Qwen3.5 9B FP8

Open weights

Qwen3.5 9B FP8 is a language model from Qwen with a 256K-token context window. Provider list price is $0.17 per million input tokens and $0.25 per million output; on Allocate you pay $0.18 and $0.27 with the 7% transaction fee. The weights are open, so you can fine-tune it and own the result.

Route Qwen3.5 9B FP8 Talk to sales

Pricing

Provider listOn Allocate

Input, per M tokens$0.17$0.18

Output, per M tokens$0.25$0.27

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

Price against its peers

Qwen3.5 9B FP8$0.17$0.25

Meta Llama 3 8B Instruct Reference$0.20$0.20

Llama Guard 4 12B$0.20$0.20

Meta Llama 3 8B Instruct$0.20$0.20

Meta Llama 3.1 8B$0.20$0.20

Ministral 3 14B Instruct 2512$0.20$0.20

Mistral (7B) Instruct v0.1$0.20$0.20

Mistral (7B) Instruct v0.3$0.20$0.20

InputOutput

Provider list prices per M tokens, Qwen3.5 9B FP8 against its nearest language peers by price.

What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.17 + 350 × $0.25 = $291.50 a month. Billed on Allocate it is $311.91 with the 7% transaction fee.

Qwen3.5 9B FP8 is an open-weights model; the catalog does not list its license, so check the lab’s model card before commercial fine-tuning.

Example usage

Point a route at qwen/qwen3.5-9b and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network

curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "qwen/qwen3.5-9b",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'

200 · qwen/qwen3.5-9b · inside your boundary

Common questions

How much does Qwen3.5 9B FP8 cost per million tokens?

Provider list price is $0.17 per million input tokens and $0.25 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.18 in and $0.27 out.

What context window does Qwen3.5 9B FP8 have?

262,144 tokens (256K). At roughly 0.75 words per token, that is about 197k words of English text per request.

Can I fine-tune Qwen3.5 9B FP8?

Yes. Qwen3.5 9B FP8 is an open-weights model; check the lab’s model card for the exact license terms. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call Qwen3.5 9B FP8 on Allocate?

Send qwen/qwen3.5-9b in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.