Alibaba (Qwen) · language model
Qwen3 30B A3B Instruct 2507: pricing, context and benchmarks
Qwen3 30B A3B Instruct 2507 is Alibaba (Qwen)'s model released on July 29, 2025. It costs $0.09 per million input tokens and $0.3 per million output tokens, with a 262.1K-token context window. No independent score has been published for it so far.
| Price | 26/30 | |
|---|---|---|
| Context | 9/15 | |
| Features | 12/15 |
What you need to know about Qwen3 30B A3B Instruct 2507
Alibaba (Qwen), based in China, put Qwen3 30B A3B Instruct 2507 online on July 29, 2025. It accepts text as input and produces text. Its context window reaches 262,144 tokens, larger than 58 % of the models in the registry, and it can write up to 235,929 tokens in one go.
It has been available for about 15 months, long enough for its prices and scores to have settled.
Qwen3 30B A3B Instruct 2507 pricing
On OpenRouter, Qwen3 30B A3B Instruct 2507 costs $0.09 per million input tokens and $0.3 per million output tokens. Counting three tokens read for every token written, its average price is $0.143 per million, more expensive than 15 % of paid models (5.3 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0003. At 1,000 tasks a day, budget $10 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Qwen3 30B A3B Instruct 2507. We therefore show no made-up performance rating: only price, context and features count towards its score.
Scores published by Epoch AI on the benchmarks the site tracks:
| Benchmark | What it measures | Score | Date |
|---|---|---|---|
| GPQA Diamond | PhD-level science questions | 55.6 % | Jul 29, 2025 |
| OTIS Mock AIME | maths competition problems | 62.2 % | Jul 29, 2025 |
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at June 2025.
Its weights are open and downloadable from Hugging Face (apache-2.0 licence): you can run it on your own machines without sending your data to a third party. With 30,532,122,624 billion parameters, it needs about 17,061,153,030 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 1,091,162 times on Hugging Face last month.
Other Alibaba (Qwen) models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Qwen3.8 Max Prime | Sep 23, 2026 | $6 | — |
| Qwen3.8 Omni Flash | Sep 21, 2026 | $0.23 | — |
| Qwen3.8 Max (0902) | Sep 3, 2026 | $3 | 155.1 |
| Qwen3.8 Flash | Aug 26, 2026 | $0.23 | — |
| Qwen3.8 27B | Aug 14, 2026 | $0.78 | 151.7 |
| Qwen3.8 2.4T A95B | Aug 12, 2026 | $3 | — |
| Qwen3.7 Flash | Jul 27, 2026 | $0.06 | 144.1 |
| Qwen3.7 Plus | Jun 3, 2026 | $0.56 | 147 |
Verdict
Computed score: 78/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 85 % of paid models.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
- Text only: reads neither images nor files.
Avoid if…
- you want to host it on a single consumer computer (≈ 17,061,153,030 GB needed at 4-bit).
Alternatives
- Hy3$0.15
- Seed 1.6 Flash$0.13
- Step 3.5 Flash$0.15
- Ministral 3 8B 2512$0.15
- GPT-5 Nano$0.14
- Seed-2.0-Mini$0.18
Comparisons and tools
Learn more
Frequently asked questions
How much does Qwen3 30B A3B Instruct 2507 cost?
$0.09 per million input tokens and $0.3 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0003.
How big is Qwen3 30B A3B Instruct 2507's context window?
262,144 tokens, roughly 197,000 words, with a maximum of 235,929 output tokens.
Can Qwen3 30B A3B Instruct 2507 run locally?
Yes, its weights are published under the apache-2.0 licence. Expect about 17,061,153,030 GB of memory at 4-bit.
Is Qwen3 30B A3B Instruct 2507 suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to Qwen3 30B A3B Instruct 2507?
The closest models on price and performance are Hy3, Seed 1.6 Flash, and Step 3.5 Flash.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score