Qwen3.7 Max
| Maker | Qwen |
|---|---|
| Family | Qwen Max |
| Released | 2026-05-21 |
| Context | 1M |
| Max output | 131.1K |
|---|---|
| Open weights | Closed |
| Modalities | text → text |
| Input / 1M | $1.475 |
| Output / 1M | $4.425 |
|---|---|
| Review call | $0.0494 |
| Hosts | OpenRouter |
| Model id | qwen/qwen3.7-max |
CodePanel's benchmark has not run Qwen3.7 Max as a pull-request reviewer yet, so this page has no recall, false-alarm or measured-cost figures for it. The methodology explains how ranked models are scored.
No Qwen model is in the run yet. The ranked model closest to it in list price is GLM-5.3 (Workers AI) from Z.ai, which caught 61% [50%–72%] of the known bugs at rank 3 of 17, with a measured review cost of $0.0311. At list price, a typical review call (26.2K tokens in and 2.4K out) costs $0.0494 on Qwen3.7 Max and $0.0473 on GLM-5.3 (Workers AI), so this model's call is about the same as that one's.
A newer Qwen Max model is current: Qwen3.8 Max (OpenRouter).
| Host | Model id | Input / 1M | Output / 1M |
|---|---|---|---|
| OpenRouter | qwen/qwen3.7-max | $1.475 | $4.425 |
Source: models.dev's OpenRouter listing, Oct 23, 2026
| Version | Released | Input / 1M | Output / 1M | Context |
|---|---|---|---|---|
| Qwen3.8 Max (OpenRouter) | 2026-08-12 | $2.00 | $6.00 | 1M |
| Model | Maker | Input / 1M | Output / 1M | Review call | Context | Bugs caught |
|---|---|---|---|---|---|---|
| GLM-5.3 (Workers AI) | Z.ai | $1.40 | $4.40 | $0.0473 | 1M | 61% |
| Mistral Large 4 | Mistral | $1.36 | $4.18 | $0.0457 | 1M | – |
| DeepSeek V4 Pro | DeepSeek | $1.32 | $3.96 | $0.0442 | 1M | – |
| Muse Spark 1.2 | Meta | $1.25 | $4.25 | $0.043 | 1M | – |
Updated Oct 23, 2026