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Grok 4.3 vs Qwen3.7 Plus

Grok 4.3 leads Qwen3.7 Plus on coding, 37.4 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 2.0x less per output token ($1.28 vs $2.50 per million). Updated October 21, 2026; 70 benchmarks have a result for both.

Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
10
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
59
vs boards won of 70 shared, 1 tied

Grok 4.3 or Qwen3.7 Plus: which to pick

Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 2.0x cheaper ($1.28 vs $2.50 per million) and work measured by AA Coding Index or Vibe Code Bench (Vals AI), where it leads.

Shared results
70
Grok 4.3 only
34
Qwen3.7 Plus only
5
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
Grok 4.3 37.4 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Knowledge, 12.4 points apart on average over 5 shared benchmarks.
Widest single gap
Excel Modeling Benchmark (Vals AI): Grok 4.3 18.4% against Qwen3.7 Plus 49.3%, 31.0 points apart on a 0 to 100 scale.
Output price
Grok 4.3 $2.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.0x apart.
Context window
Both take 1M tokens.

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
CategoryGrok 4.3BarsQwen3.7 PlusTies
Coding18
Intelligence01
Agentic work15
Reasoning35
Math121 tie
Knowledge05
Web design08
General425
All shared boards10591 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index18
Coding benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
LMArena WebDev1358Not measuredOnly Grok 4.3 measured
AA Coding Index42.255.9Qwen3.7 Plus
LiveCodeBench (Vals AI)84.5%Not measuredOnly Grok 4.3 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly Grok 4.3 measured
Vibe Code Bench (Vals AI)19.4%46.4%Qwen3.7 Plus
Code migration (Vals AI)6.8%12.9%Qwen3.7 Plus
ProgramBench (Vals AI)0.0%Not measuredOnly Grok 4.3 measured
Terminal-Bench 2.1 (Vals AI)42.0%52.8%Qwen3.7 Plus
SkillsBench (Vals AI)40.6%54.3%Qwen3.7 Plus
SciCode48.3%46.1%Grok 4.3
Terminal-Bench Hard (Artificial Analysis run)37.9%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML49.9%Not measuredOnly Grok 4.3 measured
ALE-Bench944.2Not measuredOnly Grok 4.3 measured
LMArena Text: coding14151473Qwen3.7 Plus
LMArena Text: software and IT14161473Qwen3.7 Plus
LMArena WebDev: React1353Not measuredOnly Grok 4.3 measured
LMArena WebDev: HTML1367Not measuredOnly Grok 4.3 measured
LMArena WebDev: from an image1375Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
AA Intelligence Index24.925.2Qwen3.7 Plus
Epoch Capabilities IndexNot measured147.0Only Qwen3.7 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index15
Agentic work benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
AA Agentic Index15.517.5Qwen3.7 Plus
Design Arena: agents building web apps1126Not measuredOnly Grok 4.3 measured
Design Arena: agents building full-stack apps1006Not measuredOnly Grok 4.3 measured
Design Arena: agents building mobile apps1059Not measuredOnly Grok 4.3 measured
Design Arena: agents building Android apps961Not measuredOnly Grok 4.3 measured
Design Arena: agents building Godot games914Not measuredOnly Grok 4.3 measured
Design Arena: agents building games1007Not measuredOnly Grok 4.3 measured
Design Arena: HTML slides1008Not measuredOnly Grok 4.3 measured
Design Arena: PowerPoint slides1013Not measuredOnly Grok 4.3 measured
Finance Agent (Vals AI)37.7%38.2%Qwen3.7 Plus
Tax Agent Bench (Vals AI)6.2%10.5%Qwen3.7 Plus
Legal Research Bench (Vals AI)15.4%16.4%Qwen3.7 Plus
Excel Modeling Benchmark (Vals AI)18.4%49.3%Qwen3.7 Plus
τ²-Bench Telecom97.7%93.0%Grok 4.3
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Vending-Bench 2$35Not measuredOnly Grok 4.3 measured
LMArena Search1166Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
GPQA Diamond91.4%Not measuredOnly Grok 4.3 measured
MMMU Pro (Vals AI)83.1%Not measuredOnly Grok 4.3 measured
GPQA Diamond (Artificial Analysis run)90.1%90.0%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)37.2%35.6%Grok 4.3
GPQA Diamond (Epoch AI run)88.8%87.9%Grok 4.3
Chess puzzles18.0%Not measuredOnly Grok 4.3 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts13961460Qwen3.7 Plus
LMArena Text: expert13841466Qwen3.7 Plus
LMArena Text: hard prompts in English14021460Qwen3.7 Plus
LMArena Vision: diagrams12411292Qwen3.7 Plus
LMArena Vision: homework12411295Qwen3.7 Plus
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
OTIS Mock AIME93.3%93.3%Tie
FrontierMath, tiers 1 to 342.8%34.4%Grok 4.3
FrontierMath, tier 414.6%Not measuredOnly Grok 4.3 measured
ProofBench11.0%Not measuredOnly Grok 4.3 measured
LMArena Text: math13871467Qwen3.7 Plus
LMArena Text: mathematical work13961470Qwen3.7 Plus
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
MMLU Pro85.8%Not measuredOnly Grok 4.3 measured
LegalBench (Vals AI)84.5%Not measuredOnly Grok 4.3 measured
CaseLaw (Vals AI)79.3%Not measuredOnly Grok 4.3 measured
CorpFin (Vals AI)68.5%Not measuredOnly Grok 4.3 measured
TaxEval (Vals AI)70.8%Not measuredOnly Grok 4.3 measured
MortgageTax (Vals AI)48.3%66.2%Qwen3.7 Plus
MedCode (Vals AI)38.1%Not measuredOnly Grok 4.3 measured
SimpleQA Verified33.2%Not measuredOnly Grok 4.3 measured
LMArena Text: science13991464Qwen3.7 Plus
LMArena Text: medicine and healthcare13841464Qwen3.7 Plus
LMArena Text: legal and government13861451Qwen3.7 Plus
LMArena Text: business and finance13811435Qwen3.7 Plus
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
Design Arena: websites11961269Qwen3.7 Plus
Design Arena: UI components11921261Qwen3.7 Plus
Design Arena: game dev11741262Qwen3.7 Plus
Design Arena: data viz11791276Qwen3.7 Plus
Design Arena: 3D11251239Qwen3.7 Plus
Design Arena: all code categories11871269Qwen3.7 Plus
Design Arena: SVG10811208Qwen3.7 Plus
Design Arena: ASCII art11251143Qwen3.7 Plus
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index425
General benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 PlusLeader
Public Benefits Bench (Vals AI)51.7%Not measuredOnly Grok 4.3 measured
SAGE (Vals AI)19.7%39.3%Qwen3.7 Plus
MedScribe (Vals AI)74.4%Not measuredOnly Grok 4.3 measured
Vals Multimodal Index43.3%53.9%Qwen3.7 Plus
IFBench83.3%78.0%Grok 4.3
Long context reasoning (AA-LCR)75.0%73.0%Grok 4.3
DTBench90.7%84.0%Grok 4.3
LMCA38.3%37.6%Grok 4.3
LMArena Text13971454Qwen3.7 Plus
LMArena Text: instruction following13661439Qwen3.7 Plus
LMArena Text: creative writing13801438Qwen3.7 Plus
LMArena Vision12291278Qwen3.7 Plus
LMArena Text: English14041458Qwen3.7 Plus
LMArena Text: non-English13851445Qwen3.7 Plus
LMArena Text: Chinese14221509Qwen3.7 Plus
LMArena Text: German13951471Qwen3.7 Plus
LMArena Text: Japanese13791412Qwen3.7 Plus
LMArena Text: Korean13541413Qwen3.7 Plus
LMArena Text: French14111472Qwen3.7 Plus
LMArena Text: Spanish13991457Qwen3.7 Plus
LMArena Text: Russian13991457Qwen3.7 Plus
LMArena Text: Polish13981449Qwen3.7 Plus
LMArena Text: multi-turn14061459Qwen3.7 Plus
LMArena Text: longer queries13931454Qwen3.7 Plus
LMArena Text: writing and language13851437Qwen3.7 Plus
LMArena Text: entertainment and media13701422Qwen3.7 Plus
LMArena Vision: English12351280Qwen3.7 Plus
LMArena Vision: Chinese12571332Qwen3.7 Plus
LMArena Vision: reading text12351288Qwen3.7 Plus
LMArena Vision: humor12221261Qwen3.7 Plus
LMArena Vision: recognizing things1217Not measuredOnly Grok 4.3 measured
LMArena Vision: creative writing12371258Qwen3.7 Plus
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.3 and Qwen3.7 Plus
BenchmarkGrok 4.3Qwen3.7 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

