Model catalog

Qwen2.5-VL (72B) Instruct

Open weights

Qwen2.5-VL (72B) Instruct is a language model from Qwen with a 32K-token context window. Provider list price is $1.95 per million input tokens and $8 per million output; on Allocate you pay $2.09 and $8.56 with the 7% transaction fee. The weights are open under Qwen license, so you can fine-tune it and own the result.

Pricing

Provider listOn Allocate
Input, per M tokens$1.95$2.09
Output, per M tokens$8$8.56

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

Price against its peers

Kimi K2.6 Fp4$1.20$4.50
GLM 5.1 FP4$1.40$4.40
GLM 5.2$1.40$4.40
Qwen2.5-VL (72B) Instruct$1.95$8
InputOutput

Provider list prices per M tokens, Qwen2.5-VL (72B) Instruct 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 × $1.95 + 350 × $8 = $5,140 a month. Billed on Allocate it is $5,500 with the 7% transaction fee.

Qwen2.5-VL (72B) Instruct is an open-weights model under the Qwen license license. Read the license terms once before you build on it; fine-tuned weights on Allocate stay inside your boundary.

Example usage

Point a route at qwen/qwen2.5-vl-72b-instruct 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/qwen2.5-vl-72b-instruct",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · qwen/qwen2.5-vl-72b-instruct · inside your boundary

Common questions

How much does Qwen2.5-VL (72B) Instruct cost per million tokens?

Provider list price is $1.95 per million input tokens and $8 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $2.09 in and $8.56 out.

What context window does Qwen2.5-VL (72B) Instruct have?

32,768 tokens (32K). At roughly 0.75 words per token, that is about 25k words of English text per request.

Can I fine-tune Qwen2.5-VL (72B) Instruct?

Yes. Qwen2.5-VL (72B) Instruct is an open-weights model under the Qwen license license. 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 Qwen2.5-VL (72B) Instruct on Allocate?

Send qwen/qwen2.5-vl-72b-instruct 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.

Compare against