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Grok 4.3 vs Qwen3.6 Plus

Qwen3.6 Plus leads Grok 4.3 on coding, 44.1 to 37.4 on the Vibe Coding Index, and Qwen3.6 Plus costs 1.3x less per output token ($1.95 vs $2.50 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace Grok 4.3 Replace Qwen3.6 Plus
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
16
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
60
vs boards won of 79 shared, 3 tied

Grok 4.3 or Qwen3.6 Plus: which to pick

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 37.4 for Grok 4.3.

Pick Grok 4.3 for a lower cost per solved task ($0.31 against $1.19) and work measured by ALE-Bench or Legal Research Bench (Vals AI), where it leads.

Model AGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved taskModel BQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved task
Shared results
79
Grok 4.3 only
26
Qwen3.6 Plus only
4
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, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Coding, 8.9 points apart on average over 15 shared benchmarks.
Widest single gap
Vending-Bench 2: Grok 4.3 $35 against Qwen3.6 Plus $5,115, 31.7 points apart on a 0 to 100 scale.
Output price
Grok 4.3 $2.50 against Qwen3.6 Plus $1.95 per million output tokens, 1.3x 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 4.3BarsQwen3.6 PlusTies
Coding1131 tie
Intelligence01
Agentic work141 tie
Reasoning54
Math121 tie
Knowledge48
Web design17
General321
All shared boards16603 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index113
Coding benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
LMArena WebDev13581461Qwen3.6 Plus
AA Coding Index42.254.5Qwen3.6 Plus
LiveCodeBench (Vals AI)84.5%86.0%Qwen3.6 Plus
SWE-bench Verified (Vals AI)71.4%73.4%Qwen3.6 Plus
Vibe Code Bench (Vals AI)19.4%25.6%Qwen3.6 Plus
Code migration (Vals AI)6.8%11.1%Qwen3.6 Plus
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)42.0%53.2%Qwen3.6 Plus
SkillsBench (Vals AI)40.6%Not measuredOnly Grok 4.3 measured
SciCode48.3%Not measuredOnly Grok 4.3 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%43.9%Qwen3.6 Plus
WeirdML49.9%Not measuredOnly Grok 4.3 measured
ALE-Bench944.2670.1Grok 4.3
LMArena Text: coding14151467Qwen3.6 Plus
LMArena Text: software and IT14161462Qwen3.6 Plus
LMArena WebDev: React13531454Qwen3.6 Plus
LMArena WebDev: HTML13671463Qwen3.6 Plus
LMArena WebDev: from an image13751472Qwen3.6 Plus
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
AA Intelligence Index24.927.0Qwen3.6 Plus
Epoch Capabilities IndexNot measured147.3Only Qwen3.6 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
AA Agentic Index15.5Not measuredOnly Grok 4.3 measured
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 apps1058Not measuredOnly Grok 4.3 measured
Design Arena: agents building Android apps962Not 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 slides959Not measuredOnly Grok 4.3 measured
Design Arena: PowerPoint slides988Not measuredOnly Grok 4.3 measured
Design Arena: spreadsheets879Not measuredOnly Grok 4.3 measured
Finance Agent (Vals AI)37.7%40.9%Qwen3.6 Plus
Tax Agent Bench (Vals AI)6.2%7.7%Qwen3.6 Plus
Legal Research Bench (Vals AI)15.4%14.9%Grok 4.3
Excel Modeling Benchmark (Vals AI)18.4%32.9%Qwen3.6 Plus
τ²-Bench Telecom97.7%97.7%Tie
Vending-Bench 2$35$5,115Qwen3.6 Plus
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 index54
Reasoning benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
GPQA Diamond91.4%87.4%Grok 4.3
MMMU Pro (Vals AI)83.1%84.2%Qwen3.6 Plus
GPQA Diamond (Artificial Analysis run)90.1%88.2%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)37.2%27.8%Grok 4.3
GPQA Diamond (Epoch AI run)88.8%88.4%Grok 4.3
Chess puzzles18.0%14.0%Grok 4.3
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard prompts13961448Qwen3.6 Plus
LMArena Text: expert13841454Qwen3.6 Plus
LMArena Text: hard prompts in English14021455Qwen3.6 Plus
LMArena Vision: diagrams1241Not measuredOnly Grok 4.3 measured
LMArena Vision: homework1241Not measuredOnly Grok 4.3 measured
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 Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIME93.3%93.3%Tie
FrontierMath, tiers 1 to 342.8%38.2%Grok 4.3
FrontierMath, tier 414.6%Not measuredOnly Grok 4.3 measured
ProofBench11.0%Not measuredOnly Grok 4.3 measured
LMArena Text: math13871449Qwen3.6 Plus
LMArena Text: mathematical work13961448Qwen3.6 Plus
