Qwen3 235B A22B Instruct 2507
Open weightToolsQwen · Released July 2025 · Knowledge cutoff June 2025
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
It is part of Alibaba's Qwen family, a broad catalog where Max leads on capability, Plus balances cost, and Flash and the open-weight sizes cover high-volume work.
Facts and pricing
- Provider
- Qwen
- Context window
- 262K tokens
- Input price
- 0.99 credits / 1M tokens ($0.090 raw)
- Output price
- 6.0 credits / 1M tokens ($0.55 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
Try Qwen3 235B A22B now
Qwen3 235B A22B Instruct 2507 is a serving variant of Qwen3 235B A22B, so Zeplik offers the Qwen3 235B A22B row and routes your prompt there.
What Qwen3 235B A22B Instruct 2507 is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Long documents: the 262K-token window holds lengthy reports, contracts or papers whole
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a open weight model like Qwen3 235B A22B Instruct 2507:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
Qwen family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Qwen3.8 Flash | 1M | 1.7 | 5.2 | August 2026 |
| Qwen3.8 27B | 1M | 4.6 | 33.0 | August 2026 |
| Qwen3.8 2.4T A95B (batch) | 1.0M | 22.0 | 66.0 | August 2026 |
| Qwen3.8 2.4T A95B | 1M | 22.0 | 66.0 | August 2026 |
| Qwen3.7 Flash | 1M | 0.33 | 1.4 | July 2026 |
| Qwen3.7 Plus | 1M | 3.5 | 14.1 | June 2026 |
| Qwen3.7 Max | 1M | 16.2 | 48.7 | May 2026 |
| Qwen3.5 Plus 2026-04-20 | 1M | 3.3 | 19.8 | April 2026 |
| Qwen3.6 Flash | 1M | 2.1 | 12.4 | April 2026 |
| Qwen3.6 35B A3B | 262K | 1.1 | 9.9 | April 2026 |
Frequently asked questions
- What is Qwen3 235B A22B Instruct 2507?
- Qwen3 235B A22B Instruct 2507 is an AI model by Qwen. Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
- How much does Qwen3 235B A22B Instruct 2507 cost on Zeplik?
- Input tokens cost 0.99 credits per million and output tokens 6.0 credits per million (1 credit = $0.10; the raw provider rates are $0.090 and $0.55 per million). New accounts start with free credits.
- How long can a conversation with Qwen3 235B A22B Instruct 2507 be?
- Qwen3 235B A22B Instruct 2507 has a 262K-token context window (262,144 tokens), which covers the conversation plus any documents you attach.
- Does Qwen3 235B A22B Instruct 2507 support images and tools?
- Qwen3 235B A22B Instruct 2507 is text-only and supports tool calling.
Related models
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
More you can do with Qwen3 235B A22B Instruct 2507
- 465 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Qwen3 235B A22B Instruct 2507 or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.