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GPT-4.1 mini vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 12.0% higher average benchmark score. GPT-4.1 mini offers 556.1K more tokens in context window than Kimi K2 0905. GPT-4.1 mini is $1.10 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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.
4 months newer
GPT-4.1 mini
OpenAI
2025-04-14
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60($1.10 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 mini
Average Score:67.4%
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Kimi K2 0905
Average Score:79.3%(+12.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:67.4%
Providers:2
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Kimi K2 0905
Avg Score:79.3%(+12.0%)
Providers:2