Using Qwen3-235B-A22B-Instruct-2507 on Together AI

Implementation guide · Qwen3 · Alibaba

ServerlessProvisioned
Open Source

Together AI exposes Qwen3-235B-A22B-Instruct-2507 through model ID Qwen/Qwen3-235B-A22B-Instruct-2507-tput. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

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

Quick Start

  1. 1
    Create an account at Together AI and generate an API key.
  2. 2
    Use the Together AI SDK or REST API to call Qwen/Qwen3-235B-A22B-Instruct-2507-tput — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.60/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
Qwen/Qwen3-235B-A22B-Instruct-2507-tput

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.

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="Qwen/Qwen3-235B-A22B-Instruct-2507-tput",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Together AI

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.60

Capabilities

No model capability flags are currently sourced.

About Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 is Alibaba Qwen's July 2025 non-thinking update of Qwen3-235B-A22B, a mixture-of-experts model with 22B active of 235B total parameters. Qwen dropped the hybrid thinking mode and trained separate Instruct and Thinking models; this is the Instruct release, with Apache-2.0 open weights on Hugging Face.

Model Specs

Released2025-07-21
Parameters235B-A22B
ArchitectureMixture of Experts

Provider

Together AI

San Francisco, California, United States