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Qwen · Open weights

Qwen2.5 72B

Added Jul 3, 2025Open weights

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Use in the app

Great multilingual support, strong at mathematics and coding, supports roleplay and chatbots.

  • Tools
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.36
Output
$0.40

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
8.2K
Average output (7 days)
166 tokens
Longer than 16% of 468 models

Side by side

Qwen2.5 72B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Qwen2.5 72BQwenThis modelSolar Pro 3upstageRemove
ProviderQwenupstage
Discovery tierOpen weightsEfficient
AddedJul 3, 2025Mar 3, 2026
Limits
Context window131.07K131.07K
Max output8.19K—
Average output166 tokens—
Pricing, USD per 1M tokens
Input$0.36$0.15Best
Output$0.40Best$0.60
Cache read—$0.015
Benchmark indexes
Intelligence Index7.77.8Best
Coding Index—16.2
Math Index14.0—
Capabilities
ToolsYesNo
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Qwen2.5 72B
  • Solar Pro 3

Intelligence Index

  • Qwen2.5 72B7.7
  • Solar Pro 37.8

Qwen2.5 72B: Better than 11% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Qwen2.5 72B: —
    • Solar Pro 3: 16.2

  • Math Index

    Composite of the math evaluations

    • Qwen2.5 72B: 14.0
    • Solar Pro 3: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen2.5 72B: —
    • Solar Pro 3: 0.5%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen2.5 72B: —
    • Solar Pro 3: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen2.5 72B: —
    • Solar Pro 3: 99 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen2.5 72B: —
    • Solar Pro 3: 264 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen2.5 72B: —
    • Solar Pro 3: 1.6%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen2.5 72B: —
    • Solar Pro 3: 32.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Qwen2.5 72B: —
    • Solar Pro 3: 0.6%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen2.5 72B: 3.6%
    • Solar Pro 3: 10.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • Qwen2.5 72B: 49.1%
    • Solar Pro 3: 72.4%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Qwen2.5 72B: 72.0%
    • Solar Pro 3: —

  • IFBench

    Following precise output instructions

    • Qwen2.5 72B: 36.9%
    • Solar Pro 3: 71.2%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen2.5 72B: —
    • Solar Pro 3: 0.0%

  • SciCode

    Scientific computing in Python

    • Qwen2.5 72B: —
    • Solar Pro 3: 25.5%

  • LiveCodeBench

    Recent competitive programming problems

    • Qwen2.5 72B: 27.6%
    • Solar Pro 3: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Qwen2.5 72B: 14.0%
    • Solar Pro 3: —

  • AIME

    Competition mathematics

    • Qwen2.5 72B: 16.0%
    • Solar Pro 3: —

  • MATH-500

    Competition math problems

    • Qwen2.5 72B: 85.8%
    • Solar Pro 3: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen2.5 72B: 4.5%
    • Solar Pro 3: 7.6%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen2.5 72B: 34.5%
    • Solar Pro 3: 86.3%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen2.5 72B: —
    • Solar Pro 3: 32.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen-2.5-72b-instruct",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen-2.5-72b-instruct",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.