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Grok 4.6 vs Qwen3.7 Max

Updated October 21, 2026. 56 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Grok 4.6xAI
Coding
76.4
Overall
44.3
Output $/M
$6.00
53
Qwen3.7 MaxQwen
Coding
45.1
Overall
29.5
Output $/M
$4.425
3
vs boards won of 56 shared

Decision reading

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 45.1 for Qwen3.7 Max.

Pick Qwen3.7 Max when output tokens cost 1.4x less, or when the context window is larger, 1M against 500K tokens.

Shared results
56
Grok 4.6 only
67
Qwen3.7 Max only
3
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4.6 76.4 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
Widest category
Coding, 16.1 points apart on average over 11 shared benchmarks.
Widest single gap
Code migration (Vals AI): Grok 4.6 44.6% against Qwen3.7 Max 13.1%, 31.5 points apart on a 0 to 100 scale.
Output price
Grok 4.6 $6.00 against Qwen3.7 Max $4.425 per million output tokens, 1.4x apart.
Context window
Grok 4.6 takes 500K 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
CategoryGrok 4.6BarsQwen3.7 MaxTies
Coding110
Intelligence20
Agentic work130
Reasoning80
Math31
Knowledge42
Web design80
General40
All shared boards533
CodingLike-for-likeFour of these boards feed the Vibe Coding Index110
Coding benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
LiveBench coding89.1%Not measuredOnly Grok 4.6 measured
LMArena WebDev16171515Grok 4.6
AA Coding Index76.866.0Grok 4.6
LiveCodeBench (Vals AI)88.2%87.1%Grok 4.6
SWE-bench Verified (Vals AI)95.6%68.8%Grok 4.6
Terminal-Bench 4 (Vals AI)17.2%Not measuredOnly Grok 4.6 measured
Vibe Code Bench (Vals AI)76.2%47.7%Grok 4.6
Code migration (Vals AI)44.6%13.1%Grok 4.6
ProgramBench (Vals AI)1.0%Not measuredOnly Grok 4.6 measured
IOI (Vals AI)47.6%Not measuredOnly Grok 4.6 measured
Terminal-Bench 2.1 (Vals AI)78.3%61.0%Grok 4.6
Vibe Code Bench 1-100 (Vals AI)14.8%Not measuredOnly Grok 4.6 measured
SkillsBench (Vals AI)55.8%Not measuredOnly Grok 4.6 measured
CyberBench (Vals AI)67.7%Not measuredOnly Grok 4.6 measured
SciCode56.5%49.5%Grok 4.6
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
FrontierCode48.0%Not measuredOnly Grok 4.6 measured
FrontierSWE25.3%Not measuredOnly Grok 4.6 measured
WeirdML67.3%Not measuredOnly Grok 4.6 measured
ALE-Bench1508.11189.4Grok 4.6
LMArena Text: coding1466Not measuredOnly Grok 4.6 measured
LMArena Text: software and IT1457Not measuredOnly Grok 4.6 measured
LMArena WebDev: React16311514Grok 4.6
LMArena WebDev: HTML15971512Grok 4.6
LMArena WebDev: from an image1603Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
AA Intelligence Index44.329.5Grok 4.6
Epoch Capabilities Index156.6154.0Grok 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index130
Agentic work benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
AA Agentic Index53.022.5Grok 4.6
Design Arena: agents building web apps12471208Grok 4.6
Design Arena: agents building full-stack apps12641191Grok 4.6
Design Arena: agents building mobile apps12341153Grok 4.6
Design Arena: agents building Android apps12971165Grok 4.6
Design Arena: agents building Godot games12761187Grok 4.6
Design Arena: agents building games12081161Grok 4.6
Design Arena: HTML slides12491158Grok 4.6
Design Arena: PowerPoint slides12411196Grok 4.6
LiveBench research84.5%Not measuredOnly Grok 4.6 measured
LiveBench browser64.0%Not measuredOnly Grok 4.6 measured
LiveBench long agentic40.7%Not measuredOnly Grok 4.6 measured
Finance Agent (Vals AI)53.7%47.8%Grok 4.6
Tax Agent Bench (Vals AI)33.1%15.8%Grok 4.6
Legal Research Bench (Vals AI)48.1%25.5%Grok 4.6
Excel Modeling Benchmark (Vals AI)62.7%57.0%Grok 4.6
BioMysteryBench (Vals AI)72.2%Not measuredOnly Grok 4.6 measured
Terminal-Bench-Science (Vals AI)11.4%Not measuredOnly Grok 4.6 measured
Vals Science Index38.1%Not measuredOnly Grok 4.6 measured
Time Horizon Index (Vals AI)5.8%Not measuredOnly Grok 4.6 measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
APEX-Agents65.3%Not measuredOnly Grok 4.6 measured
Vending-Bench 2$9,047Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
GPQA Diamond94.7%90.2%Grok 4.6
LiveBench reasoning91.2%Not measuredOnly Grok 4.6 measured
MysteryMechanism (Vals AI)30.6%Not measuredOnly Grok 4.6 measured
