Qwen3.7 Max vs Kimi K2.6
Qwen3.7 Max vs Kimi K2.6: which AI model is cheaper, has the larger context window and more capabilities? Side-by-side comparison updated daily.
Quick verdict
- Kimi K2.6 is 1.7× cheaper than Qwen3.7 Max for the same mix of input and output tokens.
- Qwen3.7 Max has the larger context window (1M), useful for long documents and big codebases.
- Qwen3.7 Max is the more recent release (May 21, 2026).
- Only Kimi K2.6 has openly published weights you can run yourself.
- Only Kimi K2.6 accepts images as input.
- Qwen3.7 Max scores higher on independent tests (overall index 153.7 vs 151.0).
- Choose Kimi K2.6 if cost matters most; choose Qwen3.7 Max if you need its specific strengths above. For the best results, test both on your own prompts.
| Qwen3.7 Max | Kimi K2.6 | |
|---|---|---|
| Company | Alibaba Qwen | Moonshot AI |
| Released | May 21, 2026 ● | Apr 20, 2026 |
| Overall index | 153.7 ● | 151.0 |
| SWE-bench Verified | 77.3% ● | 76.7% |
| GPQA Diamond | 90.9% ● | 90.8% |
| AIME math | 95.6% | 96.1% ● |
| FrontierMath | 64.6% ● | 57.2% |
| SimpleQA Verified | 55.8% ● | 34.9% |
| Input (per 1M tokens) | $1.48 | $0.65 ● |
| Output (per 1M tokens) | $4.43 | $3.41 ● |
| Cost for 1M input + 1M output tokens | $5.90 | $4.06 ● |
| Providers | 1 | 18 ● |
| Context | 1M ● | 256K |
| Max output | 128K | 236K ● |
| Inputs | Text | Text, Image ● |
| Outputs | Text | Text |
| Reasoning | ✓ | ✓ |
| Tool use | ✓ | ✓ |
| Structured output | ✓ | ✓ |
| Open weights | — | ✓ |