DeepSeek R1 0528 (May '25)
DeepSeekDeepSeekOpen WeightMIT · Usage Commercial
Description
DeepSeek-R1-0528 is the May 28, 2025 version of DeepSeek's reasoning model. It features advanced thinking capabilities and serves as a benchmark comparison for newer models like DeepSeek-V3.1. This model excels in complex reasoning tasks, mathematical problem-solving, and code generation through its thinking mode approach.
Date de sortie
2025-05-28
Paramètres
671.0B
Longueur du contexte
164K
Modalités
text
Radar de capacités
39
general
69
coding
83
reasoning
54
science
10
agents
0
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 143 | 25.0 | LS |
| Classement codage | 169 | 59.0 | AA |
| Classement général | 266 | 46.0 | AA |
| Science | 163 | 59.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
80.2%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
46.4%Aut.
Toolathlon
35.2%Aut.
BrowseCompOpenAI (2025)
8.9%Aut.
Terminal-Bench
5.7%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
81.0%Aut.
Code
LiveCodeBench
73.3%Aut.
Aider-Polyglot
71.6%Aut.
SWE-Bench Verified
44.6%Aut.
SWE-bench Multilingual
30.5%Aut.
Factuality
SimpleQA
92.3%Aut.
Finance
MMLU-Pro
85.0%Aut.
General
MMLU-Redux
93.4%Aut.
Math
AIME 2024
91.4%Aut.
AIME 2025
87.5%Aut.
HMMT 2025
79.4%Aut.
CodeForces
0.64 / 3000Aut.
Humanity's Last Exam
17.7%Aut.
Reasoning
BrowseComp-zh
35.7%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)76.0
Intelligence Index(Artificial Analysis)20.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Aime(MAA (Mathematical Association of America))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.8
Aime 25(MAA (Mathematical Association of America))0.8
Lcr(Artificial Analysis)0.6
Scicode(UIUC + Argonne National Lab (2024))0.4
Ifbench(Google Research (2023))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.4
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.2
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language90
Factuality90
Legal80
Physics80
Finance80
Healthcare80
Biology80
Chemistry80
Math70
Reasoning60
General60
Code50
Frontend Development40
Search20
Vision20
Agents10
Tarification
Prix d'entrée$1.35 / 1M tokens
Prix de sortie$4.2 / 1M tokens
Prix mixte (3:1)$2.063 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
12 fournisseurs
Moins cher: NanoGPTPlus cher: Merge Gateway
FournisseurEntréeSortie
1NanoGPTMoins cher
$0.4
$1.7
2OpenRouter
$0.5
$2.15
3Alibaba (China)
$0.574
$2.294
4TensorX
$0.66
$2.6
5Jiekou.AI
$0.7
$2.5
6NovitaAI
$0.7
$2.5
7Kilo Gateway
$0.7
$2.5
8DeepSeekPRINCIPAL
$1.35
$4.2
9Azure Cognitive Services
$1.35
$5.4
10Vercel AI Gateway
$1.35
$5.4
11Azure
$1.35
$5.4
12Merge Gateway
$1.35
$5.4
Comparer les prix entre différents fournisseurs API pour ce modèle.