GPQA Diamond (Artificial Analysis run)94.9%92.3%Grok 4.6
Humanity's Last Exam (Artificial Analysis run)44.1%40.5%Grok 4.6
GPQA Diamond (Epoch AI run)94.0%90.9%Grok 4.6
ARC-AGI87.5%Not measuredOnly Grok 4.6 measured
ARC-AGI-267.1%Not measuredOnly Grok 4.6 measured
SimpleBench75.9%70.4%Grok 4.6
Chess puzzles33.0%26.0%Grok 4.6
Mystery game puzzles34.0%32.0%Grok 4.6
EBR-bench30.5%9.5%Grok 4.6
LMArena Text: hard prompts1448Not measuredOnly Grok 4.6 measured
LMArena Text: expert1469Not measuredOnly Grok 4.6 measured
LMArena Text: hard prompts in English1445Not measuredOnly Grok 4.6 measured
LMArena Vision: diagrams1285Not measuredOnly Grok 4.6 measured
LMArena Vision: homework1283Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index31
Math benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
OTIS Mock AIME99.2%95.6%Grok 4.6
FrontierMath, tiers 1 to 366.0%64.6%Grok 4.6
FrontierMath, tier 431.7%34.1%Qwen3.7 Max
ProofBench51.0%26.0%Grok 4.6
LMArena Text: math1417Not measuredOnly Grok 4.6 measured
LMArena Text: mathematical work1464Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
Knowledge benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
MMLU Pro89.4%89.3%Grok 4.6
LegalBench (Vals AI)86.3%84.9%Grok 4.6
CorpFin (Vals AI)66.2%63.7%Grok 4.6
TaxEval (Vals AI)71.1%75.3%Qwen3.7 Max
MortgageTax (Vals AI)64.2%Not measuredOnly Grok 4.6 measured
MedCode (Vals AI)44.7%38.8%Grok 4.6
SimpleQA Verified49.3%55.8%Qwen3.7 Max
LMArena Text: science1437Not measuredOnly Grok 4.6 measured
LMArena Text: medicine and healthcare1420Not measuredOnly Grok 4.6 measured
LMArena Text: legal and government1429Not measuredOnly Grok 4.6 measured
LMArena Text: business and finance1416Not measuredOnly Grok 4.6 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
Design Arena: websites12891274Grok 4.6
Design Arena: UI components12941269Grok 4.6
Design Arena: game dev12961265Grok 4.6
Design Arena: data viz12831275Grok 4.6
Design Arena: 3D12771266Grok 4.6
Design Arena: all code categories12921275Grok 4.6
Design Arena: SVG12391216Grok 4.6
Design Arena: ASCII art12781211Grok 4.6
LiveBench design79.8%Not measuredOnly Grok 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Grok 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 MaxLeader
LiveBench data analysis75.3%Not measuredOnly Grok 4.6 measured
Public Benefits Bench (Vals AI)66.8%Not measuredOnly Grok 4.6 measured
SAGE (Vals AI)28.9%Not measuredOnly Grok 4.6 measured
MedScribe (Vals AI)86.5%79.4%Grok 4.6
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)81.0%79.0%Grok 4.6
DTBench97.3%92.3%Grok 4.6
LMCA48.5%44.0%Grok 4.6
Furniture assembly40.0%Not measuredOnly Grok 4.6 measured
LMArena Text1429Not measuredOnly Grok 4.6 measured
LMArena Text: instruction following1431Not measuredOnly Grok 4.6 measured
LMArena Text: creative writing1426Not measuredOnly Grok 4.6 measured
LMArena Vision1263Not measuredOnly Grok 4.6 measured
LMArena Text: English1433Not measuredOnly Grok 4.6 measured
LMArena Text: non-English1420Not measuredOnly Grok 4.6 measured
LMArena Text: Chinese1476Not measuredOnly Grok 4.6 measured
LMArena Text: German1426Not measuredOnly Grok 4.6 measured
LMArena Text: Japanese1378Not measuredOnly Grok 4.6 measured
LMArena Text: Korean1391Not measuredOnly Grok 4.6 measured
LMArena Text: French1455Not measuredOnly Grok 4.6 measured
LMArena Text: Spanish1414Not measuredOnly Grok 4.6 measured
LMArena Text: Russian1421Not measuredOnly Grok 4.6 measured
LMArena Text: Polish1430Not measuredOnly Grok 4.6 measured
LMArena Text: multi-turn1425Not measuredOnly Grok 4.6 measured
LMArena Text: longer queries1456Not measuredOnly Grok 4.6 measured
LMArena Text: writing and language1429Not measuredOnly Grok 4.6 measured
LMArena Text: entertainment and media1421Not measuredOnly Grok 4.6 measured
LMArena Vision: English1270Not measuredOnly Grok 4.6 measured
LMArena Vision: Chinese1289Not measuredOnly Grok 4.6 measured
LMArena Vision: reading text1272Not measuredOnly Grok 4.6 measured
LMArena Vision: humor1270Not measuredOnly Grok 4.6 measured
LMArena Vision: creative writing1262Not measuredOnly Grok 4.6 measured
LMArena Document1452Not measuredOnly Grok 4.6 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 4.6 and Qwen3.7 Max
BenchmarkGrok 4.6Qwen3.7 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

