+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.5 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 42.8% higher average benchmark score. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
+
+
+
+
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
+
+
+
+
Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
1 month newer
Magistral Small 2506
Mistral AI
2025-06-10
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
+
+
+
+
GLM-4.5
Average Score:59.7%(+42.8%)
+
+
+
+
Magistral Small 2506
Average Score:16.9%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Magistral Small 2506
+
+
+
+
GLM-4.5
Avg Score:59.7%(+42.8%)
Providers:3
+
+
+
+
Magistral Small 2506
Avg Score:16.9%
Providers:0