Qwen3 30B A3B Instruct 2507
qwen/
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
$0.11 in · $0.33 out per 1M tokens262k contextJul 29, 2025
A typical message: about 500 tokens you send and 500 it writes.
Spec sheet
Published facts from the catalog, billed prices and what we measured here. Anything not measured says so.
Price, billed here
- Input, per 1M tokens
- $0.11provider $0.10
- Output, per 1M tokens
- $0.33provider $0.30
- Cached input, per 1M
- $0.11provider $0.10
- Margin
- +10%
Context and formats
- Context window
- 262,144 tokens
- Longest answer
- 235,929 tokens
- Reads
- text
- Makes
- text
- First listed
- 2025-07-29
Measured here, last 7 days
- First token, median
- not measured
- Answered without error
- not measured
Tools and JSON
- Tool calling
- declaredthe provider's claim, not yet measured here
- JSON output
- declaredthe provider's claim, not yet measured here
Price and latency history as JSON: GET /.
About
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
In Qwen's words.
Try it here
Measured here
Call it
Use one OpenAI compatible endpoint, this model's id and an am_live_ key from the dashboard. You can also try it in chat first with no key.
curl https://useantimatter.com/v1/chat/completions \
-H "Authorization: Bearer $ANTIMATTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen3-30b-a3b-instruct-2507", "messages": [{"role": "user", "content": "Hello"}]}'Everything else is in the docs.
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<a href="https://useantimatter.com/planet/qwen/qwen3-30b-a3b-instruct-2507"><img src="https://useantimatter.com/api/badge/price?id=qwen%2Fqwen3-30b-a3b-instruct-2507" alt="Qwen3 30B A3B Instruct 2507 price on Antimatter" height="28"></a>More from Qwen
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