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Gemini 1.0 Pro vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 46.6% higher average benchmark score. Kimi K2 Instruct offers 221.2K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $0.87 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
1 year newer
Gemini 1.0 Pro
2024-02-15
Kimi K2 Instruct
Moonshot AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($0.87 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 45 common benchmarks
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Gemini 1.0 Pro
Average Score:9.7%
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Kimi K2 Instruct
Average Score:56.3%(+46.6%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Kimi K2 Instruct
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Gemini 1.0 Pro
Avg Score:9.7%
Providers:1
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Kimi K2 Instruct
Avg Score:56.3%(+46.6%)
Providers:1