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 use, while remaining robust on alignment and formatting. Compared with prior Qwen3 instruct variants, it focuses on higher throughput and stability on ultra-long inputs and multi-turn dialogues, making it well-suited for RAG, tool use, and agentic workflows that require consistent final answers rather than visible chain-of-thought. The model employs scaling-efficient training and decoding to improve parameter efficiency and inference speed, and has been validated on a broad set of public benchmarks where it reaches or approaches larger Qwen3 systems in several categories while outperforming earlier mid-sized baselines. It is best used as a general assistant, code helper, and long-context task solver in production settings where deterministic, instruction-following outputs are preferred.
Specifications
Modalities
Supported Parameters
Data policy
- Prompt retention
- Unknown — we could not confirm
- Training
- Not used for training
"Unknown" does not mean "safe". It means we could not confirm it.
Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.
Measured performance
Measured through FastMetal's own gateway over the last 30 days (658 first-response samples).
Throughput is sampled once a day: the median of 27 observations over the last 30 days.
Time to first response is measured to the first streamed chunk; throughput counts all output tokens, including reasoning tokens. These are observations, not a performance guarantee.
Code Examples
curl https://api.fastmetal.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen3-next-80b-a3b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'How Qwen3 Next 80B A3B Instruct actually answers
Real responses to our standard prompts, recorded on FastMetal.
Count the number of 'r's in 'strawberry'
Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.
Debug This Error
I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…
Code Review
Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…
Frequently asked questions
- How much does the Qwen3 Next 80B A3B Instruct API cost?
- On FastMetal, Qwen3 Next 80B A3B Instruct is billed per token: $0.095 per 1M input tokens and $1.17 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
- Can I call Qwen3 Next 80B A3B Instruct with the OpenAI SDK?
- Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "qwen3-next-80b-a3b-instruct" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
- What is the context window of Qwen3 Next 80B A3B Instruct?
- 262,144 tokens, shared between the prompt and the response.
- How does Qwen3 Next 80B A3B Instruct rank?
- #120 on the public arena's Japanese board (ELO 1,369). Ranks move as the leaderboard is updated.
- What do I need to try Qwen3 Next 80B A3B Instruct?
- Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.
Try Qwen3 Next 80B A3B Instruct right now
Qwen3 Next 80B A3B Instruct is available on FastMetal through one API key. Start in the browser, or call it from the OpenAI SDK.
Leaderboard
Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-22; category names mapped and ratings rounded by FastMetal.