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DeepSeek V4.1 Flash vs Qwen3.6 Plus

DeepSeek V4.1 Flash leads Qwen3.6 Plus on coding, 62.5 to 44.1 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 2.3x less per output token ($0.84 vs $1.95 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

DeepSeek V4.1 FlashDeepSeek
Coding
62.5
Overall
62.4
Output $/M
$0.84
62
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
3
vs boards won of 65 shared

DeepSeek V4.1 Flash or Qwen3.6 Plus: which to pick

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus.

Pick Qwen3.6 Plus for work measured by AA Intelligence Index or LegalBench (Vals AI), where it leads.

Shared results
65
DeepSeek V4.1 Flash only
36
Qwen3.6 Plus only
18
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, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Coding, 21.1 points apart on average over 11 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 84.7% against Qwen3.6 Plus 25.6%, 59.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.84 against Qwen3.6 Plus $1.95 per million output tokens, 2.3x apart.
Context window
DeepSeek V4.1 Flash takes 1.05M tokens, Qwen3.6 Plus 1M.

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 FlashBarsQwen3.6 PlusTies
Coding110
Intelligence11
Agentic work40
Reasoning70
Math40
Knowledge52
Web design80
General220
All shared boards623
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
LiveBench coding90.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev16181461DeepSeek V4.1 Flash
AA Coding IndexNot measured54.5Only Qwen3.6 Plus measured
LiveCodeBench (Vals AI)Not measured86.0%Only Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)Not measured73.4%Only Qwen3.6 Plus measured
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)84.7%25.6%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%11.1%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%0.0%DeepSeek V4.1 Flash
IOI (Vals AI)40.3%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)74.5%53.2%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%Not measuredOnly DeepSeek V4.1 Flash measured
SciCode51.9%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Qwen3.6 Plus measured
FrontierCode43.9%Not measuredOnly DeepSeek V4.1 Flash measured
ALE-Bench1092.3670.1DeepSeek V4.1 Flash
LMArena Text: coding15021467DeepSeek V4.1 Flash
LMArena Text: software and IT14961462DeepSeek V4.1 Flash
LMArena WebDev: React16281454DeepSeek V4.1 Flash
LMArena WebDev: HTML16121463DeepSeek V4.1 Flash
LMArena WebDev: from an image16061472DeepSeek V4.1 Flash
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
AA Intelligence Index24.727.0Qwen3.6 Plus
Epoch Capabilities Index155.9147.3DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
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%40.9%DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)26.6%7.7%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)41.4%14.9%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)57.2%32.9%DeepSeek V4.1 Flash
BioMysteryBench (Vals AI)67.8%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly DeepSeek V4.1 Flash measured
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
τ²-Bench TelecomNot measured97.7%Only Qwen3.6 Plus measured
APEX-Agents39.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
GPQA DiamondNot measured87.4%Only Qwen3.6 Plus 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 measured84.2%Only Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)Not measured88.2%Only Qwen3.6 Plus measured
Humanity's Last Exam (Artificial Analysis run)39.2%27.8%DeepSeek V4.1 Flash
GPQA Diamond (Epoch AI run)89.8%88.4%DeepSeek V4.1 Flash
ARC-AGI94.5%Not measuredOnly DeepSeek V4.1 Flash measured
ARC-AGI-272.9%Not measuredOnly DeepSeek V4.1 Flash measured
Chess puzzles48.0%14.0%DeepSeek V4.1 Flash
Mystery game puzzles43.0%12.0%DeepSeek V4.1 Flash
LMArena Text: hard prompts14831448DeepSeek V4.1 Flash
LMArena Text: expert15011454DeepSeek V4.1 Flash
LMArena Text: hard prompts in English14881455DeepSeek V4.1 Flash
LMArena Vision: diagrams1297Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: homework1307Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIME98.3%93.3%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 367.4%38.2%DeepSeek V4.1 Flash
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4.1 Flash measured
ProofBench54.0%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: math14781449DeepSeek V4.1 Flash
LMArena Text: mathematical work14851448DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
MMLU ProNot measured87.7%Only Qwen3.6 Plus measured
LegalBench (Vals AI)83.3%84.2%Qwen3.6 Plus
CaseLaw (Vals AI)Not measured51.5%Only Qwen3.6 Plus measured
