Model catalog

Qwen 2.5 14B Instruct

Open weights

Qwen 2.5 14B Instruct is a language model from Qwen with a 32K-token context window. Provider list price is $0.80 per million input tokens and $0.80 per million output; on Allocate you pay $0.86 and $0.86 with the 7% transaction fee. The weights are open under Apache 2.0, so you can fine-tune it and own the result.

Pricing

Provider listOn Allocate
Input, per M tokens$0.80$0.86
Output, per M tokens$0.80$0.86

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

Price against its peers

Qwen3.7 Plus$0.32$1.28
Qwen 2.5 14B Instruct$0.80$0.80
InputOutput

Provider list prices per M tokens, Qwen 2.5 14B 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 × $0.80 + 350 × $0.80 = $1,240 a month. Billed on Allocate it is $1,327 with the 7% transaction fee.

Qwen 2.5 14B Instruct 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/qwen2.5-14b-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/qwen2.5-14b-instruct",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · qwen/qwen2.5-14b-instruct · inside your boundary

Common questions

How much does Qwen 2.5 14B Instruct cost per million tokens?

Provider list price is $0.80 per million input tokens and $0.80 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.86 in and $0.86 out.

What context window does Qwen 2.5 14B 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 Qwen 2.5 14B Instruct?

Yes. Qwen 2.5 14B Instruct 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 2.5 14B Instruct on Allocate?

Send qwen/qwen2.5-14b-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