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Devstral-2-123B vs Gemini 2.5 Pro
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 744.0K more tokens in context window than Devstral-2-123B. Devstral-2-123B is $7.25 cheaper per million tokens. Gemini 2.5 Pro 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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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
6 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
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($7.25 cheaper)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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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Gemini 2.5 Pro
2 providers
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Devstral-2-123B
Avg Score:0.0%
Providers:1
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Gemini 2.5 Pro
Avg Score:0.0%
Providers:2