# Qwen3.7 Max vs GPT-5 Nano - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-7-max/openai/gpt-5-nano
- Updated: 2026-10-02T09:36:21.000Z

|  | Qwen3.7 Max | GPT-5 Nano |
| --- | --- | --- |
| Lab | Alibaba | OpenAI |
| Context window | 1M | 400K |
| Max output | 66K | 128K |
| Input modalities | text | text, image |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | No |
| Release date | 2026-05-21 | 2025-08-07 |
| Input price per 1M tokens | $2.50 | $0.05 |
| Output price per 1M tokens | $7.50 | $0.40 |
| Cached input price per 1M tokens | $0.50 | $0.0050 |
| OpenCode tokens: past 2 months | 89B | 7.6B |
| Share of all tokens | 0.0% | 0% |
| Rank by tokens last week | #41 | #43 |
| Unique users | 82K | 16K |
| Weekly retention | 45.4% | - |

Model pages: [Qwen3.7 Max](https://opencode.ai/data/alibaba/qwen3-7-max.md), [GPT-5 Nano](https://opencode.ai/data/openai/gpt-5-nano.md)

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.