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Claude Opus 4 vs Codestral-22B
Comprehensive side-by-side LLM comparison
Claude Opus 4 leads with 7.5% higher average benchmark score. Claude Opus 4 supports multimodal inputs. Claude Opus 4 is available on 4 providers. Overall, Claude Opus 4 is the stronger choice for coding tasks.
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Anthropic
Claude Opus 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 64.6% across 9 benchmarks. It excels particularly in MMMLU (88.8%), TAU-bench Retail (81.4%), GPQA (79.6%). 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.
11 months newer
Codestral-22B
Mistral AI
2024-05-29
Claude Opus 4
Anthropic
2025-05-22
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Claude Opus 4
Average Score:36.4%(+7.5%)
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Codestral-22B
Average Score:28.8%
Provider Availability & Performance
Available providers and their performance metrics
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Claude Opus 4
4 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 120 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 Opus 4
Avg Score:36.4%(+7.5%)
Providers:4
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Codestral-22B
Avg Score:28.8%
Providers:0