Qwen 3.5

Open weights

Qwen 3.5 is a language model from Qwen with a 256K-token context window. Provider list price is $0.60 per million input tokens and $3.60 per million output; on Allocate you pay $0.64 and $3.85. The weights are open under Apache 2.0, so you can fine-tune it and own the result.

Route Qwen 3.5 Book a call

Pricing

Provider listOn Allocate

Input, per M tokens$0.60$0.64

Output, per M tokens$3.60$3.85

Cached input, per M tokens$0.35$0.37

Prices checked 2026-07-21.

Price against its peers

Qwen3.5 397B A17b$0.60$3.60

NVIDIA Nemotron 3 Ultra 550B A55B NVFP4$0.60$3.60

GLM 5 Fp4$1$3.20

Grok 4.3$1.25$2.50

Grok 4.20 Reasoning$1.25$2.50

Grok 4.20 Non-reasoning$1.25$2.50

DeepSeek R1 Distill Llama 70B$2$2

Qwen3 Coder 480B A35B Instruct Fp8$2$2

InputOutput

Provider list prices per M tokens, Qwen 3.5 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 × $0.60 + 350 × $3.60 = $1,980 a month. Billed on Allocate it is $2,119.

Where it fits

Alibaba’s multilingual open-weight MoE, Apache 2.0 licensed: 397B parameters with 17B active and 256K context. The open pick when your traffic is not only English, and the weights you fine-tune are yours.

Multilingual support agents
Translation-adjacent workflows
Fine-tuning under Apache 2.0

Qwen 3.5 is an open-weights model under the Apache 2.0 license. Fine-tune it on your own data and the weights stay inside your boundary; they belong to you.

Example usage

Point a route at qwen/qwen3.5-397b-a17b 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/qwen3.5-397b-a17b",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'

200 · qwen/qwen3.5-397b-a17b · inside your boundary

Common questions

How much does Qwen 3.5 cost per million tokens?

Provider list price is $0.60 per million input tokens and $3.60 per million output tokens. On Allocate you pay $0.64 in and $3.85 out.

What context window does Qwen 3.5 have?

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

What does cached input cost on Qwen 3.5?

$0.35 per million tokens at list ($0.37 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.

Can I fine-tune Qwen 3.5?

Yes. Qwen 3.5 is an open-weights model under the Apache 2.0 license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call Qwen 3.5 on Allocate?

Send qwen/qwen3.5-397b-a17b 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.