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Gemini 2.5 Pro vs Kimi K2 Thinking
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 744.0K more tokens in context window than Kimi K2 Thinking. Kimi K2 Thinking is $6.25 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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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.
5 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
Kimi K2 Thinking
Moonshot AI
2025-11-06
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Kimi K2 Thinking
Input:$1.00
Output:$4.00($6.25 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Google Cloud Vertex AI
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Kimi K2 Thinking
1 providers
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Gemini 2.5 Pro
Avg Score:0.0%
Providers:2
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1