Zhipu AI·released 2026-04-071 source
GLM-5.1 benchmark scores: 12 benchmarks tracked. 33% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 12 benchmarks·best result 93.33 on OTIS Mock AIME 2024-2025 (reproduced)·4 of 12 independently reproduced·$1.4/$4.4 per M tokens
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.33accuracy (%) | reproduced· optimizedT1 | 2026-04-07Epoch AI |
| GPQA diamond | 86.53accuracy (%) | reproduced· optimizedT1 | 2026-04-07Epoch AI |
| SWE-Bench verified | 74.17accuracy (%) | reproduced· optimizedT1 | 2026-04-07Epoch AI |
| WeirdML | 57.1accuracy (%) | unverifiedT1 | 2026-04-07https://htihle.github.io/weirdml.html |
| SimpleBench | 46.12accuracy (%) | unverifiedT1 | 2026-04-07SimpleBench Leaderboard |
| APEX-Agents | 40.9accuracy (%) | unverifiedT2 | 2026-04-07 |
| FrontierMath-Tiers-1-3-v2-Private | 36.84accuracy (%) | unverifiedT2 | 2026-04-07 |
| SimpleQA Verified | 34accuracy (%) | unverifiedT2 | 2026-04-07 |
| ProofBench | 22.22accuracy (%) | unverifiedT1 | 2026-04-07https://www.vals.ai/benchmarks/proof_bench |
| FrontierMath-Tier-4-2025-07-01-Private | 20.83accuracy (%) | reproducedT1 | 2026-04-07Epoch AI |
| ExploitBench | 18.1accuracy (%) | unverifiedT2 | 2026-04-07 |
| Chess Puzzles | 15.82accuracy (%) | unverifiedT2 | 2026-04-07 |
Claims drawn from cited facts, not live model generation.
This model was developed by Zhipu AI and released in 2026.
2 cited facts
This model has scores on 12 tracked benchmarks and currently leads 0 of them. The record’s evidence status is independently reproduced.
3 cited facts
Its mean gap to the best recorded score across its tracked benchmarks is 33.99 points.
1 cited fact
6 facts cross-checked across data sources: 1 single-source, 5 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, litellm_prices, modelsdev_models, openrouter_models
GLM-5.1 is an AI model developed by Zhipu AI, released 2026-04-07. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
GLM-5.1 has recorded scores on 12 benchmarks, each shown with its evidence status.
GLM-5.1 has recorded scores on 12 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, WeirdML, SimpleQA Verified, Chess Puzzles, SimpleBench, and 6 more. The full table above shows each score with its evidence status.
4 of 12 recorded scores (33%) are independently reproduced rather than self-reported by the lab.
GLM-5.1 has 12 tracked claims: 4 independently reproduced, 8 unverified.
Listed API pricing: $1.4 per million input tokens, $4.4 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.