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Gemini 2.5 Pro vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 15.0% higher average benchmark score. Gemini 2.5 Pro offers 852.0K more tokens in context window than Kimi K2 Instruct. Kimi K2 Instruct is $8.38 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 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
1 month newer
Gemini 2.5 Pro
2025-05-20
Kimi K2 Instruct
Moonshot AI
2025-07-11
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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 Instruct
Input:$0.57
Output:$2.30($8.38 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemini 2.5 Pro
Average Score:66.6%(+15.0%)
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Kimi K2 Instruct
Average Score:51.6%
Performance comparison across key benchmark categories
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Gemini 2.5 Pro
Coding63.2%
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Kimi K2 Instruct
Coding71.6%(+8.4%)
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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:66.6%(+15.0%)
Providers:2
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Kimi K2 Instruct
Avg Score:51.6%
Providers:1