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Claude Sonnet 4.5 vs Codestral-22B
Comprehensive side-by-side LLM comparison
Claude Sonnet 4.5 leads with 13.8% higher average benchmark score. Claude Sonnet 4.5 supports multimodal inputs. Claude Sonnet 4.5 is available on 2 providers. Overall, Claude Sonnet 4.5 is the stronger choice for coding tasks.
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Anthropic
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 75.8% across 9 benchmarks. It excels particularly in MMMLU (89.1%), AIME 2025 (87.0%), TAU-bench Retail (86.2%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Codestral-22B
Mistral AI
2024-05-29
Claude Sonnet 4.5
Anthropic
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Claude Sonnet 4.5
Average Score:42.6%(+13.8%)
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Codestral-22B
Average Score:28.8%
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Knowledge Cutoff
Training data recency comparison
Claude Sonnet 4.5
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Sonnet 4.5
2 providers
Anthropic
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude Sonnet 4.5
Avg Score:42.6%(+13.8%)
Providers:2
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Codestral-22B
Avg Score:28.8%
Providers:0