Qwen2.5 Instruct 72B
AlibabaQwenOpen WeightQwen · Commercial OK
Description
Qwen2.5-72B-Instruct is an instruction-tuned 72 billion parameter language model, part of the Qwen2.5 series. It is designed to follow instructions, generate long texts (over 8K tokens), understand structured data (e.g., tables), and generate structured outputs, especially JSON. The model supports multilingual capabilities across over 29 languages.
Release Date
2024-09-19
Parameters
72.7B
Context Length
131K
Modalities
text
Capability Radar
27
general
27
coding
29
reasoning
32
science
28
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 420 | 20.0 | AA |
| General Ranking | 364 | 35.0 | AA |
| Science | 412 | 32.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
49.0%SR
Code
HumanEvalOpenAI (2021)
86.6%SR
LiveCodeBench
55.5%SR
Communication
MT-Bench
0.94 / 100SR
Creativity
AlignBench
81.6%SR
Arena Hard
81.2%SR
Finance
MMLU-Pro
71.1%SR
General
MBPP
0.88 / 100SR
MMLU-Redux
86.8%SR
IFEvalGoogle Research (2023)
84.1%SR
MultiPL-E
75.1%SR
LiveBench
52.3%SR
Math
GSM8k
95.8%SR
MATH
83.1%SR
AA Evaluation Indices
(Artificial Analysis)Math Index(Artificial Analysis)14.0
Intelligence Index(Artificial Analysis)9.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Ifbench(Google Research (2023))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Lcr(Artificial Analysis)0.2
Aime(MAA (Mathematical Association of America))0.2
Aime 25(MAA (Mathematical Association of America))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Hle(Center for AI Safety + Scale AI (2025))0.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Roleplay90
Communication90
Creativity90
Instruction Following80
Language80
Math80
Reasoning80
Structured Output80
General80
Writing80
Legal70
Finance70
Healthcare70
Code70
Physics50
Biology50
Chemistry50
Pricing
Input Price$0.475 / 1M tokens
Output Price$0.495 / 1M tokens
Blended Price (3:1)$0.48 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
2 providers
Cheapest: AlibabaMost Expensive: Alibaba (China)
ProviderInputOutput
1AlibabaPRIMARY
$0.475
$0.495
2Alibaba (China)
$0.574
$1.721
Compare pricing across different API providers for this model.