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Claude 3.5 Haiku vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 15.9% higher average benchmark score. Claude 3.5 Haiku offers 72.3K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $3.53 cheaper per million tokens. Overall, DeepSeek-V3.1 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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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
2 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
DeepSeek-V3.1
DeepSeek
2025-01-10
Pricing Comparison
Cost per million tokens (USD)
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Claude 3.5 Haiku
Input:$0.80
Output:$4.00
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($3.53 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Claude 3.5 Haiku
Average Score:26.1%
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DeepSeek-V3.1
Average Score:41.9%(+15.9%)
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:26.1%
Providers:3
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DeepSeek-V3.1
Avg Score:41.9%(+15.9%)
Providers:2