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GLM-4.6 vs Mistral Small
Comprehensive side-by-side LLM comparison
GLM-4.6 offers 131.1K more tokens in context window than Mistral Small. Mistral Small is $1.80 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
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Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Mistral Small
Mistral AI
2024-09-17
GLM-4.6
Zhipu AI
2025-09-30
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00
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Mistral Small
Input:$0.20
Output:$0.60($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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GLM-4.6
Average Score:61.2%(+61.2%)
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Mistral Small
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Mistral Small
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GLM-4.6
Avg Score:61.2%(+61.2%)
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1