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DeepSeek V4 Pro 0813 vs Qwen3.7 Max

DeepSeek V4 Pro 0813 leads Qwen3.7 Max on coding, 56.1 to 54.1 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 2.2x less per output token ($1.98 vs $4.425 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace Qwen3.7 Max
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
30
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
7
vs boards won of 38 shared, 1 tied

DeepSeek V4 Pro 0813 or Qwen3.7 Max: which to pick

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.

Pick Qwen3.7 Max for work measured by Terminal-Bench 2.1 (Vals AI) or Excel Modeling Benchmark (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
38
DeepSeek V4 Pro 0813 only
40
Qwen3.7 Max only
21
Like-for-like categories
7 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 Pro 0813 56.1 from 5 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Coding, 12.7 points apart on average over 11 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against Qwen3.7 Max 47.7%, 34.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Qwen3.7 Max $4.425 per million output tokens, 2.2x apart.
Context window
DeepSeek V4 Pro 0813 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 Pro 0813BarsQwen3.7 MaxTies
Coding101
Intelligence20
Agentic work41
Reasoning60
Math211 tie
Knowledge24
General40
All shared boards3071 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
LMArena WebDev15821515DeepSeek V4 Pro 0813
AA Coding Index68.866.0DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)87.5%87.1%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%68.8%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%47.7%DeepSeek V4 Pro 0813
Code migration (Vals AI)41.5%13.1%DeepSeek V4 Pro 0813
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%61.0%Qwen3.7 Max
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%49.5%DeepSeek V4 Pro 0813
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.21189.4DeepSeek V4 Pro 0813
LMArena Text: coding1469Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: software and IT1462Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena WebDev: React15881514DeepSeek V4 Pro 0813
LMArena WebDev: HTML15661512DeepSeek V4 Pro 0813
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
AA Intelligence Index36.029.5DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6154.0DeepSeek V4 Pro 0813
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
AA Agentic Index41.322.5DeepSeek V4 Pro 0813
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
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%47.8%DeepSeek V4 Pro 0813
Tax Agent Bench (Vals AI)26.8%15.8%DeepSeek V4 Pro 0813
Legal Research Bench (Vals AI)40.9%25.5%DeepSeek V4 Pro 0813
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%57.0%Qwen3.7 Max
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
GPQA Diamond92.4%90.2%DeepSeek V4 Pro 0813
GPQA Diamond (Artificial Analysis run)92.8%92.3%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%40.5%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%90.9%DeepSeek V4 Pro 0813
ARC-AGI90.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI-261.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzles46.0%26.0%DeepSeek V4 Pro 0813
Mystery game puzzles43.0%32.0%DeepSeek V4 Pro 0813
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
LMArena Text: hard prompts1458Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: expert1459Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts in English1463Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
OTIS Mock AIME98.6%95.6%DeepSeek V4 Pro 0813
FrontierMath, tiers 1 to 364.6%64.6%Tie
FrontierMath, tier 426.8%34.1%Qwen3.7 Max
ProofBench50.0%26.0%DeepSeek V4 Pro 0813
LMArena Text: math1441Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: mathematical work1443Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
MMLU Pro87.0%89.3%Qwen3.7 Max
LegalBench (Vals AI)82.4%84.9%Qwen3.7 Max
CorpFin (Vals AI)65.4%63.7%DeepSeek V4 Pro 0813
TaxEval (Vals AI)73.1%75.3%Qwen3.7 Max
MedCode (Vals AI)42.5%38.8%DeepSeek V4 Pro 0813
SimpleQA Verified52.9%55.8%Qwen3.7 Max
LMArena Text: science1457Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: medicine and healthcare1446Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: legal and government1459Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: business and finance1442Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
Design Arena: websitesNot measured1274Only Qwen3.7 Max measured
Design Arena: UI componentsNot measured1267Only Qwen3.7 Max measured
Design Arena: game devNot measured1264Only Qwen3.7 Max measured
Design Arena: data vizNot measured1275Only Qwen3.7 Max measured
Design Arena: 3DNot measured1265Only Qwen3.7 Max measured
Design Arena: all code categoriesNot measured1275Only Qwen3.7 Max measured
Design Arena: SVGNot measured1216Only Qwen3.7 Max measured
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 index40
General benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 MaxLeader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%79.4%DeepSeek V4 Pro 0813
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)80.3%79.0%DeepSeek V4 Pro 0813
DTBench93.9%92.3%DeepSeek V4 Pro 0813
LMCA45.5%44.0%DeepSeek V4 Pro 0813
LMArena Text1446Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: instruction following1448Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: creative writing1439Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: English1457Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: non-English1431Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Chinese1481Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Korean1449Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: French1446Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Spanish1435Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Russian1448Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: multi-turn1454Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: longer queries1458Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: writing and language1443Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: entertainment and media1424Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and Qwen3.7 Max
BenchmarkDeepSeek V4 Pro 0813Qwen3.7 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 Pro 0813$0.0016Fits in one request
Qwen3.7 Max$0.0037Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Qwen3.7 Max$0.087Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Qwen3.7 Max$0.339Fits in one request

DeepSeek V4 Pro 0813 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 0813 and Qwen3.7 Max
SpecificationDeepSeek V4 Pro 0813Qwen3.7 Max
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedAugust 12, 2026May 21, 2026
Context window1.05M1M
Input $/Mtok$0.66$1.475
Output $/Mtok$1.98$4.425
Coding index56.154.1
Independent measurements behind it53
Cost per solved task$0.10$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Qwen3.7 Max for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for work measured by Terminal-Bench 2.1 (Vals AI) or Excel Modeling Benchmark (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or Qwen3.7 Max?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Qwen3.7 Max $4.69.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Qwen3.7 Max?

DeepSeek V4 Pro 0813, with 1.05M tokens against 1M.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Qwen3.7 Max comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 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-pro-0813-vs-qwen3-7-max">LLMBenchmark.ai, DeepSeek V4 Pro 0813 vs Qwen3.7 Max</a></p>