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Devstral-2-123B vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 6.5% higher average benchmark score. Overall, GPT-5 Codex is the stronger choice for coding tasks.
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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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OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
4 months newer
GPT-5 Codex
OpenAI
2025-08
Devstral-2-123B
Mistral AI
2025-12-09
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Devstral-2-123B
Average Score:37.5%
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GPT-5 Codex
Average Score:44.0%(+6.5%)
Performance comparison across key benchmark categories
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Devstral-2-123B
Coding37.5%
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GPT-5 Codex
Coding44.0%(+6.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Devstral-2-123B
1 providers
OpenRouter
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GPT-5 Codex
0 providers
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Devstral-2-123B
Avg Score:37.5%
Providers:1
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GPT-5 Codex
Avg Score:44.0%(+6.5%)
Providers:0