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Gemini 2.5 Pro vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 13.6% higher average benchmark score. Gemini 2.5 Pro offers 589.8K more tokens in context window than Kimi K2 0905. Kimi K2 0905 is $8.15 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
3 months newer
Gemini 2.5 Pro
2025-05-20
Kimi K2 0905
Moonshot AI
2025-09-05
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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 0905
Input:$0.60
Output:$2.50($8.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Pro
Average Score:87.5%(+13.6%)
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Kimi K2 0905
Average Score:73.9%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:87.5%(+13.6%)
Providers:2
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Kimi K2 0905
Avg Score:73.9%
Providers:2