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Kimi K2 Instruct vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 41.8% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI'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.
5 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
Kimi K2 Instruct
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 43 common benchmarks
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Kimi K2 Instruct
Average Score:58.9%(+41.8%)
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Kimi-k1.5
Average Score:17.1%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Instruct
1 providers
Novita
Throughput: 45 tok/s
Latency: 0.95ms
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Kimi-k1.5
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Kimi K2 Instruct
Avg Score:58.9%(+41.8%)
Providers:1
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Kimi-k1.5
Avg Score:17.1%
Providers:0