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DeepSeek V4.1 Flash (Reasoning, Max Effort)

DeepSeekDeepSeekOpen WeightMIT · Usage Commercial

Description

DeepSeek-V4.1-Flash is an MIT-licensed multimodal Mixture-of-Experts model accepting images and text and generating text. It has 552B backbone parameters, 196B Engram conditional-memory parameters, and approximately 763B parameters in the released checkpoint. Its causal encoder-decoder architecture activates 8B parameters per token during prefill and 16B during decode. Trained on 45T multimodal tokens, it supports a 1M-token context, up to 384K output tokens on the DeepSeek API, and continuously adjustable reasoning effort from 1 to 100. CSA2 attention and FP4 KV caching reduce global KV cache storage to 890 bytes per token. The API model name is deepseek-flash. Catalog prices are peak rates per million tokens: $0.30 input, $0.006 cached input, and $1.20 output. Off-peak rates are $0.15, $0.003, and $0.60 respectively, effective September 10, 2026 at 04:00 UTC. Peak hours are 01:00–04:00 and 06:00–10:00 UTC on weekdays; all other times are off-peak (the launch pricing announcement also lists public holidays as off-peak).

Date de sortie
2026-09-10
Paramètres
763.2B
Longueur du contexte
1.0M
Modalités
image, text

Radar de capacités

39
general
52
coding
100
reasoning
47
science
50
agents
70
multimodal

Classements

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

SEC-bench Pro62.8%Aut.
AutomationBench54.8%Aut.
Agents' Last Exam31.8%Aut.
Program Bench20.3%Aut.
ExploitGym15.3%Aut.

Code

CyberGym88.1%Aut.
DeepSWE 1.174.2%Aut.
NL2Repo64.0%Aut.

Math

CodeForces3471.00 / 3000Aut.
MathArena Apex65.6%Aut.

Reasoning

GPQANYU + Cohere + Anthropic (2023)90.9%Aut.
Terminal-Bench 2.190.6%Aut.
Humanity's Last Exam (with tools)63.9%Aut.
Humanity's Last Exam (no tools, text-only)39.1%Aut.
Humanity's Last Exam36.8%Aut.
Terminal-Bench 4.031.2%Aut.
Terminal-Bench 3.030.0%Aut.

Vision

BabyVision89.6%Aut.
Chartography78.9%Aut.
ZEROBench0.49 / 100Aut.

Indices d'évaluation AA

(Artificial Analysis)
Lcr(Artificial Analysis)
84.0
Scicode(UIUC + Argonne National Lab (2024))
51.9
Intelligence Index(Artificial Analysis)
39.5
Hle(Center for AI Safety + Scale AI (2025))
39.2

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Math
100
Reasoning
100
General
100
Physics
90
Biology
90
Chemistry
90
Multimodal
70
Safety
60
Vision
60
Agents
50
Code
50
Tool Calling
50

Tarification

Prix d'entrée$0.3 / 1M tokens
Prix de sortie$1.2 / 1M tokens
Prix mixte (3:1)$0.525 / 1M tokens
Prix de lecture cache$0.003 / 1M tokens

Vitesse

Tokens/sec267.1
Délai du premier token0.90s
Temps de réponse8.38s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

13 fournisseurs

Moins cher: FireworksPlus cher: Venice AI
FournisseurEntréeSortie
1FireworksMoins cher
$0
$0
2DeepSeek
$0
$0
3Novita
$0
$0
4DeepInfra
$0
$0
5NanoGPT
$0.15
$0.6
6OpenRouter
$0.15
$0.6
7Merge Gateway
$0.15
$0.6
8LLM Gateway
$0.15
$0.6
9CrossModel
$0.27
$1.08
10Kilo Gateway
$0.3
$1.2
11Vercel AI Gateway
$0.3
$1.2
12Ofox
$0.3
$1.2
13Venice AI
$0.375
$1.5

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes