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GPT-4o mini vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 17.5% higher average benchmark score. Kimi K2 0905 offers 379.9K more tokens in context window than GPT-4o mini. GPT-4o mini is $2.35 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
1 year newer
GPT-4o mini
OpenAI
2024-07-18
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60($2.35 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4o mini
Average Score:69.9%
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Kimi K2 0905
Average Score:87.4%(+17.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Kimi K2 0905
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GPT-4o mini
Avg Score:69.9%
Providers:1
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Kimi K2 0905
Avg Score:87.4%(+17.5%)
Providers:2