# Qwen3 235B-A22B Instruct 2507 Usage, Cost & Rank | OpenCode Data

> Qwen3 235B-A22B Instruct 2507 costs $0.07 per 1M input tokens and $0.46 per 1M output tokens.

Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use

- Page: https://opencode.ai/data/alibaba/qwen3-235b-a22b-instruct-2507
- JSON: https://opencode.ai/data/alibaba/qwen3-235b-a22b-instruct-2507.json
- Model ID: alibaba/qwen3-235b-a22b-instruct-2507
- Lab: Alibaba

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 262K |
| Max output | 16K |
| Knowledge cutoff | - |
| Release date | 2025-07-21 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | No |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.07 | $0.46 | $0.02 | - |

## 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.