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Claude 3.7 Sonnet vs Codestral-22B
Comprehensive side-by-side LLM comparison
Claude 3.7 Sonnet leads with 19.7% higher average benchmark score. Claude 3.7 Sonnet supports multimodal inputs. Claude 3.7 Sonnet is available on 4 providers. Overall, Claude 3.7 Sonnet is the stronger choice for coding tasks.
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Anthropic
Claude 3.7 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 74.1% across 11 benchmarks. It excels particularly in MATH-500 (96.2%), IFEval (93.2%), MMMLU (86.1%). It supports a 328K token context window for handling large documents. The model is available through 4 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.
9 months newer
Codestral-22B
Mistral AI
2024-05-29
Claude 3.7 Sonnet
Anthropic
2025-02-24
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Claude 3.7 Sonnet
Average Score:45.3%(+19.7%)
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Codestral-22B
Average Score:25.6%
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3.7 Sonnet
4 providers
Anthropic
Throughput: 42 tok/s
Latency: 0.4ms
Bedrock
Throughput: 101 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3.7 Sonnet
Avg Score:45.3%(+19.7%)
Providers:4
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Codestral-22B
Avg Score:25.6%
Providers:0