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DeepSeek V4.1 Flash 1017 vs Qwen3.7 Max

DeepSeek V4.1 Flash 1017 leads Qwen3.7 Max on coding, 70.3 to 54.1 on the Vibe Coding Index, and DeepSeek V4.1 Flash 1017 costs 7.4x less per output token ($0.60 vs $4.425 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash 1017 Replace Qwen3.7 Max
DeepSeek V4.1 Flash 1017DeepSeek
Coding
70.3
Overall
67.6
Output $/M
$0.60
27
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
1
vs boards won of 28 shared

DeepSeek V4.1 Flash 1017 or Qwen3.7 Max: which to pick

Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.

Pick Qwen3.7 Max for work measured by SimpleQA Verified, where it leads.

Model ADeepSeek V4.1 Flash 1017DeepSeek70.3/1004 independent benchmarksNo cost per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
28
DeepSeek V4.1 Flash 1017 only
11
Qwen3.7 Max only
31
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 1017 70.3 from 4 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Coding, 20.3 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 1017 87.7% against Qwen3.7 Max 47.7%, 40.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash 1017 $0.60 against Qwen3.7 Max $4.425 per million output tokens, 7.4x apart.
Context window
DeepSeek V4.1 Flash 1017 takes 1.05M tokens, Qwen3.7 Max 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 Flash 1017BarsQwen3.7 MaxTies
Coding70
Intelligence10
Agentic work40
Reasoning40
Math30
Knowledge01
Web design70
General10
All shared boards271
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
LiveBench coding96.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LMArena WebDev16641515DeepSeek V4.1 Flash 1017
AA Coding IndexNot measured66.0Only Qwen3.7 Max measured
LiveCodeBench (Vals AI)Not measured87.1%Only Qwen3.7 Max measured
SWE-bench Verified (Vals AI)Not measured68.8%Only Qwen3.7 Max measured
Terminal-Bench 4 (Vals AI)31.8%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Vibe Code Bench (Vals AI)87.7%47.7%DeepSeek V4.1 Flash 1017
Code migration (Vals AI)44.2%13.1%DeepSeek V4.1 Flash 1017
Terminal-Bench 2.1 (Vals AI)Not measured61.0%Only Qwen3.7 Max measured
SciCode55.9%49.5%DeepSeek V4.1 Flash 1017
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
ALE-Bench1622.01189.4DeepSeek V4.1 Flash 1017
LMArena WebDev: React16671514DeepSeek V4.1 Flash 1017
LMArena WebDev: HTML16871512DeepSeek V4.1 Flash 1017
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
AA Intelligence Index39.529.5DeepSeek V4.1 Flash 1017
Epoch Capabilities IndexNot measured154.0Only Qwen3.7 Max measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
AA Agentic IndexNot measured22.5Only Qwen3.7 Max measured
Design Arena: agents building web appsNot measured1208Only Qwen3.7 Max measured
Design Arena: agents building full-stack appsNot measured1191Only Qwen3.7 Max measured
Design Arena: agents building mobile appsNot measured1155Only Qwen3.7 Max measured
Design Arena: agents building Android appsNot measured1159Only Qwen3.7 Max measured
Design Arena: agents building Godot gamesNot measured1187Only Qwen3.7 Max measured
Design Arena: agents building gamesNot measured1161Only Qwen3.7 Max measured
Design Arena: HTML slidesNot measured1108Only Qwen3.7 Max measured
Design Arena: PowerPoint slidesNot measured1171Only Qwen3.7 Max measured
Design Arena: spreadsheets1245Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench research79.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench browser76.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench long agentic50.9%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Finance Agent (Vals AI)57.0%47.8%DeepSeek V4.1 Flash 1017
Tax Agent Bench (Vals AI)44.4%15.8%DeepSeek V4.1 Flash 1017
Legal Research Bench (Vals AI)45.2%25.5%DeepSeek V4.1 Flash 1017
Harvey's Legal Agent Benchmark (Vals AI)14.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Excel Modeling Benchmark (Vals AI)61.8%57.0%DeepSeek V4.1 Flash 1017
