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Qwen2.5 Instruct 32B

AlibabaQwen開源權重Apache 2.0 · 商用許可

描述

Qwen2.5-32B-Instruct is an instruction-tuned 32 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.

發布日期
2024-09-19
參數規模
32.5B
上下文長度
131K
支援模態
text

能力雷達圖

25
general
24
coding
39
reasoning
30
science
35
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜375
27.0
AA
通用能力榜410
32.0
AA
科學能力449
29.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)49.5%自報

Chemistry

MMLU-STEM80.9%自報

Code

HumanEvalOpenAI (2021)88.4%自報

Finance

MMLU83.3%自報
MMLU-Pro69.0%自報
TruthfulQA57.8%自報
TheoremQA44.1%自報

General

MBPP0.84 / 100自報
MMLU-Redux83.9%自報
MultiPL-E75.4%自報
ARC-C70.4%自報
MBPP+67.2%自報

Language

BBH84.5%自報
Winogrande82.0%自報

Math

GSM8k95.9%自報
MATH83.1%自報

Reasoning

HellaSwagAI2 (2019)85.2%自報
HumanEval+52.4%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
7.2
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.2
Scicode(UIUC + Argonne National Lab (2024))
0.2
Aime(MAA (Mathematical Association of America))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Code
90
Math
80
Language
80
Legal
70
Reasoning
70
General
70
Healthcare
70
Finance
60
Physics
50
Biology
50
Chemistry
50

定價

輸入價格免費
輸出價格免費
混合價格(3:1)免費

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

2 個供應商

最便宜: Alibaba (China)最貴: Alibaba
供應商輸入輸出
1Alibaba (China)最便宜
$0.287
$0.861
2Alibaba
$0.7
$2.8

比較該模型在不同 API 供應商之間的定價。

外部連結