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DeepSeek V3.1 (Non-reasoning)

DeepSeekDeepSeek开源权重MIT · 商用许可

描述

DeepSeek-V3.1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. Built on DeepSeek-V3.1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated. Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations. The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.

发布日期
2025-08-21
参数规模
671.0B
上下文长度
164K
支持模态
text

能力雷达图

38
general
53
coding
54
reasoning
47
science
30
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜129
33.0
LS
代码能力榜217
52.0
AA
通用能力榜276
46.0
AA
科学能力252
49.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Terminal-Bench31.3%自报
BrowseCompOpenAI (2025)30.0%自报

Biology

GPQANYU + Cohere + Anthropic (2023)74.9%自报

Code

Aider-Polyglot68.4%自报
SWE-Bench Verified66.0%自报
LiveCodeBench56.4%自报
SWE-bench Multilingual54.5%自报

Factuality

SimpleQA93.4%自报

Finance

MMLU-Pro83.7%自报

General

MMLU-Redux91.8%自报

Math

CodeForces0.70 / 3000自报
AIME 202466.3%自报
AIME 202549.8%自报
HMMT 202533.5%自报
Humanity's Last Exam15.9%自报

Reasoning

BrowseComp-zh49.2%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
49.7
Intelligence Index(Artificial Analysis)
21.4
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.6
Aime 25(MAA (Mathematical Association of America))
0.5
Lcr(Artificial Analysis)
0.5
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats 分类评分

(LLM Stats (zeroeval))
Language
90
Factuality
90
Legal
80
Finance
80
Healthcare
80
Physics
70
Frontend Development
70
Biology
70
Chemistry
70
Math
60
Reasoning
60
General
60
Code
60
Search
40
Agents
30
Vision
20

定价

输入价格$0.56 / 1M tokens
输出价格$1.68 / 1M tokens
混合价格(3:1)$0.84 / 1M tokens
缓存读取价格$0.13 / 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

2 个供应商

最便宜: DeepSeek最贵: Alibaba (China)
供应商输入输出
1DeepSeek主要
$0.56
$1.68
2Alibaba (China)
$0.574
$1.721

比较该模型在不同 API 供应商之间的定价。

外部链接