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DeepSeek V4.1 Flash vs Gemini 3.6 Flash

DeepSeek V4.1 Flash and Gemini 3.6 Flash tie on coding at 62.5 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 4.5x less per output token ($0.84 vs $3.75 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash Replace Gemini 3.6 Flash
DeepSeek V4.1 FlashDeepSeek
Coding
62.5
Overall
62.4
Output $/M
$0.84
42
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
43
vs boards won of 85 shared

DeepSeek V4.1 Flash or Gemini 3.6 Flash: which to pick

DeepSeek V4.1 Flash and Gemini 3.6 Flash are level for coding, 62.5 against 62.5 on the Vibe Coding Index, so price and context decide.

Pick Gemini 3.6 Flash for work measured by SciCode or AA Intelligence Index, where it leads. Pick DeepSeek V4.1 Flash for output tokens 4.5x cheaper ($0.84 vs $3.75 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Model ADeepSeek V4.1 FlashDeepSeek62.5/1005 independent benchmarksNo cost per solved taskModel BGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task
Shared results
85
DeepSeek V4.1 Flash only
16
Gemini 3.6 Flash only
24
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V4.1 Flash 62.5 from 5 benchmarks, Gemini 3.6 Flash 62.5 from 4 benchmarks.
Widest category
Coding, 9.5 points apart on average over 15 shared benchmarks.
Widest single gap
CyberBench (Vals AI): DeepSeek V4.1 Flash 73.7% against Gemini 3.6 Flash 45.4%, 28.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.84 against Gemini 3.6 Flash $3.75 per million output tokens, 4.5x apart.
Context window
Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V4.1 FlashBarsGemini 3.6 FlashTies
Coding141
Intelligence11
Agentic work34
Reasoning65
Math42
Knowledge16
Web design61
General723
All shared boards4243
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
Coding benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
LiveBench coding90.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev16181538DeepSeek V4.1 Flash
AA Coding IndexNot measured69.2Only Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)Not measured88.1%Only Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)Not measured79.6%Only Gemini 3.6 Flash measured
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)84.7%64.0%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%30.9%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%0.0%DeepSeek V4.1 Flash
IOI (Vals AI)40.3%35.1%DeepSeek V4.1 Flash
Terminal-Bench 2.1 (Vals AI)74.5%73.8%DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)46.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.4%Not measuredOnly DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)69.8%Not measuredOnly DeepSeek V4.1 Flash measured
CyberBench (Vals AI)73.7%45.4%DeepSeek V4.1 Flash
SciCode51.9%53.4%Gemini 3.6 Flash
FrontierCode43.9%34.4%DeepSeek V4.1 Flash
WeirdMLNot measured56.1%Only Gemini 3.6 Flash measured
ALE-Bench1092.3715.5DeepSeek V4.1 Flash
LMArena Text: coding15021491DeepSeek V4.1 Flash
LMArena Text: software and IT14961492DeepSeek V4.1 Flash
LMArena WebDev: React16281528DeepSeek V4.1 Flash
LMArena WebDev: HTML16121547DeepSeek V4.1 Flash
LMArena WebDev: from an image16061545DeepSeek V4.1 Flash
SciCodeNot measured10.8%Only Gemini 3.6 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
AA Intelligence Index24.734.0Gemini 3.6 Flash
Epoch Capabilities Index155.9154.5DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index34
Agentic work benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
AA Agentic IndexNot measured29.0Only Gemini 3.6 Flash measured
Design Arena: agents building web appsNot measured1197Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack appsNot measured1181Only Gemini 3.6 Flash measured
Design Arena: agents building mobile appsNot measured1198Only Gemini 3.6 Flash measured
Design Arena: agents building Android appsNot measured1204Only Gemini 3.6 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.6 Flash measured
Design Arena: HTML slidesNot measured1099Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slidesNot measured1121Only Gemini 3.6 Flash measured
Design Arena: spreadsheetsNot measured1071Only Gemini 3.6 Flash measured
LiveBench research86.8%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench browser84.0%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench long agentic40.1%Not measuredOnly DeepSeek V4.1 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)53.5%56.3%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)26.6%18.0%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)41.4%25.0%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)57.2%65.4%Gemini 3.6 Flash
BioMysteryBench (Vals AI)67.8%58.5%DeepSeek V4.1 Flash
Terminal-Bench-Science (Vals AI)0.0%4.3%Gemini 3.6 Flash
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
APEX-Agents39.5%46.9%Gemini 3.6 Flash
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index65
Reasoning benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
GPQA DiamondNot measured93.4%Only Gemini 3.6 Flash measured
LiveBench reasoning86.7%Not measuredOnly DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)21.2%Not measuredOnly DeepSeek V4.1 Flash measured
MMMU Pro (Vals AI)Not measured88.4%Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured92.8%Only Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)39.2%40.8%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)89.8%94.1%Gemini 3.6 Flash
ARC-AGI94.5%91.2%DeepSeek V4.1 Flash
ARC-AGI-272.9%60.4%DeepSeek V4.1 Flash
Chess puzzles48.0%42.0%DeepSeek V4.1 Flash
Mystery game puzzles43.0%30.0%DeepSeek V4.1 Flash
LMArena Text: hard prompts14831486Gemini 3.6 Flash
LMArena Text: expert15011490DeepSeek V4.1 Flash
LMArena Text: hard prompts in English14881484DeepSeek V4.1 Flash
LMArena Vision: diagrams12971314Gemini 3.6 Flash
LMArena Vision: homework13071314Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
OTIS Mock AIME98.3%94.2%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 367.4%58.9%DeepSeek V4.1 Flash
FrontierMath, tier 426.8%22.0%DeepSeek V4.1 Flash
ProofBench54.0%36.0%DeepSeek V4.1 Flash
LMArena Text: math14781508Gemini 3.6 Flash
LMArena Text: mathematical work14851492Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index16
Knowledge benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
MMLU ProNot measured89.3%Only Gemini 3.6 Flash measured
LegalBench (Vals AI)83.3%86.7%Gemini 3.6 Flash
CorpFin (Vals AI)Not measured63.3%Only Gemini 3.6 Flash measured
TaxEval (Vals AI)Not measured74.9%Only Gemini 3.6 Flash measured
MortgageTax (Vals AI)Not measured67.6%Only Gemini 3.6 Flash measured
MedCode (Vals AI)41.2%53.1%Gemini 3.6 Flash
SimpleQA Verified42.9%66.2%Gemini 3.6 Flash
LMArena Text: science14691489Gemini 3.6 Flash
LMArena Text: medicine and healthcare14841469DeepSeek V4.1 Flash
LMArena Text: legal and government14431479Gemini 3.6 Flash
LMArena Text: business and finance14611464Gemini 3.6 Flash
FACTS Benchmark SuiteNot measured65.3%Only Gemini 3.6 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
Design Arena: websites13081300DeepSeek V4.1 Flash
Design Arena: UI components13121294DeepSeek V4.1 Flash
Design Arena: game dev13301263DeepSeek V4.1 Flash
Design Arena: data viz12911289DeepSeek V4.1 Flash
Design Arena: 3D13551271DeepSeek V4.1 Flash
Design Arena: all code categories13201289DeepSeek V4.1 Flash
Design Arena: SVG1245Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: ASCII art12651281Gemini 3.6 Flash
LiveBench design79.2%Not measuredOnly DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index723
General benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
LiveBench data analysis79.3%Not measuredOnly DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)64.3%56.6%DeepSeek V4.1 Flash
SAGE (Vals AI)47.9%48.7%Gemini 3.6 Flash
MedScribe (Vals AI)85.5%79.7%DeepSeek V4.1 Flash
Vals Multimodal IndexNot measured65.1%Only Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)84.0%80.0%DeepSeek V4.1 Flash
DTBench89.9%95.5%Gemini 3.6 Flash
LMCA47.0%44.9%DeepSeek V4.1 Flash
Surface Evolver Bench46.3%Not measuredOnly DeepSeek V4.1 Flash measured
Furniture assembly34.2%23.3%DeepSeek V4.1 Flash
LMArena Text14641480Gemini 3.6 Flash
LMArena Text: instruction following14731467DeepSeek V4.1 Flash
LMArena Text: creative writing14371466Gemini 3.6 Flash
LMArena Vision12781299Gemini 3.6 Flash
LMArena Text: English14731482Gemini 3.6 Flash
LMArena Text: non-English14491470Gemini 3.6 Flash
LMArena Text: Chinese15011531Gemini 3.6 Flash
LMArena Text: German14701480Gemini 3.6 Flash
LMArena Text: Japanese14321475Gemini 3.6 Flash
LMArena Text: Korean14361429DeepSeek V4.1 Flash
LMArena Text: French14651503Gemini 3.6 Flash
LMArena Text: Spanish14591476Gemini 3.6 Flash
LMArena Text: Russian14671488Gemini 3.6 Flash
LMArena Text: Polish14571473Gemini 3.6 Flash
LMArena Text: multi-turn14611481Gemini 3.6 Flash
LMArena Text: longer queries14731475Gemini 3.6 Flash
LMArena Text: writing and language14501470Gemini 3.6 Flash
LMArena Text: entertainment and media14451456Gemini 3.6 Flash
LMArena Vision: English12881295Gemini 3.6 Flash
LMArena Vision: Chinese13271357Gemini 3.6 Flash
LMArena Vision: reading text12821312Gemini 3.6 Flash
LMArena Vision: humor12601289Gemini 3.6 Flash
LMArena Vision: creative writing12751278Gemini 3.6 Flash
LMArena DocumentNot measured1456Only Gemini 3.6 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4.1 Flash and Gemini 3.6 Flash
BenchmarkDeepSeek V4.1 FlashGemini 3.6 FlashLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V4.1 Flash$0.0006Fits in one request
Gemini 3.6 Flash$0.0026Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.014Fits in one request
Gemini 3.6 Flash$0.049Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.053Fits in one request
Gemini 3.6 Flash$0.188Fits in one request

