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AITier

DeepSeek V3 (Dec '24)

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
2024-12-26
参数规模
671.0B
上下文长度
—
支持模态
text

能力雷达图

31
general
29
coding
38
reasoning
38
science
35
agents
0
multimodal

排行榜排名

领域#排名分数来源
代码能力榜355
29.0
AA
通用能力榜362
36.0
AA
科学能力357
39.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)59.1%自报

Code

Aider-Polyglot Edit79.7%自报
Aider-Polyglot49.6%自报
SWE-Bench Verified42.0%自报
LiveCodeBench37.6%自报

Factuality

SimpleQA24.9%自报

Finance

MMLU88.5%自报
MMLU-Pro75.9%自报

General

MMLU-Redux89.1%自报
C-Eval86.5%自报
IFEvalGoogle Research (2023)86.1%自报
CSimpleQA64.8%自报
LongBench v248.7%自报

Language

CLUEWSC90.9%自报

Math

DROP91.6%自报
MATH-50090.2%自报
CNMO 202443.2%自报
AIME 202439.2%自报

Reasoning

HumanEval-Mul82.6%自报
FRAMES73.3%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
26.0
Coding Index(Artificial Analysis)
23.0
Intelligence Index(Artificial Analysis)
14.2
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))
0.6
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Ifbench(Google Research (2023))
0.3
Lcr(Artificial Analysis)
0.3
Aime 25(MAA (Mathematical Association of America))
0.3
Aime(MAA (Mathematical Association of America))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Terminalbench V2 1
0.2
Terminalbench Hard(Stanford × Laude Institute (2026))
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))
Instruction Following
90
Legal
80
Language
80
Finance
80
Healthcare
80
Math
70
Reasoning
70
Structured Output
70
General
70
Physics
60
Biology
60
Chemistry
60
Long Context
50
Code
50
Frontend Development
40
Factuality
20

定价

输入价格$0.36 / 1M tokens
输出价格$0.89 / 1M tokens
混合价格(3:1)$0.493 / 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

3 个供应商

最便宜: Alibaba (China)最贵: Helicone
供应商输入输出
1Alibaba (China)最便宜
$0.287
$1.147
2DeepSeek主要
$0.36
$0.89
3Helicone
$0.56
$1.68

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM StatsArtificial Analysis