Qwen3.5 27B

ChatInput: TextInput: ImageReleased Feb 25, 2026

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

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

How to use

model: "qwen/qwen3.5-27b"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "qwen/qwen3.5-27b",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

262K

Max output

66K

Input $/1M

$0.26

Output $/1M

$2.60

Features

Tool callingJSON

Serving providers

DeepInfraNovitaW&B Inference

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. 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.

Speed

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