Warp

Qwen3.5 397B A17B

ChatInput: TextInput: ImageReleased Feb 16, 2026

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

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

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/qwen3.5-397b-a17b: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

66K

Input $/1M

$0.45

Output $/1M

$3.00

Features

Tool callingJSON

Providers

DeepInfraNovitaGMI CloudMorphDigitalOceanWafer

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

Measured latency (lower is better) and throughput (higher is better) per provider.

Quality

Category ranksAmong all rated models
Coding#48Korean#57Instruction following#63

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