qwen Open weights Vision Reasoning

Qwen3.5-9B pricing & benchmarks

Released Mar 10, 2026 · served by 5 providers

Input / 1M tokens$0.100
Output / 1M tokens$0.150
Context window262K
Cached input
Intelligence index21.4
Coding index28.7
Agentic index7.4
1M in + 300K out$0.14

What Qwen3.5-9B is

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...

Providers and prices for Qwen3.5-9B

The same model costs different amounts depending on who serves it. Prices are per 1M tokens, cheapest first. Uptime and throughput are OpenRouter's rolling measurements, not vendor claims.

ProviderInputOutputContext QuantUptime 24hThroughput
SiliconFlowcheapest $0.100 $0.150 262K fp8 97.6%
DeepInfra $0.100 $0.150 262K bf16 99.8%
Venice $0.100 $0.150 256K fp8 99.9%
Parasail $0.100 $0.250 262K bf16 94.5%
Together $0.170 $0.250 262K 99.6%

Cheaper models in the same class

Models scoring within 4 points of Qwen3.5-9B on the Intelligence Index, but with a lower output price.

FAQ

How much does the Qwen3.5-9B API cost?

$0.100 per 1M input tokens and $0.150 per 1M output tokens. A typical workload of 1M input + 300K output tokens costs about $0.14.

Is Qwen3.5-9B free?

No. It is a paid model starting at $0.100 per 1M input tokens, though some providers offer trial credits.

Which provider is cheapest for Qwen3.5-9B?

SiliconFlow at $0.100 input / $0.150 output per 1M tokens (fp8 quantization).

Can I self-host Qwen3.5-9B?

Yes — weights are published as Qwen/Qwen3.5-9B on Hugging Face, so you can run it on your own hardware.