Warp

Qwen3.5 Plus

ChatInput: TextInput: ImageReleased Feb 16, 2026

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

The Qwen3.5 native vision-language series Plus models are based on a hybrid architecture design that integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE), achieving higher inference efficiency. Across various task evaluations, the 3.5 series demonstrates exceptional performance comparable to current top-tier frontier models, marking a leap forward in both plain text and multimodal capabilities compared to the 3 series.

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-plus: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

992K

Max output

66K

Input $/1M

$0.40

Output $/1M

$2.40

Features

Image inputTool calling

Providers

Novita

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

GPQA DiamondPhD-level science questions
84.2%
AIMECompetition mathematics
85.0%
FrontierMathResearch-level mathematics
21.0%
SimpleQA VerifiedFactual accuracy
26.0%

At each model's best reasoning effort

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.