Qwen3 235B A22B Thinking 2507
Open weightToolsQwen · Released July 2025 · Knowledge cutoff June 2025
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
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
- 1.6 credits / 1M tokens ($0.15 raw)
- Output price
- 16.4 credits / 1M tokens ($1.50 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 Thinking 2507 now
What Qwen3 235B A22B Thinking 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 Thinking 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 |
|---|---|---|---|---|
| Qwen3.7 Plus | 1M | 3.5 | 14.1 | June 2026 |
| Qwen3.7 Max | 1M | 13.8 | 41.3 | 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 | 1.5 | 11.0 | April 2026 |
| Qwen3.6 Max Preview | 262K | 11.4 | 68.6 | April 2026 |
| Qwen3.6 27B | 262K | 3.1 | 26.4 | April 2026 |
| Qwen3.6 Plus | 1M | 3.6 | 21.4 | April 2026 |
| Qwen3.5-9B | 262K | 1.1 | 1.7 | March 2026 |
| Qwen3.5-35B-A3B | 262K | 1.5 | 11.0 | February 2026 |
Frequently asked questions
- What is Qwen3 235B A22B Thinking 2507?
- Qwen3 235B A22B Thinking 2507 is an AI model by Qwen. Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
- How much does Qwen3 235B A22B Thinking 2507 cost on Zeplik?
- Input tokens cost 1.6 credits per million and output tokens 16.4 credits per million (1 credit = $0.10; the raw provider rates are $0.15 and $1.50 per million). New accounts start with free credits.
- How long can a conversation with Qwen3 235B A22B Thinking 2507 be?
- Qwen3 235B A22B Thinking 2507 has a 262K-token context window (262,144 tokens), which covers the conversation plus any documents you attach.
- Does Qwen3 235B A22B Thinking 2507 support images and tools?
- Qwen3 235B A22B Thinking 2507 is text-only and supports tool calling.
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Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...