| Benchmark | Claude Sonnet 4.5 | GLM-5.1 |
|---|---|---|
| AA Agentic Index | 50.6 | 66 |
| AA Intelligence | 37.4 | 41 |
| AA-LCR | 68.3 | 68 |
| AA-Omniscience | -0.1 | 0.8 |
| arena_elo | 1456 | 1468 |
| arena_text_factuality | 1448 | 1458 |
| Artificial Analysis Coding Index | 52.1 | 55.8 |
| browsecomp | 24.1 | 79.3 |
| coding_arena_elo | 1392 | 1510 |
| critpt | 1.1 | 4.6 |
| frontiermath_tier_4 | 4.2 | 12.5 |
| gdpval | 40.4 | 49.5 |
| GPQA Diamond | 83.4 | 86.8 |
| HLE | 19.8 | 52.3 |
| HLE (with tools) | 32 | 52.3 |
| HMMT 2025 | 74.6 | 94 |
| hmmt_nov_2025 | 81.7 | 94 |
| IFBench | 57.3 | 76.3 |
| imo_answer_bench | 65.9 | 83.8 |
| MCP Atlas | 59.5 | 75.6 |
| MMLU-Pro | 88.2 | 86 |
| OmniScience Accuracy | 32.9 | 25.2 |
| OmniScience Non-Hallucination | 50.9 | 70.1 |
| scicode | 45 | 43.8 |
| simplebench | 54.3 | 55.1 |
| simpleqa_verified | 23.6 | 38.1 |
| SWE-bench Multilingual | 68 | 73.3 |
| SWE-bench Pro | 43.6 | 58.4 |
| TauBench V3 - Banking | 24.5 | 13.6 |
| Terminal-Bench 2.0 | 50 | 69 |
| Terminal-Bench 2.1 | 55.8 | 63.5 |
| Terminal-Bench Hard | 35.6 | 43.2 |
| toolathlon | 41 | 40.7 |
| τ²-Bench Telecom (AA run) | 78.1 | 97.7 |
| τ³-Bench | 19 | 70.6 |
Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.