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GLM-4.6 vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 35.7% higher average benchmark score. GLM-4.6 offers 132.6K more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $2.39 cheaper per million tokens. GLM-4.6 supports multimodal inputs. 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 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
8 months newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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 24B Instruct
Input:$0.07
Output:$0.14($2.39 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%(+35.7%)
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Mistral Small 3 24B Instruct
Average Score:45.3%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 24B Instruct
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GLM-4.6
Avg Score:81.0%(+35.7%)
Providers:2
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Mistral Small 3 24B Instruct
Avg Score:45.3%
Providers:2