Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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Z.ai: glm-5.3

21 benchmarks
CompanyZ.ai 北京智谱华章科技有限公司
Country of originChina

Leaderboard position

#31
Overall rank (of 1122 models)
2729
Elo rating
21
Benchmarks
Top 2.8%
Percentile
In Z.ai (of 18 models)

Benchmark highlights

Nearest competitor from another company

The model from another company with the most similar benchmark scores.

appeared as nearest in 3 of 21 benchmarks

Benchmarks

Predicted scores

Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.

Benchmark Predicted Confidence Based on
SWE-bench Pro ~69.52 66% Ornith: ornith-1.5-397b, DeepSeek: deepseek-v4-pro-0813, Meta: muse-spark-1.1
GPQA Diamond ~95.76 65% Ornith: ornith-1.5-397b, DeepSeek: deepseek-v4-pro-0813, DeepSeek: deepseek-v4.1-flash
Artificial Analysis Intelligence Index v4.1 (Maximum Reasoning) ~50.52 65% OpenAI: gpt-5.6-terra, OpenAI: gpt-5.6-luna, Meta: muse-spark-1.1
Humanity's Last Exam (no tools) ~44.78 64% Ornith: ornith-1.5-397b, DeepSeek: deepseek-v4-pro-0813, DeepSeek: deepseek-v4.1-flash
Artificial Analysis Intelligence Index v4.1.1 (Maximum Reasoning) ~55.9 64% Google: gemini-3.8-flash, OpenAI: gpt-5.6-terra, SpaceXAI: grok-4.6
AIME 2025 ~100 60% OpenBMB: minicpm5-2b
IFEval ~96.75 60% OpenBMB: minicpm5-2b
SciCode ~56.03 60% Meta: muse-spark-open-816b-a42b, nanbeige: nanbeige4.3-33b, Ornith: ornith-1.5-122b
AA-LCR ~77.76 60% Mistral AI: Mistral Large 4 (Le Chonk), nanbeige: nanbeige4.3-33b, Moonshot AI: kimi-k3
GSM8K ~99.6 60% Xiaomi: MiMo-V2.5 Pro
MATH ~97.9 60% Xiaomi: MiMo-V2.5 Pro
BBH ~88.4 60% Xiaomi: MiMo-V2.5 Pro
ARC-Challenge ~97.3 60% Xiaomi: MiMo-V2.5 Pro
HellaSwag ~95.4 60% Xiaomi: MiMo-V2.5 Pro
BrowseComp ~87.44 60% Ornith: ornith-1.5-397b, Anthropic: claude-opus-5, Ornith: ornith-1.5-122b
SuperGPQA ~73.75 60% OpenBMB: minicpm5-2b
WinoGrande ~92 60% Xiaomi: MiMo-V2.5 Pro
SWE-bench Verified ~91.86 59% Ornith: ornith-1.5-397b, DeepSeek: deepseek-v4-pro-0813, Ornith: ornith-1.5-122b
MATH-500 ~99.2 57% Ornith: ornith-1.5-9b, OpenBMB: minicpm5-2b
Claw-Eval ~76.84 57% Ornith: ornith-1.5-397b, nanbeige: nanbeige4.3-33b, Ornith: ornith-1.5-122b
MMLU-Pro ~90.53 56% DeepSeek: deepseek-v4-pro-0813, NVIDIA Corporation: nvidia-nemotron-3-ultra, Xiaomi: MiMo-V2.5 Pro
IFBench ~79.46 56% Anthropic: Claude Fable 5, Qwen: qwen3.8-flash-next, Anthropic: Claude Opus 4.8
MCP-Atlas ~85.87 56% Ornith: ornith-1.5-397b, DeepSeek: deepseek-v4-pro-0813, Meta: muse-spark-1.1
MMMU-Pro ~85.38 56% Mistral AI: Mistral Large 4 (Le Chonk), Moonshot AI: kimi-k3, Anthropic: Claude Fable 5
MMLU-Redux ~95.6 56% Xiaomi: MiMo-V2.5 Pro, OpenBMB: minicpm5-2b