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GPT-4o vs Kimi K2 Thinking
Comprehensive side-by-side LLM comparison
Kimi K2 Thinking offers 119.8K more tokens in context window than GPT-4o. Kimi K2 Thinking is $7.50 cheaper per million tokens. GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
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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.
1 year newer
GPT-4o
OpenAI
2024-05-13
Kimi K2 Thinking
Moonshot AI
2025-11-06
Pricing Comparison
Cost per million tokens (USD)
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GPT-4o
Input:$2.50
Output:$10.00
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Kimi K2 Thinking
Input:$1.00
Output:$4.00($7.50 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4o
2024-04
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
1 providers
OpenAI
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Kimi K2 Thinking
1 providers
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GPT-4o
Avg Score:0.0%
Providers:1
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1