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Claude 3.5 Haiku vs Codestral-22B
Comprehensive side-by-side LLM comparison
Claude 3.5 Haiku leads with 5.7% higher average benchmark score. Claude 3.5 Haiku is available on 3 providers. Overall, Claude 3.5 Haiku is the stronger choice for coding tasks.
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Anthropic
Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, 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.
4 months newer
Codestral-22B
Mistral AI
2024-05-29
Claude 3.5 Haiku
Anthropic
2024-10-22
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Claude 3.5 Haiku
Average Score:36.5%(+5.7%)
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Codestral-22B
Average Score:30.7%
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3.5 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3.5 Haiku
Avg Score:36.5%(+5.7%)
Providers:3
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Codestral-22B
Avg Score:30.7%
Providers:0