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DeepSeek V4.1 Flash

by DeepSeek · Released Sep 2026

Multimodal1M Context
61.7
avg score
Rank #80
Compare
Better than 75% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.15
Output $/1M
$0.60
Type
multimodal
License
Proprietary
Benchmarks
23 tested
Data as of
About

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

Tested on 23 benchmarks · BenchGecko score 61.7. Top scores: OTIS Mock AIME 2024-2025 (98.3%), ARC-AGI (94.5%), GPQA diamond (86.5%).

Looking for similar performance at lower cost?
Claude Haiku 5.5 scores 62.3 (101% as good) at $0.10/1M input · 33% cheaper
Capabilities
coding
43.9
#128 globally
reasoning
83.7
#15 globally
math
64.2
#71 globally
knowledge
58.2
#71 globally
agentic
39.5
#41 globally
speed
51.6
#27 globally
general
47.0
#42 globally
Benchmark Scores
Compare All
Tested on 23 benchmarks · Ranked across 7 categories
Score Distribution (all 319 models)
0255075100
▲ You are here
codingCompare coding →
Frontiercode
43.9·
reasoningCompare reasoning →
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

94.5·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

72.9·
mathCompare math →
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

98.3·
FrontierMath-Tiers-1-3-v2-Private
67.4·
FrontierMath-Tier-4-v2-Private
26.8·
Quick compare:vs PaLM 2-SxAI logovs Grok 4.5Microsoft logovs phi-3-mini 3.8B
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · DeepSeek DeepSeek V4.1
Sep 2026
61.7
$0.15/M in1.0Mctx23 benchmarks
Sep 2026
$0.11/M in(-0.04)1.0Mctx
See the full DeepSeek V4.1 family →
Recently Happened
DeepSeek V4.1 Flash added
Sep 11, 2026
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Links
Info
DeepSeekPricing explorerDevelopers · API
Research
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Documentation
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Community
@DeepSeek
BenchGecko API
deepseek-v4-1-flash
Specifications
  • Typemultimodal
  • Context1.0M tokens (~524 books)
  • ReleasedSep 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.001
Available On
DeepSeek logoDeepSeek$0.15
Categories
codingreasoningmathknowledgeagenticspeedgeneral
Learn More
context-windowtransformertokens
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Related Models
PaLM 2-S
61.7
xAI logoGrok 4.5
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Microsoft logoWizardLM-2 8x22B
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DeepSeek V4.1 Flash is a proprietary multimodal AI model by DeepSeek, released in September 2026. It has an average benchmark score of 61.7. Context window: 1M tokens.

Related Models

PaLM 2-S · UnknownGrok 4.5 · xAIphi-3-mini 3.8B · MicrosoftWizardLM-2 8x22B · MicrosoftQwen3.6 27B · Alibaba Qwen

Benchmarks

OTIS Mock AIME 2024-2025ARC-AGIGPQA diamondArtificial Analysis · Long Context ReasoningDtbench

Related Pages

DeepSeek · ProviderDeepSeek · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-16

  • DeepSeek V4.1 Flash by DeepSeek. BenchGecko score 61.7, rank 80 of 319 scored models (normalized average of public benchmark scores).
  • List price $0.15 input · $0.60 output per 1M tokens (as of 2026-10-16).
  • Sold by 35 providers (as of 2026-10-16): OpenInference (fp4) $0.0360 in / $0.68 out · Morph (fp8) $0.0400 in / $0.70 out · Decart (fp4) $0.0900 in / $0.18 out · Sail Research (fp4) $0.0900 in / $0.30 out · Cloudflare $0.10 in / $0.90 out · and 30 more. Every provider
  • Gecko Tests · Gecko Score 12 (rank 20): Who Are You E (Sometimes says it is OpenAI) · Censorship Index E (Refuses or dodges 6%) · Tokenizer Tax D (68% more tokens outside English).

How to cite · data as of 2026-10-16

DeepSeek V4.1 Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/deepseek-v4-1-flash

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP