Qwen2 Instruct 72B
AlibabaQwenOpen Weighttongyi-qianwen
Description
Qwen2-72B-Instruct is an instruction-tuned language model with 72 billion parameters, supporting a context length of up to 131,072 tokens. It's part of the new Qwen2 series, which has surpassed most open-source models and demonstrates competitiveness against proprietary models across various benchmarks.
Release Date
2024-06-07
Parameters
72.0B
Context Length
—
Modalities
—
Capability Radar
23
general
16
coding
36
reasoning
27
science
30
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 538 | 17.0 | AA |
| General Ranking | 530 | 26.0 | AA |
| Science | 587 | 18.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))General
C-Eval
83.8%SR
MMLU
82.3%SR
MultiPL-E
69.2%SR
TruthfulQA
54.8%SR
Language
CMMLU
90.1%SR
MMLU-Pro
64.4%SR
Math
GSM8k
91.1%SR
MATH
59.7%SR
TheoremQA
44.4%SR
Reasoning
HellaSwagAI2 (2019)
87.6%SR
HumanEvalOpenAI (2021)
86.0%SR
Winogrande
85.1%SR
BBH
82.4%SR
MBPP
0.80 / 100SR
EvalPlus
0.79 / 100SR
ARC-C
68.9%SR
GPQANYU + Cohere + Anthropic (2023)
42.4%SR
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))70.1
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))62.2
Gpqa(NYU + Cohere + Anthropic (2023))37.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))15.9
Aime(MAA (Mathematical Association of America))14.7
Intelligence Index(Artificial Analysis)6.3
Hle(Center for AI Safety + Scale AI (2025))3.7
LLM Stats Category Scores
(LLM Stats (zeroeval))Language80
Code80
Legal70
Math70
Reasoning70
General70
Healthcare70
Finance60
Physics40
Biology40
Chemistry40
Pricing
Input PriceFree
Output PriceFree
Blended Price (3:1)Free
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
No provider data available