Comprehensive side-by-side LLM comparison
Kimi K2 leads with 11.9% higher average benchmark score. Qwen3-235B-A22B offers 6.1K more tokens in context window than Kimi K2. Qwen3-235B-A22B is $2.10 cheaper per million tokens. Overall, Kimi K2 is the stronger choice for coding tasks.
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.
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
2 months newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Kimi K2
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Kimi K2
Qwen3-235B-A22B
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Kimi K2
Qwen3-235B-A22B
Available providers and their performance metrics
Kimi K2
Moonshot AI
Qwen3-235B-A22B
OpenRouter
Kimi K2
Qwen3-235B-A22B
Kimi K2
Qwen3-235B-A22B