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GPT-OSS-20B vs Kimi K2
Comprehensive side-by-side LLM comparison
Kimi K2 offers 132.1K more tokens in context window than GPT-OSS-20B. Kimi K2 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
25 days newer
Kimi K2
Moonshot AI
2025-07-11
GPT-OSS-20B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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Kimi K2
Input:$0.60
Output:$2.50($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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Kimi K2
1 providers
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GPT-OSS-20B
Avg Score:0.0%
Providers:1
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Kimi K2
Avg Score:0.0%
Providers:1