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
GPQA DiamondNot measured90.2%Only Qwen3.7 Max measured
LiveBench reasoning89.1%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
GPQA Diamond (Artificial Analysis run)Not measured92.3%Only Qwen3.7 Max measured
Humanity's Last Exam (Artificial Analysis run)43.3%40.5%DeepSeek V4.1 Flash 1017
GPQA Diamond (Epoch AI run)93.2%90.9%DeepSeek V4.1 Flash 1017
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzles46.0%26.0%DeepSeek V4.1 Flash 1017
Mystery game puzzles49.0%32.0%DeepSeek V4.1 Flash 1017
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
OTIS Mock AIME99.4%95.6%DeepSeek V4.1 Flash 1017
FrontierMath, tiers 1 to 371.2%64.6%DeepSeek V4.1 Flash 1017
FrontierMath, tier 446.3%34.1%DeepSeek V4.1 Flash 1017
ProofBenchNot measured26.0%Only Qwen3.7 Max measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
MMLU ProNot measured89.3%Only Qwen3.7 Max measured
LegalBench (Vals AI)Not measured84.9%Only Qwen3.7 Max measured
CorpFin (Vals AI)Not measured63.7%Only Qwen3.7 Max measured
TaxEval (Vals AI)Not measured75.3%Only Qwen3.7 Max measured
MedCode (Vals AI)Not measured38.8%Only Qwen3.7 Max measured
SimpleQA Verified42.5%55.8%Qwen3.7 Max
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
Design Arena: websites13111274DeepSeek V4.1 Flash 1017
Design Arena: UI components13031267DeepSeek V4.1 Flash 1017
Design Arena: game dev13571264DeepSeek V4.1 Flash 1017
Design Arena: data viz13301275DeepSeek V4.1 Flash 1017
Design Arena: 3D13581265DeepSeek V4.1 Flash 1017
Design Arena: all code categories13321275DeepSeek V4.1 Flash 1017
Design Arena: SVGNot measured1216Only Qwen3.7 Max measured
Design Arena: ASCII art12421211DeepSeek V4.1 Flash 1017
LiveBench design83.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
Vals Index61.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench data analysis79.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
MedScribe (Vals AI)Not measured79.4%Only Qwen3.7 Max measured
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)82.7%79.0%DeepSeek V4.1 Flash 1017
DTBenchNot measured92.3%Only Qwen3.7 Max measured
LMCANot measured44.0%Only Qwen3.7 Max measured
Neither model has a result on the other 39 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 1017 and Qwen3.7 Max
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.7 MaxLeader
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 1017$0.0004Fits in one request
Qwen3.7 Max$0.0037Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash 1017$0.0093Fits in one request
Qwen3.7 Max$0.087Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash 1017$0.036Fits in one request
Qwen3.7 Max$0.339Fits in one request

DeepSeek V4.1 Flash 1017 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 1017 and Qwen3.7 Max
SpecificationDeepSeek V4.1 Flash 1017Qwen3.7 Max
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedOctober 17, 2026May 21, 2026
Context window1.05M1M
Input $/Mtok$0.15$1.475
Output $/Mtok$0.60$4.425
Coding index70.354.1
Independent measurements behind it43
Cost per solved taskNot computable$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash 1017 better than Qwen3.7 Max for coding?

Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for work measured by SimpleQA Verified, where it leads.

Which is cheaper, DeepSeek V4.1 Flash 1017 or Qwen3.7 Max?

DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Cost per solved task is known for Qwen3.7 Max only.

Which has the bigger context window, DeepSeek V4.1 Flash 1017 or Qwen3.7 Max?

DeepSeek V4.1 Flash 1017, with 1.05M tokens against 1M.

How many benchmarks is the DeepSeek V4.1 Flash 1017 vs Qwen3.7 Max comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 independent benchmarks and Qwen3.7 Max'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-1017-vs-qwen3-7-max">LLMBenchmark.ai, DeepSeek V4.1 Flash 1017 vs Qwen3.7 Max</a></p>