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Grok 4.3 vs Qwen3.5 397B A17B

Grok 4.3 leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 24.9 to 21.4, at about the same output price ($2.50 vs $2.34 per million). Updated October 22, 2026; 61 benchmarks have a result for both.

Replace Grok 4.3 Replace Qwen3.5 397B A17B
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
17
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
44
vs boards won of 61 shared

Grok 4.3 or Qwen3.5 397B A17B: which to pick

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for output tokens 1.1x cheaper ($2.34 vs $2.50 per million) and work measured by LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved taskModel BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
61
Grok 4.3 only
45
Qwen3.5 397B A17B 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, Qwen3.5 397B A17B not benchmarked.
Widest category
Knowledge, 9.9 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: expert: Grok 4.3 1384 against Qwen3.5 397B A17B 1462, 12.9 points apart on a 0 to 100 scale.
Output price
Grok 4.3 $2.50 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.1x apart.
Context window
Grok 4.3 takes 1M tokens, Qwen3.5 397B A17B 262K.

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 4.3BarsQwen3.5 397B A17BTies
Coding26
Intelligence10
Agentic work10
Reasoning35
Math22
Knowledge04
Web design52
General325
All shared boards1744
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
Coding benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
LMArena WebDev13581400Qwen3.5 397B A17B
AA Coding Index42.2Not measuredOnly Grok 4.3 measured
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%Not measuredOnly Grok 4.3 measured
Code migration (Vals AI)6.8%Not measuredOnly Grok 4.3 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Grok 4.3 measured
Terminal-Bench 2.1 (Vals AI)42.0%Not measuredOnly Grok 4.3 measured
SkillsBench (Vals AI)40.6%Not measuredOnly Grok 4.3 measured
SciCode48.3%44.8%Grok 4.3
Terminal-Bench Hard (Artificial Analysis run)37.9%40.9%Qwen3.5 397B A17B
WeirdML49.9%Not measuredOnly Grok 4.3 measured
ALE-Bench944.2621.9Grok 4.3
LMArena Text: coding14151464Qwen3.5 397B A17B
LMArena Text: software and IT14161463Qwen3.5 397B A17B
LMArena WebDev: React13531388Qwen3.5 397B A17B
LMArena WebDev: HTML13671410Qwen3.5 397B A17B
LMArena WebDev: from an image1375Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
AA Intelligence Index24.921.4Grok 4.3
Epoch Capabilities IndexNot measured146.8Only Qwen3.5 397B A17B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
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 slides948Not measuredOnly Grok 4.3 measured
Design Arena: PowerPoint slides987Not measuredOnly Grok 4.3 measured
Design Arena: spreadsheets929Not measuredOnly Grok 4.3 measured
Finance Agent (Vals AI)37.7%Not measuredOnly Grok 4.3 measured
Tax Agent Bench (Vals AI)6.2%Not measuredOnly Grok 4.3 measured
Legal Research Bench (Vals AI)15.4%Not measuredOnly Grok 4.3 measured
Excel Modeling Benchmark (Vals AI)18.4%Not measuredOnly Grok 4.3 measured
τ²-Bench Telecom97.7%95.6%Grok 4.3
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B 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 Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
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%89.3%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)37.2%29.0%Grok 4.3
GPQA Diamond (Epoch AI run)88.8%86.4%Grok 4.3
Chess puzzles18.0%Not measuredOnly Grok 4.3 measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts13961448Qwen3.5 397B A17B
LMArena Text: expert13841462Qwen3.5 397B A17B
LMArena Text: hard prompts in English14021450Qwen3.5 397B A17B
LMArena Vision: diagrams12411277Qwen3.5 397B A17B
LMArena Vision: homework12411292Qwen3.5 397B A17B
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
OTIS Mock AIME93.3%88.9%Grok 4.3
FrontierMath, tiers 1 to 342.8%31.2%Grok 4.3
FrontierMath, tier 414.6%Not measuredOnly Grok 4.3 measured
ProofBench11.0%Not measuredOnly Grok 4.3 measured
LMArena Text: math13871453Qwen3.5 397B A17B
LMArena Text: mathematical work13961454Qwen3.5 397B A17B
