Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 44.8% higher average benchmark score. Kimi K2 0905 offers 376.8K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $2.15 cheaper per million tokens. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Kimi K2 0905
Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 29 common benchmarks
Kimi K2 0905
Qwen3-235B-A22B-Instruct-2507
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
Qwen3-235B-A22B-Instruct-2507
Kimi K2 0905
Qwen3-235B-A22B-Instruct-2507
Kimi K2 0905
Qwen3-235B-A22B-Instruct-2507
Novita