Qwen3-Next-80B-A3B-Thinking on Together AI

Qwen3 · Alibaba

Provisioned
Open Source

Last refreshed 2026-10-19. Next refresh: weekly.

Why use Qwen3-Next-80B-A3B-Thinking on Together AI?

Together AI offers Qwen3-Next-80B-A3B-Thinking. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Compare Qwen3-Next-80B-A3B-Thinking across 4 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install together
Auth
export TOGETHER_API_KEY=...
Call
from together import Together
client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="Qwen/Qwen3-Next-80B-A3B-Thinking",
Model ID
Qwen/Qwen3-Next-80B-A3B-Thinking

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="Qwen/Qwen3-Next-80B-A3B-Thinking",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "Qwen/Qwen3-Next-80B-A3B-Thinking", not the LLMReference slug "qwen3-next-80b-a3b-thinking".
  • Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
  • The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.

Compare Qwen3-Next-80B-A3B-Thinking Across Providers

ProviderInput (per 1M)Output (per 1M)
OpenRouter$0.15$1.20
Vercel AI Gateway$0.15$1.20
Together AI——
Fireworks AI——

Capabilities

Reasoning

About Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking is the thinking-mode variant of Alibaba Qwen's Qwen3-Next-80B-A3B, an 80B-parameter mixture-of-experts model with 3B active parameters per token and a hybrid Gated DeltaNet + Gated Attention architecture. It was announced on 2025-09-11 alongside the Instruct variant, with Apache-2.0 open weights on Hugging Face.

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