Grok 4.3$0.0025Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Grok 4.3$0.070Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Grok 4.3$0.275Fits 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 Grok 4.3 and Qwen3.7 Plus
SpecificationSpaceXAI Grok 4.3Qwen3.7 Plus
MakerxAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 30, 2026June 3, 2026
Context window1M1M
Input $/Mtok$1.25$0.32
Output $/Mtok$2.50$1.28
Coding index37.433.2
Independent measurements behind it32
Cost per solved task$0.31Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.3 better than Qwen3.7 Plus for coding?

Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 2.0x cheaper ($1.28 vs $2.50 per million) and work measured by AA Coding Index or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, Grok 4.3 or Qwen3.7 Plus?

Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, Grok 4.3 or Qwen3.7 Plus?

Neither: both take 1M tokens.

How many benchmarks is the Grok 4.3 vs Qwen3.7 Plus comparison based on?

70 benchmarks have a result for both models as of October 21, 2026. Grok 4.3's coding index rests on 3 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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<iframe src="https://llmbenchmark.ai/embed/compare/grok-4-3-vs-qwen3-7-plus" title="Grok 4.3 vs Qwen3.7 Plus, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/grok-4-3-vs-qwen3-7-plus">LLMBenchmark.ai, Grok 4.3 vs Qwen3.7 Plus</a></p>