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Grok-3 vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 27.7% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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 2025, 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.
4 months newer
Grok-3
xAI
2025-02-17
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-3
Average Score:25.2%
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Kimi K2 Base
Average Score:52.9%(+27.7%)
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Kimi K2 Base
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Grok-3
Avg Score:25.2%
Providers:1
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Kimi K2 Base
Avg Score:52.9%(+27.7%)
Providers:0