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GLM-4.6 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 43.5% higher average benchmark score. Mistral Small 3.1 24B Base offers 59.4K more tokens in context window than GLM-4.6. Mistral Small 3.1 24B Base is $2.20 cheaper per million tokens. Overall, GLM-4.6 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
6 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GLM-4.6
Zhipu AI
2025-09-30
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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 3.1 24B Base
Input:$0.10
Output:$0.30($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:81.0%(+43.5%)
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Mistral Small 3.1 24B Base
Average Score:37.5%
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 3.1 24B Base
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GLM-4.6
Avg Score:81.0%(+43.5%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1