DeepSeek V4.1 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V4.1 Flash and Gemini 3.6 Flash
SpecificationDeepSeek V4.1 FlashGoogle Gemini 3.6 Flash
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedSeptember 10, 2026July 21, 2026
Context window1.05M1.05M
Input $/Mtok$0.2225$0.75
Output $/Mtok$0.84$3.75
Coding index62.562.5
Independent measurements behind it54
Cost per solved taskNot computable$1.49
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than Gemini 3.6 Flash for coding?

DeepSeek V4.1 Flash and Gemini 3.6 Flash are level for coding, 62.5 against 62.5 on the Vibe Coding Index, so price and context decide. Pick Gemini 3.6 Flash for work measured by SciCode or AA Intelligence Index, where it leads. Pick DeepSeek V4.1 Flash for output tokens 4.5x cheaper ($0.84 vs $3.75 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4.1 Flash or Gemini 3.6 Flash?

DeepSeek V4.1 Flash costs $0.2225 per million input tokens and $0.84 per million output tokens; Gemini 3.6 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, DeepSeek V4.1 Flash or Gemini 3.6 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4.1 Flash vs Gemini 3.6 Flash comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and Gemini 3.6 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-1-flash-vs-gemini-3-6-flash">LLMBenchmark.ai, DeepSeek V4.1 Flash vs Gemini 3.6 Flash</a></p>