Qwen3 30B A3B 2507
Qwen3 30B A3B 2507 is a language model from Qwen released on Jul 30, 2025. It reads text and writes text, with a 262K token context window and up to 16K tokens per reply.
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It costs $0 per million input tokens and $0 per million output tokens.
It supports tool calling, and its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- 262K
- Max output
- 16K
- Released
- Jul 30, 2025
- Knowledge cutoff
- Apr 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Qwen3 30B A3B 2507 pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What Qwen3 30B A3B 2507 costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Qwen3 30B A3B 2507 through an OpenAI compatible API.
- Tools
tools - Temperature
temperature
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Qwen3 30B A3B 2507 questions
How much does the Qwen3 30B A3B 2507 API cost?
$0 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Qwen3 30B A3B 2507?
262,144 tokens of input, and it can write up to 16,384 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does Qwen3 30B A3B 2507 support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is Qwen3 30B A3B 2507 open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Qwen3 30B A3B 2507 released?
Jul 30, 2025, with training data up to Apr 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Qwen3 30B A3B 2507?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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