Qwen3 235B A22B Thinking (2507)

by Alibaba

Qwen3-235B-A22B-Thinking-2507 is the reasoning-specialized variant released in July 2025, activating 22 billion of 235 billion parameters per forward pass through mixture-of-experts routing. This thinking-only model is built for step-by-step problem solving in mathematics, science, coding, and complex logical reasoning, generating internal chains of thought in think blocks. It posts strong results among open-weight thinking models on benchmarks including AIME25 (92.3) and LiveCodeBench (74.1), and handles reasoning-heavy tasks that benefit from extended computation. It supports a 131K context window and strong multilingual reasoning across 100+ languages. The MoE design keeps computation efficient, activating only 22 billion parameters per token despite the 235 billion total, which makes it practical for demanding reasoning workloads. Open-weight under Apache 2.0.

Call Qwen3 235B A22B Thinking (2507) on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Key info

Input
Output
Features
Context window
262K
Max output
262K
Input price
$0.23 /1M$0.20 cache read
Output price
$2.30 /1M
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

Qwen3 235B A22B Thinking (2507) runs on 2 different routes through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutputCache read
USNo$0.23$2.30$0.20
USNo$0.30$3.00Input price

Uptime and availability

Qwen3 235B A22B Thinking (2507) runs on 2 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.

100%effective uptime, last 30 days
Averaged across these routes on their own, a single provider reached 100% over the same window.
Daily status through the gateway, which serves each request from whichever route is healthy.
2 monitored providers serve Qwen3 235B A22B Thinking (2507).

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Qwen3 235B A22B Thinking (2507) has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
No classifier
GDPR DPA
DPA available
Transfer mechanism
unknown

Novita — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; SCCs; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
On by default, keeps nothing
GDPR DPA
DPA available
Transfer mechanism
SCCs

Get started

Call Qwen3 235B A22B Thinking (2507) through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Qwen3 235B A22B Thinking (2507) is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.ai/v3/compat",
});
const completion = await client.chat.completions.create({
model: "deepinfra/Qwen/Qwen3-235B-A22B-Thinking-2507",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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