Qwen: Qwen3 Next 80B A3B Instruct
Analysis Summary
Qwen3 Next 80B A3B Instruct (paid) shares the same benchmark profile as its free sibling, with an intelligence index of 20.1, coding index of 15.3, and agentic index of 14.6. The 262K context window and tool use support are genuine assets for long-document workflows. GPQA at 0.738 and MMLU Pro at 0.819 indicate solid general knowledge, while the math index of 66.3 is a relative strength.
For businesses, this model fits structured content tasks, document analysis, and information extraction at low cost ($0.09 input, $1.10 output per million tokens). The agentic index of 14.6 and coding index of 15.3 rule it out for autonomous pipelines or software engineering. Instruction following (ifbench 0.397) and long-context reasoning (lcr 0.513) are adequate for routine content work.
A -4 point regional penalty applies. Best positioned as a cost-effective workhorse for high-volume, lower-complexity tasks where the large context window adds practical value.
Assessed June 6, 2026
Editorial notes
Qwen3 Next 80B A3B Instruct pairs a 262K context window and tool use with moderate reasoning scores, suited to cost-sensitive structured tasks rather than complex agentic or coding work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 Next 80B A3B Instruct compares
Qwen: Qwen3 Next 80B A3B Instruct ranks #172 of 377 AI models we track for overall intelligence, #180 of 314 for coding, #222 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.09 per million input tokens it is cheaper than 68% of comparable models.
About 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 āthinkingā traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 Next 80B A3B Instruct stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-next-80b-a3b-instruct
|
| Provider | qwen |
| Release Date | September 11, 2025 |
| Context Length | 262,144 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.09 | $0.000090 |
| Output | $1.10 | $0.001100 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
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 $0.09 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).
Is Qwen: Qwen3 Next 80B A3B Instruct good for coding?
On our coding benchmark index, Qwen: Qwen3 Next 80B A3B Instruct ranks #180 of 314 models, placing it in the broader range of the field for code generation and debugging.
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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 9, 2026 9:57 pm