Alibaba Qwen: Qwen2.5 7B Instruct

Not supportedQuick start

Qwen2.5 7B Instruct is Alibaba Qwen's 7-billion-parameter open-weight model, released 2024-10, tuned for instruction following. It improves on Qwen2 with stronger coding and math, better structured-data handling, and support for over 29 languages.

MirAPI doesn’t offer this model. The prices shown are the official list prices.

Modalities
inTextoutText
Price / 1M
$0.10 / $0.20
Context
33K
Released
Oct 16, 2024
Knowledge cutoff
Jun 30, 2024

Capabilities

Tool useStructured output

Parameters

Request parameters this model accepts through the API.

frequency_penaltymax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p

Benchmarks

bar = score (0–100) · ▏ median

Scores come from vendor reports and public leaderboards, not private evals.

GPQA Diamond
Science QA
32.8
#125
τ-bench (airline)
Agentic tool use
16.7
#122

Showcase

Every chat model gets the same three fixed prompts. Outputs are archived verbatim, so you can copy a prompt and reproduce the result.

Task prompt · identical for all models
Build a single-file HTML page using three.js from a CDN: a low-poly planet with a tilted ring of ~200 orbiting particles, a soft key light plus rim light, slow auto-rotation, and drag-to-orbit controls. No build tools — one file only.
Archived output
Archive not published yet

Every model will run this exact prompt, and its output will appear here verbatim with token counts and the cost per run.

Quick start

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mirapi.ai/v1",   # changed
    api_key=os.environ["MIRAPI_API_KEY"],   # changed
)

resp = client.chat.completions.create(
    model="",
    messages=[{"role": "user", "content": "Hello"}],
)
Wire Qwen2.5 7B Instruct into your product

1M free tokens to start, no card required. It’s OpenAI-compatible, so you only change the base URL.

Start free