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DeepSeek V3.1 (Non-reasoning)

DeepSeekDeepSeekOpen WeightMIT · Commercial OK

Description

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.

Release Date
2025-08-21
Parameters
671.0B
Context Length
164K
Modalities
text

Capability Radar

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

Rankings

Domain#RankScoreSource
Agentic Capability129
33.0
LS
Code Ranking217
52.0
AA
General Ranking276
46.0
AA
Science252
49.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)74.9%SR

Code

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

Factuality

SimpleQA93.4%SR

Finance

MMLU-Pro83.7%SR

General

MMLU-Redux91.8%SR

Math

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

Reasoning

BrowseComp-zh49.2%SR

AA Evaluation Indices

(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 Category Scores

(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

Pricing

Input Price$0.56 / 1M tokens
Output Price$1.68 / 1M tokens
Blended Price (3:1)$0.84 / 1M tokens
Cache Read Price$0.13 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

2 providers

Cheapest: DeepSeekMost Expensive: Alibaba (China)
ProviderInputOutput
1DeepSeekPRIMARY
$0.56
$1.68
2Alibaba (China)
$0.574
$1.721

Compare pricing across different API providers for this model.

External Sources