Comprehensive side-by-side LLM comparison
Qwen3-Max leads with 7.7% higher average benchmark score. Qwen3-Max offers 6.1K more tokens in context window than Kimi K2. Qwen3-Max is $1.10 cheaper per million tokens. Overall, Qwen3-Max 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-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
1 month newer
Kimi K2
Moonshot AI
2025-07-11
Qwen3-Max
Alibaba / Qwen
2025-09-05
Cost per million tokens (USD)
Kimi K2
Qwen3-Max
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2
Qwen3-Max
Performance comparison across key benchmark categories
Kimi K2
Qwen3-Max
Available providers and their performance metrics
Kimi K2
Moonshot AI
Qwen3-Max
OpenRouter
Kimi K2
Qwen3-Max
Kimi K2
Qwen3-Max