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Grok-3 Mini vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 34.3% higher average benchmark score. Grok-3 Mini supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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 Mini
xAI
2025-02-17
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Grok-3 Mini
Average Score:21.9%
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Kimi K2 Base
Average Score:56.2%(+34.3%)
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Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
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 Mini
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Kimi K2 Base
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Grok-3 Mini
Avg Score:21.9%
Providers:1
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Kimi K2 Base
Avg Score:56.2%(+34.3%)
Providers:0