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Grok-2 vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 16.9% higher average benchmark score. Grok-2 supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). 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.
11 months newer
Grok-2
xAI
2024-08-13
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Grok-2
Average Score:36.0%
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Kimi K2 Base
Average Score:52.9%(+16.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
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Kimi K2 Base
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Grok-2
Avg Score:36.0%
Providers:1
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Kimi K2 Base
Avg Score:52.9%(+16.9%)
Providers:0