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Kimi K2 vs o1
Comprehensive side-by-side LLM comparison
o1 offers 35.8K more tokens in context window than Kimi K2. Kimi K2 is $71.90 cheaper per million tokens. o1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
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OpenAI
OpenAI o1, released by OpenAI in December 2024, is a reasoning-focused large language model that applies extended chain-of-thought processing before generating responses. It features a 200K token context window and native image understanding, demonstrating strong performance on STEM benchmarks requiring multi-step reasoning. o1 targets mathematics, science, and coding tasks where careful deliberation over the problem produces more accurate outputs than direct generation.
7 months newer
o1
OpenAI
2024-12-05
Kimi K2
Moonshot AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2
Input:$0.60
Output:$2.50($71.90 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o1
2023-10
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2
1 providers
Moonshot AI
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o1
1 providers
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Kimi K2
Avg Score:0.0%
Providers:1
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o1
Avg Score:0.0%
Providers:1