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Devstral-2-123B vs GLM-4.6
Comprehensive side-by-side LLM comparison
Devstral-2-123B offers 60.1K more tokens in context window than GLM-4.6. GLM-4.6 is $3.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT license.
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Zhipu AI
GLM-4.6, released by Zhipu AI in September 2025, is a large language model with approximately 357 billion parameters from the GLM-4 family, featuring an expanded 200K token context window. It supports strong mathematical reasoning, coding, and agentic orchestration tasks. GLM-4.6 targets enterprise-ready open-source deployments under an MIT license, with availability through Zhipu AI's Z.ai platform.
2 months newer
GLM-4.6
Zhipu AI
2025-09-30
Devstral-2-123B
Mistral AI
2025-12-09
Pricing Comparison
Cost per million tokens (USD)
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Devstral-2-123B
Input:$1.00
Output:$3.00
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GLM-4.6
Input:$0.20
Output:$0.20($3.60 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Devstral-2-123B
1 providers
OpenRouter
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GLM-4.6
1 providers
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Devstral-2-123B
Avg Score:0.0%
Providers:1
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GLM-4.6
Avg Score:0.0%
Providers:1