How much does Qwen2.5 7B Instruct cost?

Qwen2.5 7B Instruct costs $0.10 per million input tokens and $0.20 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $3.00.

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

Qwen2.5 7B Instruct accepts up to 32,768 tokens (33K) of input and can return up to 29,491 tokens in one response.

Does Qwen2.5 7B Instruct support tool calling and structured outputs?

Yes, Qwen2.5 7B Instruct supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Deterministic seed.

What inputs and outputs does Qwen2.5 7B Instruct support?

Qwen2.5 7B Instruct accepts Text as input and produces Text as output.

When was Qwen2.5 7B Instruct released?

Qwen2.5 7B Instruct was released by Qwen in 2024-10-16.

Qwen2.5 7B Instruct

qwen-2.5-7b-instruct

API Provider site

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and... Built by Qwen.

Prices updated recently

Input price

$0.10

per 1M tokens · Standard

Output price

$0.20

per 1M tokens · Standard

Input limit

33K

tokens

Output limit

29K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen2.5 7B Instruct price history

2 price records since 9/25/2026

Qwen2.5 7B Instruct cost calculator

Input20M tokens

Output5M tokens

$3.00/month

Standard pricing

Overview

What is Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is a text & reasoning model from Qwen. Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and... Its 33K context window and $0.10 input price make it a candidate for cost-sensitive, high-throughput applications.

Content workflowsClassification

Rates

Qwen2.5 7B Instruct pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.10

Per 1M tokens

Cached input · Standard

Not available

No listed cached-input rate

Capabilities

Qwen2.5 7B Instruct Tools

Tools available when using Qwen2.5 7B Instruct through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Not supported

Built-in web search

Not supported

Log probabilities

Not supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Not supported

Strengths and limitations

Strengths

Low input cost at $0.10 per million tokens suits high-volume workloads.
A 33K context window covers most focused application workflows.
Supports text & reasoning workloads in one model.

Limitations

Real-world cost still depends on prompt length, response length and provider-specific billing rules.
The 33K context window is smaller than several long-context alternatives.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

Same provider