CorpFin (Vals AI)Not measured61.9%Only Qwen3.6 Plus measured
TaxEval (Vals AI)Not measured74.7%Only Qwen3.6 Plus measured
MortgageTax (Vals AI)Not measured68.0%Only Qwen3.6 Plus measured
MedCode (Vals AI)41.2%36.9%DeepSeek V4.1 Flash
SimpleQA Verified42.9%44.1%Qwen3.6 Plus
LMArena Text: science14691439DeepSeek V4.1 Flash
LMArena Text: medicine and healthcare14841442DeepSeek V4.1 Flash
LMArena Text: legal and government14431437DeepSeek V4.1 Flash
LMArena Text: business and finance14611430DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
Design Arena: websites13081243DeepSeek V4.1 Flash
Design Arena: UI components13121230DeepSeek V4.1 Flash
Design Arena: game dev13301211DeepSeek V4.1 Flash
Design Arena: data viz12911228DeepSeek V4.1 Flash
Design Arena: 3D13551202DeepSeek V4.1 Flash
Design Arena: all code categories13201236DeepSeek V4.1 Flash
Design Arena: SVG12451161DeepSeek V4.1 Flash
Design Arena: ASCII art12651113DeepSeek V4.1 Flash
LiveBench design79.2%Not measuredOnly DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
General benchmarks for DeepSeek V4.1 Flash and Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
LiveBench data analysis79.3%Not measuredOnly DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)64.3%Not measuredOnly DeepSeek V4.1 Flash measured
SAGE (Vals AI)47.9%44.9%DeepSeek V4.1 Flash
MedScribe (Vals AI)85.5%77.0%DeepSeek V4.1 Flash
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBenchNot measured75.2%Only Qwen3.6 Plus measured
Long context reasoning (AA-LCR)84.0%78.3%DeepSeek V4.1 Flash
DTBench89.9%81.9%DeepSeek V4.1 Flash
LMCA47.0%33.1%DeepSeek V4.1 Flash
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
Surface Evolver Bench46.3%Not measuredOnly DeepSeek V4.1 Flash measured
Furniture assembly34.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text14641436DeepSeek V4.1 Flash
LMArena Text: instruction following14731424DeepSeek V4.1 Flash
LMArena Text: creative writing14371404DeepSeek V4.1 Flash
LMArena Vision1278Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: English14731445DeepSeek V4.1 Flash
LMArena Text: non-English14491424DeepSeek V4.1 Flash
LMArena Text: Chinese15011477DeepSeek V4.1 Flash
LMArena Text: German14701451DeepSeek V4.1 Flash
LMArena Text: Japanese14321390DeepSeek V4.1 Flash
LMArena Text: Korean14361379DeepSeek V4.1 Flash
LMArena Text: French14651455DeepSeek V4.1 Flash
LMArena Text: Spanish14591432DeepSeek V4.1 Flash
LMArena Text: Russian14671434DeepSeek V4.1 Flash
LMArena Text: Polish14571433DeepSeek V4.1 Flash
LMArena Text: multi-turn14611438DeepSeek V4.1 Flash
LMArena Text: longer queries14731439DeepSeek V4.1 Flash
LMArena Text: writing and language14501418DeepSeek V4.1 Flash
LMArena Text: entertainment and media14451402DeepSeek V4.1 Flash
LMArena Vision: English1288Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: Chinese1327Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: reading text1282Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: humor1260Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: creative writing1275Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 11 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 Qwen3.6 Plus
BenchmarkDeepSeek V4.1 FlashQwen3.6 PlusLeader
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
Qwen3.6 Plus$0.0013Fits 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
Qwen3.6 Plus$0.022Fits 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
Qwen3.6 Plus$0.085Fits 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 Qwen3.6 Plus
SpecificationDeepSeek V4.1 FlashQwen3.6 Plus
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedSeptember 10, 2026April 2, 2026
Context window1.05M1M
Input $/Mtok$0.2225$0.325
Output $/Mtok$0.84$1.95
Coding index62.544.1
Independent measurements behind it53
Cost per solved taskNot computable$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than Qwen3.6 Plus for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus. Pick Qwen3.6 Plus for work measured by AA Intelligence Index or LegalBench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4.1 Flash or Qwen3.6 Plus?

DeepSeek V4.1 Flash costs $0.2225 per million input tokens and $0.84 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.

Which has the bigger context window, DeepSeek V4.1 Flash or Qwen3.6 Plus?

DeepSeek V4.1 Flash, with 1.05M tokens against 1M.

How many benchmarks is the DeepSeek V4.1 Flash vs Qwen3.6 Plus comparison based on?

65 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 Qwen3.6 Plus's on 3. 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-qwen3-6-plus">LLMBenchmark.ai, DeepSeek V4.1 Flash vs Qwen3.6 Plus</a></p>