Warp

Qwen3 235B

ChatInput: TextReleased Jul 21, 2025

Built by Alibaba (Qwen) · China · qwen.ai

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

How to use

Just add the suffix. Hard questions still come back from this model; only easy ones drop to something cheaper, and nothing pricier than it gets used.

model: "qwen/qwen3-235b:auto"

Sets no behavior — whatever your key already stores stays in effect.

Without the suffix, the bare name always goes to this model — no routing, so nothing saved.

Context

262K

Max output

16K

Input $/1M

$0.09

Output $/1M

$0.60

Features

Tool callingJSON

Providers

DeepInfraNovitaFriendliGMI CloudVeniceW&B Inference

Providers

Price, latency, and uptime per provider serving this model. Warp tries them in order of how each host has just been behaving, moving to the next on failure. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

ARC-AGI-2Abstract reasoning
1.3%

At each model's best reasoning effort

Category ranksAmong all rated models
Korean#68Instruction following#89

Source: LMArena

Speed

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Parameter support

What Warp actually does with each parameter when you call this model. The answer differs by serving provider and by API surface.

Provider