primary source document; observations from different sources stay in separate partitions and are never merged into a cross-source ranking.