Qwen3.7 Max vs Kimi K2.5
Alibaba's flagship Qwen3.7 model, built for agent-centric workloads.
MoonshotAI's native multimodal model with state-of-the-art visual coding.
No captured outputs for these models yet.
Frequently Asked Questions: Qwen3.7 Max vs Kimi K2.5▼
Which is better, Qwen3.7 Max or Kimi K2.5?
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Based on the Capability Index, Qwen3.7 Max scores higher (84.7 vs 80.3). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Qwen3.7 Max or Kimi K2.5?
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Kimi K2.5 has a lower blended cost. Qwen3.7 Max: $1.25 input / $3.75 output. Kimi K2.5: $0.38 input / $2.02 output.
Which has a larger context window, Qwen3.7 Max or Kimi K2.5?
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Qwen3.7 Max has a larger context window: Qwen3.7 Max supports 1M tokens vs Kimi K2.5 at 256K tokens.
Do both Qwen3.7 Max and Kimi K2.5 support vision?
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Kimi K2.5 supports vision/image input, but Qwen3.7 Max does not.
Which has better coding performance, Qwen3.7 Max or Kimi K2.5?
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Qwen3.7 Max scores higher on SWE-bench Verified: Qwen3.7 Max resolves 77% vs Kimi K2.5 at 74%.
What are the key differences between Qwen3.7 Max and Kimi K2.5?
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Key differences: Kimi K2.5 is significantly cheaper; only Kimi K2.5 supports vision input. Compare full specs on this page.
Which model should I choose for my use case?
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If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Qwen3.7 Max and Kimi K2.5 for free on idapt.app to see which performs better for your specific needs.