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index48
Knowledge benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
MMLU Pro85.8%87.7%Qwen3.6 Plus
LegalBench (Vals AI)84.5%84.2%Grok 4.3
CaseLaw (Vals AI)79.3%51.5%Grok 4.3
CorpFin (Vals AI)68.5%61.9%Grok 4.3
TaxEval (Vals AI)70.8%74.7%Qwen3.6 Plus
MortgageTax (Vals AI)48.3%68.0%Qwen3.6 Plus
MedCode (Vals AI)38.1%36.9%Grok 4.3
SimpleQA Verified33.2%44.1%Qwen3.6 Plus
LMArena Text: science13991439Qwen3.6 Plus
LMArena Text: medicine and healthcare13841442Qwen3.6 Plus
LMArena Text: legal and government13861437Qwen3.6 Plus
LMArena Text: business and finance13811430Qwen3.6 Plus
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
Design Arena: websites11961243Qwen3.6 Plus
Design Arena: UI components11901230Qwen3.6 Plus
Design Arena: game dev11731211Qwen3.6 Plus
Design Arena: data viz11791228Qwen3.6 Plus
Design Arena: 3D11241202Qwen3.6 Plus
Design Arena: all code categories11861236Qwen3.6 Plus
Design Arena: SVG10801161Qwen3.6 Plus
Design Arena: ASCII art11251113Grok 4.3
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index321
General benchmarks for Grok 4.3 and Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 PlusLeader
Public Benefits Bench (Vals AI)51.7%Not measuredOnly Grok 4.3 measured
SAGE (Vals AI)19.7%44.9%Qwen3.6 Plus
MedScribe (Vals AI)74.4%77.0%Qwen3.6 Plus
Vals Multimodal Index43.3%51.5%Qwen3.6 Plus
IFBench83.3%75.2%Grok 4.3
Long context reasoning (AA-LCR)75.0%78.3%Qwen3.6 Plus
DTBench90.7%81.9%Grok 4.3
LMCA38.3%33.1%Grok 4.3
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena Text13971436Qwen3.6 Plus
LMArena Text: instruction following13661424Qwen3.6 Plus
LMArena Text: creative writing13801404Qwen3.6 Plus
LMArena Vision1229Not measuredOnly Grok 4.3 measured
LMArena Text: English14041445Qwen3.6 Plus
LMArena Text: non-English13851424Qwen3.6 Plus
LMArena Text: Chinese14221477Qwen3.6 Plus
LMArena Text: German13951451Qwen3.6 Plus
LMArena Text: Japanese13791390Qwen3.6 Plus
LMArena Text: Korean13541379Qwen3.6 Plus
LMArena Text: French14111455Qwen3.6 Plus
LMArena Text: Spanish13991432Qwen3.6 Plus
LMArena Text: Russian13991434Qwen3.6 Plus
LMArena Text: Polish13981433Qwen3.6 Plus
LMArena Text: multi-turn14061438Qwen3.6 Plus
LMArena Text: longer queries13931439Qwen3.6 Plus
LMArena Text: writing and language13851418Qwen3.6 Plus
LMArena Text: entertainment and media13701402Qwen3.6 Plus
LMArena Vision: English1235Not measuredOnly Grok 4.3 measured
LMArena Vision: Chinese1257Not measuredOnly Grok 4.3 measured
LMArena Vision: reading text1235Not measuredOnly Grok 4.3 measured
LMArena Vision: humor1222Not measuredOnly Grok 4.3 measured
LMArena Vision: recognizing things1217Not measuredOnly Grok 4.3 measured
LMArena Vision: creative writing1237Not measuredOnly Grok 4.3 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 Qwen3.6 Plus
BenchmarkGrok 4.3Qwen3.6 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
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Grok 4.3$0.070Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Grok 4.3$0.275Fits in one request
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 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 Qwen3.6 Plus
SpecificationSpaceXAI Grok 4.3Qwen3.6 Plus
MakerxAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 30, 2026April 2, 2026
Context window1M1M
Input $/Mtok$1.25$0.325
Output $/Mtok$2.50$1.95
Coding index37.444.1
Independent measurements behind it33
Cost per solved task$0.31$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.3 better than Qwen3.6 Plus for coding?

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 37.4 for Grok 4.3. Pick Grok 4.3 for a lower cost per solved task ($0.31 against $1.19) and work measured by ALE-Bench or Legal Research Bench (Vals AI), where it leads.

Which is cheaper, Grok 4.3 or Qwen3.6 Plus?

Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and Qwen3.6 Plus $1.19.

Which has the bigger context window, Grok 4.3 or Qwen3.6 Plus?

Neither: both take 1M tokens.

How many benchmarks is the Grok 4.3 vs Qwen3.6 Plus comparison based on?

79 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Qwen3.6 Plus's on 3. 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-qwen3-6-plus" title="Grok 4.3 vs Qwen3.6 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-qwen3-6-plus">LLMBenchmark.ai, Grok 4.3 vs Qwen3.6 Plus</a></p>