Comprehensive side-by-side LLM comparison
Kimi K2.5 offers 132.1K more tokens in context window than GPT-OSS-20B. Kimi K2.5 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
Moonshot AI
Kimi K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
4 months newer

GPT-OSS-20B
OpenAI
2025-08-05
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
GPT-OSS-20B
Kimi K2.5
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-20B
Hugging Face
Kimi K2.5
GPT-OSS-20B
Kimi K2.5
GPT-OSS-20B
Kimi K2.5
Moonshot AI