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DeepSeek V3.1 vs Qwen3.7 Max

Qwen3.7 Max leads DeepSeek V3.1 on the Artificial Analysis Intelligence Index, 29.5 to 13.7, and DeepSeek V3.1 costs 2.9x less per output token ($1.50 vs $4.425 per million). Updated October 21, 2026; 10 benchmarks have a result for both.

Replace DeepSeek V3.1 Replace Qwen3.7 Max
DeepSeek V3.1DeepSeek
Coding
No data
Overall
No data
Output $/M
$1.50
0
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
10
vs boards won of 10 shared

DeepSeek V3.1 or Qwen3.7 Max: which to pick

Only Qwen3.7 Max has a coding score, 54.1 on the Vibe Coding Index; DeepSeek V3.1 has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 for output tokens 2.9x cheaper ($1.50 vs $4.425 per million).

Model ADeepSeek V3.1DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
10
DeepSeek V3.1 only
1
Qwen3.7 Max only
49
Like-for-like categories
3 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 V3.1 not benchmarked, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Web design, 23.2 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: SVG: DeepSeek V3.1 967 against Qwen3.7 Max 1217, 31.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 $1.50 against Qwen3.7 Max $4.425 per million output tokens, 2.9x apart.
Context window
DeepSeek V3.1 takes 164K 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 V3.1BarsQwen3.7 MaxTies
Intelligence01
Web design07
General02
All shared boards010
CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards, none shared
Coding benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 MaxLeader
LMArena WebDevNot measured1515Only Qwen3.7 Max measured
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
Vibe Code Bench (Vals AI)Not measured47.7%Only Qwen3.7 Max measured
Code migration (Vals AI)Not measured13.1%Only Qwen3.7 Max measured
Terminal-Bench 2.1 (Vals AI)Not measured61.0%Only Qwen3.7 Max measured
SciCodeNot measured49.5%Only Qwen3.7 Max measured
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
ALE-BenchNot measured1189.4Only Qwen3.7 Max measured
LMArena WebDev: ReactNot measured1514Only Qwen3.7 Max measured
LMArena WebDev: HTMLNot measured1512Only Qwen3.7 Max measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 MaxLeader
AA Intelligence Index13.729.5Qwen3.7 Max
Epoch Capabilities IndexNot measured154.0Only Qwen3.7 Max measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 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 measured1158Only Qwen3.7 Max measured
Design Arena: PowerPoint slidesNot measured1197Only Qwen3.7 Max measured
Finance Agent (Vals AI)Not measured47.8%Only Qwen3.7 Max measured
Tax Agent Bench (Vals AI)Not measured15.8%Only Qwen3.7 Max measured
Legal Research Bench (Vals AI)Not measured25.5%Only Qwen3.7 Max measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Qwen3.7 Max measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Reasoning benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 MaxLeader
GPQA DiamondNot measured90.2%Only Qwen3.7 Max measured
GPQA Diamond (Artificial Analysis run)Not measured92.3%Only Qwen3.7 Max measured
Humanity's Last Exam (Artificial Analysis run)Not measured40.5%Only Qwen3.7 Max measured
GPQA Diamond (Epoch AI run)Not measured90.9%Only Qwen3.7 Max measured
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzlesNot measured26.0%Only Qwen3.7 Max measured
Mystery game puzzlesNot measured32.0%Only Qwen3.7 Max measured
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
Kagi LLM Benchmark53.2%Not measuredOnly DeepSeek V3.1 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 MaxLeader
OTIS Mock AIMENot measured95.6%Only Qwen3.7 Max measured
FrontierMath, tiers 1 to 3Not measured64.6%Only Qwen3.7 Max measured
FrontierMath, tier 4Not measured34.1%Only Qwen3.7 Max measured
ProofBenchNot measured26.0%Only Qwen3.7 Max measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 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 VerifiedNot measured55.8%Only Qwen3.7 Max measured
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 MaxLeader
Design Arena: websites11231274Qwen3.7 Max
Design Arena: UI components10851270Qwen3.7 Max
Design Arena: game dev10841265Qwen3.7 Max
Design Arena: data viz10951275Qwen3.7 Max
Design Arena: 3D10771266Qwen3.7 Max
Design Arena: all code categories11121275Qwen3.7 Max
Design Arena: SVG9671217Qwen3.7 Max
Design Arena: ASCII artNot measured1211Only Qwen3.7 Max measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 MaxLeader
MedScribe (Vals AI)Not measured79.4%Only Qwen3.7 Max measured
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)Not measured79.0%Only Qwen3.7 Max measured
DTBench82.7%92.3%Qwen3.7 Max
LMCA24.3%44.0%Qwen3.7 Max
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 and Qwen3.7 Max
BenchmarkDeepSeek V3.1Qwen3.7 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 V3.1$0.0013Fits in one request
Qwen3.7 Max$0.0037Fits in one request

DeepSeek V3.1 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1$0.032Fits in one request
Qwen3.7 Max$0.087Fits in one request

DeepSeek V3.1 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1$0.125Exceeds the context window
Qwen3.7 Max$0.339Fits in one request

DeepSeek V3.1 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 V3.1 and Qwen3.7 Max
SpecificationDeepSeek V3.1Qwen3.7 Max
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedAugust 21, 2025May 21, 2026
Context window164K1M
Input $/Mtok$0.55$1.475
Output $/Mtok$1.50$4.425
Coding indexNot benchmarked54.1
Independent measurements behind it03
Cost per solved taskNot computable$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 better than Qwen3.7 Max for coding?

Only Qwen3.7 Max has a coding score, 54.1 on the Vibe Coding Index; DeepSeek V3.1 has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 for output tokens 2.9x cheaper ($1.50 vs $4.425 per million).

Which is cheaper, DeepSeek V3.1 or Qwen3.7 Max?

DeepSeek V3.1 costs $0.55 per million input tokens and $1.50 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 V3.1 or Qwen3.7 Max?

Qwen3.7 Max, with 1M tokens against 164K.

How many benchmarks is the DeepSeek V3.1 vs Qwen3.7 Max comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.1's coding index rests on 0 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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