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DeepSeek V4 Pro 0423 vs Qwen3.7 Plus

Updated October 21, 2026. 55 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Pro 0423 Replace Qwen3.7 Plus
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
30.4
Output $/M
$2.716
34
Qwen3.7 PlusQwen
Coding
33.2
Overall
25.2
Output $/M
$1.28
20
vs boards won of 55 shared, 1 tied

Decision reading

Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus when output tokens cost 2.1x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or SkillsBench (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
55
DeepSeek V4 Pro 0423 only
28
Qwen3.7 Plus only
20
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Pro 0423 38.7 from 5 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 7.7 points apart on average over 5 shared benchmarks.
Widest single gap
Tax Agent Bench (Vals AI): DeepSeek V4 Pro 0423 25.2% against Qwen3.7 Plus 10.5%, 14.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $2.716 against Qwen3.7 Plus $1.28 per million output tokens, 2.1x apart.
Context window
DeepSeek V4 Pro 0423 takes 1.05M tokens, Qwen3.7 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 Pro 0423BarsQwen3.7 PlusTies
Coding44
Intelligence20
Agentic work50
Reasoning311 tie
Math22
Knowledge40
Web design26
General127
All shared boards34201 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index44
Coding benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
LMArena WebDev1447Not measuredOnly DeepSeek V4 Pro 0423 measured
AA Coding Index59.455.9DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)11.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)49.9%46.4%DeepSeek V4 Pro 0423
Code migration (Vals AI)26.2%12.9%DeepSeek V4 Pro 0423
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)50.2%52.8%Qwen3.7 Plus
SkillsBench (Vals AI)51.3%54.3%Qwen3.7 Plus
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCode17.6%10.2%DeepSeek V4 Pro 0423
WeirdML48.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
ALE-Bench1006.1Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: coding14701473Qwen3.7 Plus
LMArena Text: software and IT14691473Qwen3.7 Plus
LMArena WebDev: React1441Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena WebDev: HTML1435Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
AA Intelligence Index30.425.2DeepSeek V4 Pro 0423
Epoch Capabilities Index149.1147.0DeepSeek V4 Pro 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
AA Agentic Index26.317.5DeepSeek V4 Pro 0423
Design Arena: agents building web apps1000Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps948Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games1059Not measuredOnly DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)44.1%38.2%DeepSeek V4 Pro 0423
Tax Agent Bench (Vals AI)25.2%10.5%DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)23.1%16.4%DeepSeek V4 Pro 0423
Excel Modeling Benchmark (Vals AI)51.6%49.3%DeepSeek V4 Pro 0423
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Vending-Bench 2$3,285Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
GPQA Diamond89.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
GPQA Diamond (Artificial Analysis run)Not measured90.0%Only Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.6%Only Qwen3.7 Plus measured
GPQA Diamond (Epoch AI run)90.9%87.9%DeepSeek V4 Pro 0423
Chess puzzles19.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Mystery game puzzles17.0%17.0%Tie
LMArena Text: hard prompts14611460DeepSeek V4 Pro 0423
LMArena Text: expert14631466Qwen3.7 Plus
LMArena Text: hard prompts in English14661460DeepSeek V4 Pro 0423
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
OTIS Mock AIME96.7%93.3%DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 345.3%34.4%DeepSeek V4 Pro 0423
FrontierMath, tier 42.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProofBench16.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: math14431467Qwen3.7 Plus
LMArena Text: mathematical work14551470Qwen3.7 Plus
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
MMLU Pro87.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)80.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
CaseLaw (Vals AI)59.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)61.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)72.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
MedCode (Vals AI)40.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
SimpleQA Verified47.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: science14701464DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14661464DeepSeek V4 Pro 0423
LMArena Text: legal and government14641451DeepSeek V4 Pro 0423
LMArena Text: business and finance14431435DeepSeek V4 Pro 0423
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
Design Arena: websites12351269Qwen3.7 Plus
Design Arena: UI components12221261Qwen3.7 Plus
Design Arena: game dev12291262Qwen3.7 Plus
Design Arena: data viz12021275Qwen3.7 Plus
Design Arena: 3D12541239DeepSeek V4 Pro 0423
Design Arena: all code categories12401269Qwen3.7 Plus
Design Arena: SVG11401208Qwen3.7 Plus
Design Arena: ASCII art11481144DeepSeek V4 Pro 0423
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
General benchmarks for DeepSeek V4 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 PlusLeader
Public Benefits Bench (Vals AI)62.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
MedScribe (Vals AI)75.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)Not measured73.0%Only Qwen3.7 Plus measured
DTBench90.7%84.0%DeepSeek V4 Pro 0423
LMCA41.2%37.6%DeepSeek V4 Pro 0423
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-bench Life13.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text14511454Qwen3.7 Plus
LMArena Text: instruction following14451439DeepSeek V4 Pro 0423
LMArena Text: creative writing14461438DeepSeek V4 Pro 0423
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: English14591458DeepSeek V4 Pro 0423
LMArena Text: non-English14391445Qwen3.7 Plus
LMArena Text: Chinese14811509Qwen3.7 Plus
LMArena Text: German14581471Qwen3.7 Plus
LMArena Text: Japanese14461412DeepSeek V4 Pro 0423
LMArena Text: Korean14091413Qwen3.7 Plus
LMArena Text: French14731472DeepSeek V4 Pro 0423
LMArena Text: Spanish14571457Qwen3.7 Plus
LMArena Text: Russian14531457Qwen3.7 Plus
LMArena Text: Polish14611449DeepSeek V4 Pro 0423
LMArena Text: multi-turn14681459DeepSeek V4 Pro 0423
LMArena Text: longer queries14581454DeepSeek V4 Pro 0423
LMArena Text: writing and language14471437DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14311422DeepSeek V4 Pro 0423
LMArena Vision: EnglishNot measured1280Only Qwen3.7 Plus measured
LMArena Vision: ChineseNot measured1332Only Qwen3.7 Plus measured
LMArena Vision: reading textNot measured1288Only Qwen3.7 Plus measured
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writingNot measured1258Only Qwen3.7 Plus measured
LMArena DocumentNot measured1444Only Qwen3.7 Plus 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 Pro 0423 and Qwen3.7 Plus
BenchmarkDeepSeek V4 Pro 0423Qwen3.7 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 Pro 0423$0.0026Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.069Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.272Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus 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 Pro 0423 and Qwen3.7 Plus
SpecificationDeepSeek V4 Pro 0423Qwen3.7 Plus
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026June 3, 2026
Context window1.05M1M
Input $/Mtok$1.225$0.32
Output $/Mtok$2.716$1.28
Coding index38.733.2
Independent measurements behind it52
Cost per solved task$0.57Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than Qwen3.7 Plus for coding?

Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus when output tokens cost 2.1x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or SkillsBench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Pro 0423 or Qwen3.7 Plus?

DeepSeek V4 Pro 0423 costs $1.225 per million input tokens and $2.716 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

Which has the bigger context window, DeepSeek V4 Pro 0423 or Qwen3.7 Plus?

DeepSeek V4 Pro 0423, with 1.05M tokens against 1M.

How many benchmarks is the DeepSeek V4 Pro 0423 vs Qwen3.7 Plus comparison based on?

55 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Qwen3.7 Plus's on 2. 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-pro-vs-qwen3-7-plus">LLMBenchmark.ai, DeepSeek V4 Pro 0423 vs Qwen3.7 Plus</a></p>