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DeepSeek V3 0324

DeepSeekDeepSeek开源权重MIT + Model License (Commercial use allowed)

描述

A powerful Mixture-of-Experts (MoE) language model with 671B total parameters (37B activated per token). Features Multi-head Latent Attention (MLA), auxiliary-loss-free load balancing, and multi-token prediction training. Pre-trained on 14.8T tokens with strong performance in reasoning, math, and code tasks.

发布日期
2025-03-25
参数规模
671.0B
上下文长度
164K
支持模态
text

能力雷达图

34
general
29
coding
54
reasoning
43
science
47
agents
0
multimodal

排行榜排名

领域#排名分数来源
代码能力榜326
34.0
AA
通用能力榜289
45.0
AA
科学能力314
44.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)68.4%自报

Code

LiveCodeBench49.2%自报

Finance

MMLU-Pro81.2%自报

Math

MATH-50094.0%自报
AIME 202459.4%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
41.0
Coding Index(Artificial Analysis)
21.2
Intelligence Index(Artificial Analysis)
15.2
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Aime(MAA (Mathematical Association of America))
0.5
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Lcr(Artificial Analysis)
0.4
Ifbench(Google Research (2023))
0.4
Aime 25(MAA (Mathematical Association of America))
0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Terminalbench V2 1
0.1
Tau Banking
0.0
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分类评分

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

定价

输入价格$0.27 / 1M tokens
输出价格$1.12 / 1M tokens
混合价格(3:1)$0.483 / 1M tokens
缓存读取价格$0.135 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

4 个供应商

最便宜: NanoGPT最贵: Kilo Gateway
供应商输入输出
1NanoGPT最便宜
$0.2
$0.77
2DeepSeek主要
$0.27
$1.12
3OpenRouter
$0.27
$1.12
4Kilo Gateway
$0.27
$1.12

比较该模型在不同 API 供应商之间的定价。

外部链接