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GPT-4.1 mini vs Kimi K2
Comprehensive side-by-side LLM comparison
Kimi K2 leads with 11.3% higher average benchmark score. GPT-4.1 mini offers 768.6K more tokens in context window than Kimi K2. GPT-4.1 mini is $1.10 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, Kimi K2 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
2 months newer
GPT-4.1 mini
OpenAI
2025-04-14
Kimi K2
Moonshot AI
2025-07-11
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
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 mini
Average Score:53.0%
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Kimi K2
Average Score:64.3%(+11.3%)
Performance comparison across key benchmark categories
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GPT-4.1 mini
Agents53.0%
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Kimi K2
Agents64.3%(+11.3%)
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1 mini
1 providers
OpenAI
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Kimi K2
1 providers
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GPT-4.1 mini
Avg Score:53.0%
Providers:1
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Kimi K2
Avg Score:64.3%(+11.3%)
Providers:1