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Gemini 2.5 Flash vs Kimi K2 Thinking
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash offers 744.0K more tokens in context window than Kimi K2 Thinking. Gemini 2.5 Flash is $4.25 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
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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.
4 months newer
Gemini 2.5 Flash
Google DeepMind
2025-06-17
Kimi K2 Thinking
Moonshot AI
2025-11-06
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.15
Output:$0.60($4.25 cheaper)
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Kimi K2 Thinking
Input:$1.00
Output:$4.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Flash
2 providers
Google Cloud Vertex AI
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Kimi K2 Thinking
1 providers
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Gemini 2.5 Flash
Avg Score:0.0%
Providers:2
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1