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Devstral-2-123B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 739.9K more tokens in context window than Devstral-2-123B. Llama 4 Maverick is $3.64 cheaper per million tokens. Llama 4 Maverick 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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Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
8 months newer
Llama 4 Maverick
Meta AI
2025-04-05
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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Llama 4 Maverick
Input:$0.18
Output:$0.18($3.64 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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Llama 4 Maverick
1 providers
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Devstral-2-123B
Avg Score:0.0%
Providers:1
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Llama 4 Maverick
Avg Score:0.0%
Providers:1