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AITier

DeepSeek V3 (Dec '24)

DeepSeekDeepSeek開源權重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.

發布日期
2024-12-26
參數規模
671.0B
上下文長度
—
支援模態
text

能力雷達圖

28
general
29
coding
38
reasoning
38
science
35
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜441
28.0
AA
通用能力榜434
32.0
AA
科學能力426
35.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)86.1%自報

Factuality

SimpleQA24.9%自報

General

MMLU88.5%自報
C-Eval86.5%自報
Aider-Polyglot Edit79.7%自報
CSimpleQA64.8%自報
Aider-Polyglot49.6%自報

Language

CLUEWSC90.9%自報
MMLU-Redux89.1%自報
MMLU-Pro75.9%自報

Long Context

LongBench v248.7%自報

Math

MATH-50090.2%自報
CNMO 202443.2%自報
AIME 202439.2%自報

Reasoning

DROP91.6%自報
HumanEval-Mul82.6%自報
FRAMES73.3%自報
GPQANYU + Cohere + Anthropic (2023)59.1%自報
SWE-Bench Verified42.0%自報
LiveCodeBench37.6%自報

AA 評測指數

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
88.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
75.2
Gpqa(NYU + Cohere + Anthropic (2023))
55.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
35.9
Scicode(UIUC + Argonne National Lab (2024))
35.8
Ifbench(Google Research (2023))
34.8
Lcr(Artificial Analysis)
29.3
Math Index(Artificial Analysis)
26.0
Aime 25(MAA (Mathematical Association of America))
26.0
Aime(MAA (Mathematical Association of America))
25.3
Coding Index(Artificial Analysis)
23.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
22.8
Terminalbench V2 1
16.9
Intelligence Index(Artificial Analysis)
8.5
Terminalbench Hard(Stanford × Laude Institute (2026))
6.8
Tau Banking
4.7
Hle(Center for AI Safety + Scale AI (2025))
2.9
Terminalbench V4 0
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Chat
90
Instruction Following
90
Language
80
Legal
80
Finance
80
Healthcare
80
Math
70
Reasoning
70
Search
70
Structured Output
70
General
70
Physics
60
Biology
60
Chemistry
60
Long Context
50
Code
50
Frontend Development
40
Factuality
20

定價

輸入價格$0.32 / 1M tokens
輸出價格$0.89 / 1M tokens
混合價格(3:1)$0.463 / 1M tokens

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

4 個供應商

最便宜: DeepInfra最貴: Helicone
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2Alibaba (China)
$0.287
$1.147
3DeepSeek主要
$0.32
$0.89
4Helicone
$0.56
$1.68

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM StatsArtificial Analysis