Alibaba Cloud (Qwen)Qwen3.7-MaxVSMoonshot AI (Kimi)Kimi K3
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Qwen3.7-Max and Kimi K3 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)
60.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
N/Aexcellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+1.1%)
93.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.2x cheaper
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensFrequently Asked Questions about Qwen3.7-Max vs Kimi K3
Kimi K3 is cheaper than Qwen3.7-Max. Kimi K3 has a blended cost of $1.71/1M tokens, which is about 2.2x cheaper than Qwen3.7-Max at $3.75/1M tokens.
Related Matchups
Explore similar comparisons for Qwen3.7-Max and Kimi K3.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.