# Qwen3.7 Max API prices

Qwen3.7 Max (qwen) — 1.1M context, 500k max output.
29 metered per-token offers from 32 provider(s), in USD per 1M tokens.

| Provider | Input $/1M | Output $/1M | Cache read $/1M | Context |
| --- | --- | --- | --- | --- |
| Merge Gateway | $0.825 | $2.4755 | $0.165 | 1.0M |
| Cloudflare AI Gateway | $1.25 | $3.75 | $0.25 | 1.0M |
| Kilo Gateway | $1.25 | $3.75 | $0.125 | 1.0M |
| DevPass (LLM Gateway) | $1.25 | $3.75 | $0.25 | 1.0M |
| LLM Gateway | $1.25 | $3.75 | $0.25 | 1.0M |
| NovitaAI | $1.25 | $3.75 | $0.25 | 1.0M |
| OrcaRouter | $1.25 | $3.75 | $0.25 | 1.0M |
| Pioneer | $1.25 | $3.75 | $0.25 | 991k |
| Together AI | $1.25 | $3.75 | $0.125 | 1.0M |
| OpenRouter | $1.475 | $4.425 | $0.295 | 1.0M |
| AIHubMix | $1.69 | $5.07 | $0.169 | 991k |
| Ofox | $1.71 | $5.14 | $0.17 | 1.1M |
| 302.AI | $1.8 | $5.3 | — | 1.0M |
| CrossModel | $1.88 | $5.63 | $0.375 | 1.0M |
| Abacus | $2.5 | $7.5 | — | 1.0M |
| Alibaba | $2.5 | $7.5 | $0.5 | 1.0M |
| Alibaba (China) | $2.5 | $7.5 | $0.5 | 1.0M |
| Deep Infra | $2.5 | $7.5 | $0.5 | 256k |
| EmpirioLabs AI | $2.5 | $7.5 | $2.5 | 1.0M |
| GMI Cloud | $2.5 | $7.5 | $0.25 | 1.0M |
| Charm Hyper | $2.5 | $7.5 | $0.5 | 1.0M |
| Impossibl | $2.5 | $7.5 | $0.5 | 1.0M |
| LLM Gateway | $2.5 | $7.5 | $0.5 | 1.0M |
| NanoGPT | $2.5 | $7.5 | $0.5 | 1.0M |
| Ofox | $2.5 | $7.5 | $0.5 | 1.0M |
| OpenCode Go | $2.5 | $7.5 | $0.5 | 1.0M |
| Requesty | $2.5 | $7.5 | $0.25 | 1.0M |
| ZenMux | $2.5 | $7.5 | $0.5 | 1.0M |
| Modelis | $3 | $9 | — | 1.0M |

## Summary

- Cheapest input: $0.825 per 1M tokens (Merge Gateway)
- Cheapest output: $2.4755 per 1M tokens (Merge Gateway)
- First-party: $7.5 per 1M output tokens (Alibaba)
- Free offers: Alibaba Token Plan, Alibaba Token Plan (China)
- Subscription plans (not per-token): Alibaba Coding Plan, Alibaba Coding Plan (China), Alibaba Token Plan, Alibaba Token Plan (China), ClinePass
- Released: 2026-05-21
- Inputs: text

HTML page: https://llmprice.gitlab.io/models/qwen3-7-max/
Full dataset: https://llmprice.gitlab.io/data/catalog.json
