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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

31
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345
29.0
AA
通用能力榜351
36.0
AA
科學能力350
39.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)59.1%自報

Code

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

Factuality

SimpleQA24.9%自報

Finance

MMLU88.5%自報
MMLU-Pro75.9%自報

General

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

Language

CLUEWSC90.9%自報

Math

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

Reasoning

HumanEval-Mul82.6%自報
FRAMES73.3%自報

AA 評測指數

(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 分類評分

(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

定價

輸入價格$0.36 / 1M tokens
輸出價格$0.89 / 1M tokens
混合價格(3:1)$0.493 / 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

3 個供應商

最便宜: Alibaba (China)最貴: Helicone
供應商輸入輸出
1Alibaba (China)最便宜
$0.287
$1.147
2DeepSeek主要
$0.36
$0.89
3Helicone
$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