MathArenaNot measured19.2%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
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%Not measuredOnly Grok 4.3 measured
MedCode (Vals AI)38.1%Not measuredOnly Grok 4.3 measured
SimpleQA Verified33.2%Not measuredOnly Grok 4.3 measured
LMArena Text: science13991457Qwen3.5 397B A17B
LMArena Text: medicine and healthcare13841455Qwen3.5 397B A17B
LMArena Text: legal and government13861441Qwen3.5 397B A17B
LMArena Text: business and finance13811435Qwen3.5 397B A17B
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index52
Web design benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
Design Arena: websites11961190Grok 4.3
Design Arena: UI components11901161Grok 4.3
Design Arena: game dev11721140Grok 4.3
Design Arena: data viz11801175Grok 4.3
Design Arena: 3D11241160Qwen3.5 397B A17B
Design Arena: all code categories11861179Grok 4.3
Design Arena: SVG10801139Qwen3.5 397B A17B
Design Arena: ASCII art1125Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index325
General benchmarks for Grok 4.3 and Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
Public Benefits Bench (Vals AI)51.7%Not measuredOnly Grok 4.3 measured
SAGE (Vals AI)19.7%Not measuredOnly Grok 4.3 measured
MedScribe (Vals AI)74.4%Not measuredOnly Grok 4.3 measured
Vals Multimodal Index43.3%Not measuredOnly Grok 4.3 measured
IFBench83.3%78.8%Grok 4.3
Long context reasoning (AA-LCR)75.0%77.3%Qwen3.5 397B A17B
DTBench90.7%87.5%Grok 4.3
LMCA38.3%37.9%Grok 4.3
LMArena Text13971437Qwen3.5 397B A17B
LMArena Text: instruction following13661424Qwen3.5 397B A17B
LMArena Text: creative writing13801402Qwen3.5 397B A17B
LMArena Vision12291262Qwen3.5 397B A17B
LMArena Text: English14041443Qwen3.5 397B A17B
LMArena Text: non-English13851430Qwen3.5 397B A17B
LMArena Text: Chinese14221498Qwen3.5 397B A17B
LMArena Text: German13951445Qwen3.5 397B A17B
LMArena Text: Japanese13791429Qwen3.5 397B A17B
LMArena Text: Korean13541384Qwen3.5 397B A17B
LMArena Text: French14111462Qwen3.5 397B A17B
LMArena Text: Spanish13991441Qwen3.5 397B A17B
LMArena Text: Russian13991430Qwen3.5 397B A17B
LMArena Text: Polish13981447Qwen3.5 397B A17B
LMArena Text: multi-turn14061446Qwen3.5 397B A17B
LMArena Text: longer queries13931441Qwen3.5 397B A17B
LMArena Text: writing and language13851415Qwen3.5 397B A17B
LMArena Text: entertainment and media13701399Qwen3.5 397B A17B
LMArena Vision: English12351268Qwen3.5 397B A17B
LMArena Vision: Chinese12571314Qwen3.5 397B A17B
LMArena Vision: reading text12351271Qwen3.5 397B A17B
LMArena Vision: humor12221262Qwen3.5 397B A17B
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing things12171265Qwen3.5 397B A17B
LMArena Vision: creative writing12371260Qwen3.5 397B A17B
EQ-Bench 41075Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 14 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 Qwen3.5 397B A17B
BenchmarkGrok 4.3Qwen3.5 397B A17BLeader
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
Qwen3.5 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

Grok 4.3$0.070Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

Grok 4.3$0.275Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B 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 Qwen3.5 397B A17B
SpecificationSpaceXAI Grok 4.3Qwen3.5 397B A17B
MakerxAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026February 16, 2026
Context window1M262K
Input $/Mtok$1.25$0.39
Output $/Mtok$2.50$2.34
Coding index37.4Not benchmarked
Independent measurements behind it31
Cost per solved task$0.31Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.3 better than Qwen3.5 397B A17B for coding?

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 1.1x cheaper ($2.34 vs $2.50 per million) and work measured by LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Grok 4.3 or Qwen3.5 397B A17B?

Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, Grok 4.3 or Qwen3.5 397B A17B?

Grok 4.3, with 1M tokens against 262K.

How many benchmarks is the Grok 4.3 vs Qwen3.5 397B A17B comparison based on?

61 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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