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Grok 4.3 vs Qwen3.5-122B-A10B

Grok 4.3 leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 24.9 to 17.7, and Qwen3.5-122B-A10B costs 1.2x less per output token ($2.08 vs $2.50 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

Replace Grok 4.3 Replace Qwen3.5-122B-A10B
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
16
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
34
vs boards won of 50 shared

Grok 4.3 or Qwen3.5-122B-A10B: which to pick

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for output tokens 1.2x cheaper ($2.08 vs $2.50 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved taskModel BQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
50
Grok 4.3 only
55
Qwen3.5-122B-A10B only
1
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
Grok 4.3 37.4 from 3 benchmarks, Qwen3.5-122B-A10B not benchmarked.
Widest category
Intelligence, 7.2 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Grok 4.3 37.2% against Qwen3.5-122B-A10B 25.2%, 12.0 points apart on a 0 to 100 scale.
Output price
Grok 4.3 $2.50 against Qwen3.5-122B-A10B $2.08 per million output tokens, 1.2x apart.
Context window
Grok 4.3 takes 1M tokens, Qwen3.5-122B-A10B 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 4.3BarsQwen3.5-122B-A10BTies
Coding44
Intelligence10
Agentic work10
Reasoning25
Math02
Knowledge04
General819
All shared boards1634
CodingLike-for-likeSix of these boards feed the Vibe Coding Index44
Coding benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
LMArena WebDev13581361Qwen3.5-122B-A10B
AA Coding Index42.243.3Qwen3.5-122B-A10B
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%39.7%Grok 4.3
Terminal-Bench Hard (Artificial Analysis run)37.9%31.1%Grok 4.3
WeirdML49.9%Not measuredOnly Grok 4.3 measured
ALE-Bench944.2Not measuredOnly Grok 4.3 measured
LMArena Text: coding14151436Qwen3.5-122B-A10B
LMArena Text: software and IT14161436Qwen3.5-122B-A10B
LMArena WebDev: React13531353Grok 4.3
LMArena WebDev: HTML13671351Grok 4.3
LMArena WebDev: from an image1375Not measuredOnly Grok 4.3 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
AA Intelligence Index24.917.7Grok 4.3
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
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%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%93.6%Grok 4.3
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 index25
Reasoning benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
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%85.7%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)37.2%25.2%Grok 4.3
GPQA Diamond (Epoch AI run)88.8%Not measuredOnly Grok 4.3 measured
Chess puzzles18.0%Not measuredOnly Grok 4.3 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts13961421Qwen3.5-122B-A10B
LMArena Text: expert13841431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English14021431Qwen3.5-122B-A10B
LMArena Vision: diagrams12411249Qwen3.5-122B-A10B
LMArena Vision: homework12411261Qwen3.5-122B-A10B
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
OTIS Mock AIME93.3%Not measuredOnly Grok 4.3 measured
FrontierMath, tiers 1 to 342.8%Not measuredOnly Grok 4.3 measured
FrontierMath, tier 414.6%Not measuredOnly Grok 4.3 measured
ProofBench11.0%Not measuredOnly Grok 4.3 measured
LMArena Text: math13871431Qwen3.5-122B-A10B
LMArena Text: mathematical work13961431Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
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: science13991432Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare13841423Qwen3.5-122B-A10B
LMArena Text: legal and government13861422Qwen3.5-122B-A10B
LMArena Text: business and finance13811414Qwen3.5-122B-A10B
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
Design Arena: websites1196Not measuredOnly Grok 4.3 measured
Design Arena: UI components1190Not measuredOnly Grok 4.3 measured
Design Arena: game dev1173Not measuredOnly Grok 4.3 measured
Design Arena: data viz1179Not measuredOnly Grok 4.3 measured
Design Arena: 3D1124Not measuredOnly Grok 4.3 measured
Design Arena: all code categories1186Not measuredOnly Grok 4.3 measured
Design Arena: SVG1080Not measuredOnly Grok 4.3 measured
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 index819
General benchmarks for Grok 4.3 and Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
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%75.7%Grok 4.3
Long context reasoning (AA-LCR)75.0%76.3%Qwen3.5-122B-A10B
DTBench90.7%84.3%Grok 4.3
LMCA38.3%32.2%Grok 4.3
LMArena Text13971417Qwen3.5-122B-A10B
LMArena Text: instruction following13661399Qwen3.5-122B-A10B
LMArena Text: creative writing13801368Grok 4.3
LMArena Vision12291244Qwen3.5-122B-A10B
LMArena Text: English14041428Qwen3.5-122B-A10B
LMArena Text: non-English13851401Qwen3.5-122B-A10B
LMArena Text: Chinese14221463Qwen3.5-122B-A10B
LMArena Text: German13951425Qwen3.5-122B-A10B
LMArena Text: Japanese13791367Grok 4.3
LMArena Text: Korean13541353Grok 4.3
LMArena Text: French14111443Qwen3.5-122B-A10B
LMArena Text: Spanish13991425Qwen3.5-122B-A10B
LMArena Text: Russian13991400Qwen3.5-122B-A10B
LMArena Text: Polish13981398Qwen3.5-122B-A10B
LMArena Text: multi-turn14061416Qwen3.5-122B-A10B
LMArena Text: longer queries13931410Qwen3.5-122B-A10B
LMArena Text: writing and language13851387Qwen3.5-122B-A10B
LMArena Text: entertainment and media13701366Grok 4.3
LMArena Vision: English12351249Qwen3.5-122B-A10B
LMArena Vision: Chinese12571301Qwen3.5-122B-A10B
LMArena Vision: reading text12351251Qwen3.5-122B-A10B
LMArena Vision: humor12221243Qwen3.5-122B-A10B
LMArena Vision: recognizing things1217Not measuredOnly Grok 4.3 measured
LMArena Vision: creative writing12371220Grok 4.3
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 Qwen3.5-122B-A10B
BenchmarkGrok 4.3Qwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

Grok 4.3$0.070Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

Grok 4.3$0.275Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B
SpecificationSpaceXAI Grok 4.3Qwen3.5-122B-A10B
MakerxAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026February 25, 2026
Context window1M262K
Input $/Mtok$1.25$0.26
Output $/Mtok$2.50$2.08
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 Qwen3.5-122B-A10B for coding?

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for output tokens 1.2x cheaper ($2.08 vs $2.50 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Grok 4.3 or Qwen3.5-122B-A10B?

Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, Grok 4.3 or Qwen3.5-122B-A10B?

Grok 4.3, with 1M tokens against 262K.

How many benchmarks is the Grok 4.3 vs Qwen3.5-122B-A10B comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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