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Qwen2.5 7B Instruct pricing and routing profile

Qwen2.5 7B Instruct from Qwen (Alibaba) lists at $0.10 per million input tokens and $0.20 per million output tokens, with a 32,768-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.10
Output, per 1M tokens$0.20
Context window33K
Confidence signalNot exposed

Tool callingStructured output

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.062
Chat reply (2,000 in, 400 out)$0.28
Retrieval-augmented answer (8,000 in, 500 out)$0.90

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Not as a first-answer model through OpenRouter: no host returns token log probabilities for Qwen2.5 7B Instruct. It can still be the model Gimbix falls back to when a cheaper model is unsure.

Cheaper models that can answer first

Models priced below Qwen2.5 7B Instruct that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
Nemotron 3.5 Lightning$0.08 / $0.2014%
Nemotron 3 Nano 30B A3B$0.05 / $0.2036%
Llama 3.1 8B Instruct$0.05 / $0.0853%
Qwen3.7 Flash$0.03 / $0.1360%
Granite 4.0 Micro$0.017 / $0.11272%
gpt-oss-20b$0.018 / $0.0974%

Questions

How much does Qwen2.5 7B Instruct cost?

Qwen2.5 7B Instruct lists at $0.10 per million input tokens and $0.20 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.28 per 1,000 requests.

What is the context window of Qwen2.5 7B Instruct?

32,768 tokens.

Can a cheaper model replace Qwen2.5 7B Instruct?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Qwen2.5 7B Instruct on one half of your requests and make at most three answers worse on the other.