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Devstral-2-123B vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini offers 768.6K more tokens in context window than Devstral-2-123B. GPT-4.1 mini is $2.00 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. 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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OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
7 months newer
GPT-4.1 mini
OpenAI
2025-04-14
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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GPT-4.1 mini
Input:$0.40
Output:$1.60($2.00 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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GPT-4.1 mini
1 providers
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Devstral-2-123B
Avg Score:0.0%
Providers:1
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GPT-4.1 mini
Avg Score:0.0%
Providers:1