Analysis Summary
Qwen3 30B A3B is a cost-focused Qwen model with a 131K context window and support for tool use and function calling. Its pricing is low for both input and output, making it attractive for applications that need frequent structured interactions. The available intelligence measurement is modest, so it should not be confused with a high-end reasoning model.
It fits SEO briefs, content classification, information extraction, support triage, and simple tool-driven workflows where throughput matters more than nuanced judgement. The long context can help with document-grounded tasks, but complex strategy, difficult coding, and unsupervised client-facing generation should remain with a stronger model or review layer.
Adopt it as a volume and automation tier, particularly where low token cost and API actions are central requirements.
Assessed August 9, 2026
Editorial notes
Qwen3 30B A3B combines a 131K context window, tool use, and function calling with very low pricing. Its measured reasoning profile is limited, so it fits volume automation and structured tasks better than demanding client work.
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DFO Verdict
Qwen3 30B A3B combines a 131K context window, tool use, and function calling with very low pricing. Its measured reasoning profile is limited, so it fits volume automation and structured tasks better than demanding client work.
How Qwen: Qwen3 30B A3B compares
Qwen: Qwen3 30B A3B ranks #290 of 432 AI models we track for overall intelligence. Its 131K-token context window is larger than 49% of the models we list. At $0.12 per million input tokens it is cheaper than 64% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 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 →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000120 |
| Output | $0.50 | $0.000500 |
What would Qwen: Qwen3 30B A3B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 30B A3B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 30B A3B
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique..
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Frequently asked questions about Qwen: Qwen3 30B A3B
How much does Qwen: Qwen3 30B A3B cost?
Qwen: Qwen3 30B A3B costs $0.12 per million input tokens and $0.50 per million output tokens.
What is the context window of Qwen: Qwen3 30B A3B?
Qwen: Qwen3 30B A3B has a context window of 131,072 tokens (131K).
What can Qwen: Qwen3 30B A3B do?
Qwen: Qwen3 30B A3B supports tool use and function calling.
Who created Qwen: Qwen3 30B A3B?
Qwen: Qwen3 30B A3B is developed by Qwen and was released on April 28, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 2, 2026 11:59 am