Analysis Summary
Qwen3 Next 80B A3B Instruct is a text model with tool use and function calling, a 262K context window, and low listed token prices. Its measured intelligence indicator is limited, and this variant has no coding, agentic, or instruction-following results supplied. The available feature set is useful, but it does not establish the reliability needed for complex workflows.
For agency use, consider it for bounded document processing and simple structured automation, with human review of outputs and tool actions. The long context can accommodate large inputs, but teams should test whether it retains details and follows constraints across those inputs. Image support is not listed.
Pricing makes it attractive for a limited pilot or routine traffic if task quality meets requirements. Keep high-stakes analysis, complex coding, and unattended client workflows on a model with stronger task-specific evidence.
Assessed September 23, 2026
Editorial notes
Qwen3 Next 80B A3B Instruct provides tool and function calling, a 262K context window, and low listed prices. Its measured overall intelligence is limited, with no coding or instruction-following results supplied for this variant.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3 Next 80B A3B Instruct provides tool and function calling, a 262K context window, and low listed prices. Its measured overall intelligence is limited, with no coding or instruction-following results supplied for this variant.
Benchmarks
Artificial Analysis data refreshed Oct 9, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Qwen: Qwen3 Next 80B A3B Instruct yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Qwen: Qwen3 Next 80B A3B Instruct compares
Qwen: Qwen3 Next 80B A3B Instruct ranks #230 of 435 AI models we track for overall intelligence. Its 262K-token context window is larger than 75% of the models we list. At $0.10 per million input tokens it is cheaper than 65% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $1.10 | $0.001100 |
What would Qwen: Qwen3 Next 80B A3B Instruct 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 697 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 Next 80B A3B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 Next 80B A3B Instruct
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual..
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Frequently asked questions about Qwen: Qwen3 Next 80B A3B Instruct
How much does Qwen: Qwen3 Next 80B A3B Instruct cost?
Qwen: Qwen3 Next 80B A3B Instruct costs $0.10 per million input tokens and $1.10 per million output tokens.
What is the context window of Qwen: Qwen3 Next 80B A3B Instruct?
Qwen: Qwen3 Next 80B A3B Instruct has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3 Next 80B A3B Instruct do?
Qwen: Qwen3 Next 80B A3B Instruct supports tool use and function calling.
Who created Qwen: Qwen3 Next 80B A3B Instruct?
Qwen: Qwen3 Next 80B A3B Instruct is developed by Qwen and was released on September 11, 2025.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 9, 2026 8:39 pm