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Command R+ vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 20.6% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Command R+ is available on 2 providers. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
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Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere'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.
4 months newer
Command R+
Cohere
2024-08-30
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Command R+
Average Score:32.0%
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Kimi-k1.5
Average Score:52.5%(+20.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
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Command R+
Avg Score:32.0%
Providers:2
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Kimi-k1.5
Avg Score:52.5%(+20.6%)
Providers:0