Qwen3 235B A22B Thinking 2507

Open-weights chat model from Alibaba Cloud Model Studio. One API key reaches all 2 providers, with automatic failover.

Input / 1M$0.47

Output / 1M$3.69

Context128K

Providers 2 providers, one key

No card required. Start with 1 million free tokens.

Overview

About Qwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 is an open-weights chat model published by Alibaba Cloud Model Studio, with a 128,000-token context window. Through TrustedRouter it runs on 2 providers, with options in the US and EU, from $0.47 per million input tokens. Two providers offer zero data retention.

Model ID: qwen/qwen3-235b-a22b-thinking-2507
Publisher: Alibaba Cloud Model Studio
Modes: chat
Billing: Credits or your own provider key
More data: Qwen3 235B A22B Thinking 2507 Providers Qwen3 235B A22B Thinking 2507 Pricing

Quickstart

Set it up with your agent

Paste this into Claude Code, Cursor or any coding agent.

Use Qwen3 235B A22B Thinking 2507 through TrustedRouter in this project.

1. Read https://trustedrouter.com/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Set the model to qwen/qwen3-235b-a22b-thinking-2507.
4. Run the tests, then show me the diff before committing.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
response = client.chat.completions.create(
    model="qwen/qwen3-235b-a22b-thinking-2507",
    messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)

curl https://api.trustedrouter.com/v1/chat/completions \
  -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-235b-a22b-thinking-2507",
    "messages": [{"role": "user", "content": "What is the capital of France?"}]
  }'

Your agent will need an API key.

2 providers

Providers

Your key goes to the cheapest healthy provider and fails over on its own. Open a row for retention, location and weight format, or see how we check privacy claims and the live speed leaderboard.

Qwen3 235B A22B Thinking 2507 providers and prices per 1M tokens
Provider	Input	Cached	Output	Cost per 1M in + out
Featherless AI Zero retention	$0.475	—	$3.69	$4.17
Retention Zero data retention. Featherless's published privacy policy states that prompts and completions are neither collected nor stored. Account, payment and usage metadata, including token counts and sampler settings, may be retained. This is policy-backed ZDR, not verified confidential compute or E2EE. Provider policy source Location Operator country: US Headquarters / registered office: Not verified. Inference: Inference location not verified; no country-specific residency commitment. No inference-location declaration has been verified for this provider. Region pinning through TR: No verified provider-specific location pin documented here. Full location evidence Weight format Unknown Price and speed Input $0.47475/1M · Cached input Not published · Output $3.6925/1M TTFT: insufficient data Speed: insufficient data Featherless AI provider page
Venice Zero retention	$0.475	—	$3.69	$4.17
Retention Zero data retention. Verification: provider E2EE not verified. Venice's live model catalog marks this exact route private. Venice describes Private as contract-enforced zero data retention. This is policy-backed, not hardware-verified. TrustedRouter cannot verify a complete chain from the live endpoint to immutable source and model weights, so the route is not tracked as TEE or E2EE and is excluded from trustedrouter/e2e. Provider policy source Location Operator country: US Headquarters / registered office: Not verified. Inference: Inference location not verified; no country-specific residency commitment. No inference-location declaration has been verified for this provider. Region pinning through TR: No verified provider-specific location pin documented here. Full location evidence Weight format Unknown Price and speed Input $0.47475/1M · Cached input Not published · Output $3.6925/1M TTFT: insufficient data Speed: insufficient data Venice provider page

Append :nitro to the model ID, or send "provider": {"sort": "throughput"}, to route to the fastest provider instead.

FAQ

Questions

What model ID should I use for Qwen3 235B A22B Thinking 2507?

Use qwen/qwen3-235b-a22b-thinking-2507 as the model field with the TrustedRouter OpenAI-compatible API. Credits routing and provider fallback happen behind that model ID.

Do you log my prompts or outputs?

No. Prompt and output content are intentionally excluded from the control plane and metadata systems. Optional content export requires explicit destination-level configuration.

Which providers serve Qwen3 235B A22B Thinking 2507?

TrustedRouter currently lists Venice, and Featherless AI for Qwen3 235B A22B Thinking 2507. Provider availability and routing eligibility can change as catalog and health data update.

How much does Qwen3 235B A22B Thinking 2507 cost through TrustedRouter?

The current lowest Credits input price is $0.47475/1M and the lowest Credits output price is $3.6925/1M. Prices are per one million tokens and come from the current route catalog.

How do I require zero data retention for Qwen3 235B A22B Thinking 2507?

Set provider.min_privacy to zdr on the request. TrustedRouter considers only routes with a recorded zero-data-retention posture and fails closed if no eligible route remains.

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Start building with Qwen3 235B A22B Thinking 2507.

No card required. Start with 1 million free tokens.