Qwen3.5 9B

ChatInput: TextInput: ImageReleased Mar 10, 2026

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

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

How to use

model: "qwen/qwen3.5-9b"

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/qwen3.5-9b",
    "savings_target": 0.4
  }
}

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

Context

262K

Max output

262K

Input $/1M

$0.10

Output $/1M

$0.15

Features

Tool callingJSON

Serving providers

DeepInfra

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

Benchmark quality scores, and measured speed per provider.

Quality

Terminal-BenchAgentic terminal tasks

9.2%

SciCodeScientific code generation

27.6%

At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.

Speed

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