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Devstral-2-123B vs Kimi K2.5
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Devstral-2-123B is $3.50 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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Moonshot AI
Kimi K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
23 days newer
Devstral-2-123B
Mistral AI
2025-12-09
Kimi K2.5
Moonshot AI
2026-01
Pricing Comparison
Cost per million tokens (USD)
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Devstral-2-123B
Input:$1.00
Output:$3.00($3.50 cheaper)
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Kimi K2.5
Input:$1.50
Output:$6.00
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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Kimi K2.5
Average Score:37.9%(+0.4%)
Performance comparison across key benchmark categories
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Devstral-2-123B
Coding37.5%
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Kimi K2.5
Coding37.9%(+0.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Devstral-2-123B
1 providers
OpenRouter
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Kimi K2.5
1 providers
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Devstral-2-123B
Avg Score:37.5%
Providers:1
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Kimi K2.5
Avg Score:37.9%(+0.4%)
Providers:1