Model Comparison
Kimi K2.7 Code vs Qwen3.7 MaxWhich is better in 2026?
Qwen3.7 Max shows notably better performance in the majority of benchmarks. Kimi K2.7 Code is 1.3x cheaper per token.
Verdict: Kimi K2.7 Code vs Qwen3.7 Max — which is better?
Kimi K2.7 Code (by Moonshot AI) and Qwen3.7 Max (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Kimi K2.7 Code outperforms in 1 benchmarks (MCP-Mark), while Qwen3.7 Max is better at 2 benchmarks (LiveBench, MCP Atlas). Qwen3.7 Max shows notably better performance in the majority of benchmarks.
On price, Kimi K2.7 Code is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2.7 Code if…
- cost matters — it's about 1.3x cheaper per token
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.7 Max if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.7 Code outperforms in 1 benchmarks (MCP-Mark), while Qwen3.7 Max is better at 2 benchmarks (LiveBench, MCP Atlas).
Qwen3.7 Max shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 1.7x cheaper than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 1.1x cheaper than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than Kimi K2.7 Code.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Kimi K2.7 Code can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Kimi K2.7 Code supports multimodal inputs, whereas Qwen3.7 Max does not.
Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.7 Code
Qwen3.7 Max
License
Usage and distribution terms
Kimi K2.7 Code is licensed under Modified MIT License, while Qwen3.7 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.7 Code was released on 2026-06-12, while Qwen3.7 Max was released on 2026-05-19.
Kimi K2.7 Code is 1 month newer than Qwen3.7 Max.
Jun 12, 2026
1 months ago
3w newerMay 19, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Qwen3.7 Max is available from Novita, Together.
Kimi K2.7 Code
Qwen3.7 Max
Outputs Comparison
Key Takeaways
Kimi K2.7 Code
View detailsMoonshot AI
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.7 Code and Qwen3.7 Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.7 Code vs Qwen3.7 Max.