Comprehensive side-by-side LLM comparison
GLM-4.7 leads with 3.8% higher average benchmark score. Devstral-2-123B offers 60.1K more tokens in context window than GLM-4.7. GLM-4.7 is $3.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
13 days newer

Devstral-2-123B
Mistral AI
2025-12-09
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
Devstral-2-123B
GLM-4.7
Context window and performance specifications
Average performance across 1 common benchmarks
Devstral-2-123B
GLM-4.7
Performance comparison across key benchmark categories
Devstral-2-123B
GLM-4.7
Available providers and their performance metrics
Devstral-2-123B
OpenRouter
GLM-4.7
Devstral-2-123B
GLM-4.7
Devstral-2-123B
GLM-4.7
Zhipu AI