Grok 4.6$0.0050Fits in one request
Qwen3.7 Max$0.0037Fits in one request

Qwen3.7 Max costs less

Repository review

50K input + 3K output tokens

Grok 4.6$0.118Fits in one request
Qwen3.7 Max$0.087Fits in one request

Qwen3.7 Max costs less

Agent loop

200K input + 10K output tokens

Grok 4.6$0.460Fits in one request
Qwen3.7 Max$0.339Fits in one request

Qwen3.7 Max 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 4.6 and Qwen3.7 Max
SpecificationSpaceXAI Grok 4.6Qwen3.7 Max
MakerxAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 12, 2026May 21, 2026
Context window500K1M
Input $/Mtok$2.00$1.475
Output $/Mtok$6.00$4.425
Coding index76.445.1
Independent measurements behind it21
Cost per solved task$0.82$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.6 better than Qwen3.7 Max for coding?

Pick Grok 4.6 for coding: it scores 76.4 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when output tokens cost 1.4x less, or when the context window is larger, 1M against 500K tokens.

Which is cheaper, Grok 4.6 or Qwen3.7 Max?

Grok 4.6 costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Grok 4.6 costs $0.82 and Qwen3.7 Max $4.69.

Which has the bigger context window, Grok 4.6 or Qwen3.7 Max?

Qwen3.7 Max, with 1M tokens against 500K.

How many benchmarks is the Grok 4.6 vs Qwen3.7 Max comparison based on?

56 benchmarks have a result for both models as of October 21, 2026. Grok 4.6's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.

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