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Gemini 1.5 Pro vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 8.1% higher average benchmark score. Gemini 1.5 Pro offers 1.6M more tokens in context window than Kimi K2 0905. Kimi K2 0905 is $9.40 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
1 year newer
Gemini 1.5 Pro
2024-05-01
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00
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Kimi K2 0905
Input:$0.60
Output:$2.50($9.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 1.5 Pro
Average Score:78.3%
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Kimi K2 0905
Average Score:86.4%(+8.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Kimi K2 0905
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Gemini 1.5 Pro
Avg Score:78.3%
Providers:1
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Kimi K2 0905
Avg Score:86.4%(+8.1%)
Providers:2