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Claude 3.7 Sonnet vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Claude 3.7 Sonnet leads with 5.0% higher average benchmark score. Claude 3.7 Sonnet is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
1 month newer
Kimi-k1.5
Moonshot AI
2025-01-20
Claude 3.7 Sonnet
Anthropic
2025-02-24
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Claude 3.7 Sonnet
Average Score:50.9%(+5.0%)
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Kimi-k1.5
Average Score:46.0%
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:50.9%(+5.0%)
Providers:4
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Kimi-k1.5
Avg Score:46.0%
Providers:0