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GPT-5 Mini vs Kimi K2 Thinking
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 168.6K more tokens in context window than Kimi K2 Thinking. Kimi K2 Thinking is $20.00 cheaper per million tokens. GPT-5 Mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
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Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
3 months newer
GPT-5 Mini
OpenAI
2025-08
Kimi K2 Thinking
Moonshot AI
2025-11-06
Pricing Comparison
Cost per million tokens (USD)
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GPT-5 Mini
Input:$5.00
Output:$20.00
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Kimi K2 Thinking
Input:$1.00
Output:$4.00($20.00 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Mini
1 providers
OpenAI
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Kimi K2 Thinking
1 providers
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GPT-5 Mini
Avg Score:0.0%
Providers:1
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1