Qwen: Qwen3 30B A3B Instruct 2507
Analysis Summary
Qwen3 30B A3B Instruct 2507 is a mid-tier MoE model from Qwen, released in late July 2025. With an intelligence index of 9.1 and GPQA of 0.659, it sits in the lower-mid range of the benchmarked field, but its pricing at $0.048 input and $0.193 output per million tokens makes it one of the more cost-efficient options with actual benchmark data.
The model supports tool use and function calling, and its livecodebench score of 0.515 suggests reasonable coding capability for its size. Instruction following (ifbench 0.33) and long-context reasoning (lcr 0.23) are weaker areas, limiting its suitability for complex multi-step or document-heavy workflows.
Best suited for cost-sensitive applications where moderate reasoning and basic tool use are sufficient, such as lightweight automation, content drafting, or API-integrated pipelines where budget is a primary constraint.
Assessed July 10, 2026
Editorial notes
Qwen3 30B A3B Instruct 2507 is a compact MoE model with strong GPQA and MMLU-Pro scores, tool use, and very competitive pricing at under $0.05 input per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 30B A3B Instruct 2507 is a compact MoE model with strong GPQA and MMLU-Pro scores, tool use, and very competitive pricing at under $0.05 input per million tokens.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
9.1 Intelligence IndexĀ·8.1 Agentic IndexĀ·66.3 Math Index
How Qwen: Qwen3 30B A3B Instruct 2507 compares
Qwen: Qwen3 30B A3B Instruct 2507 ranks #253 of 395 AI models we track for overall intelligence, #266 of 302 for agentic tasks. Its 262K-token context window is larger than 79% of the models we list. At $0.05 per million input tokens it is cheaper than 74% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.05 | $0.000048 |
| Output | $0.19 | $0.000193 |
What would Qwen: Qwen3 30B A3B Instruct 2507 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 620 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 30B A3B Instruct 2507 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 30B A3B Instruct 2507
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..
Frequently asked questions about Qwen: Qwen3 30B A3B Instruct 2507
How much does Qwen: Qwen3 30B A3B Instruct 2507 cost?
Qwen: Qwen3 30B A3B Instruct 2507 costs $0.05 per million input tokens and $0.19 per million output tokens.
What is the context window of Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3 30B A3B Instruct 2507 do?
Qwen: Qwen3 30B A3B Instruct 2507 supports tool use and function calling.
Who created Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 is developed by Qwen and was released on July 29, 2025.
