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Qwen2.5 72B

qwen/qwen-2.5-72b-instruct
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Qwen2.5 72B

qwen/qwen-2.5-72b-instruct

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

Added Jul 3, 2025

Model weights

Context Window

131.1K

Max Output

8.2K

Avg output tokens (7d)

217 tokens

16%

Input Price (Auto)

$0.36/1M

Output Price (Auto)

$0.40/1M

Cache Read (Auto)

$0.18/1M

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

7.7

Better than 30% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

34.5%

Better than 42% of models compared

Reasoning

HLE

Humanity's Last Exam

3.6%

Better than 7% of models compared

IFBench

Instruction-following benchmark

36.9%

Better than 31% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

4.5%

Better than 29% of models compared

LiveCodeBench

Contamination-free coding benchmark

27.6%

Better than 30% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

14.0%

Better than 17% of models compared

AIME

American Invitational Mathematics Examination

16.0%

Better than 44% of models compared

Math-500

Diverse mathematical problem solving benchmark

85.8%

Better than 54% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

72.0%

Better than 40% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

17.5%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

85.5%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

49.1%

Better than 23% of models compared

Last updated Sep 13, 2026

Artificial Analysis

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