Grok 4.20 vs Qwen3.7 Max

Qwen3.7 Max leads Grok 4.20 on coding, 54.1 to 33.3 on the Vibe Coding Index, and Grok 4.20 costs 1.8x less per output token ($2.50 vs $4.425 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace Grok 4.20 Replace Qwen3.7 Max

Grok 4.20xAI

Coding: 33.3
Overall: 41.0
Output $/M: $2.50

Qwen3.7 MaxQwen

Coding: 54.1
Overall: 61.7
Output $/M: $4.425

vs boards won of 40 shared

Grok 4.20 or Qwen3.7 Max: which to pick

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 33.3 for Grok 4.20.

Pick Grok 4.20 for output tokens 1.8x cheaper ($2.50 vs $4.425 per million) and a lower cost per solved task ($0.72 against $4.69).

Model AGrok 4.20xAI33.3/1002 independent benchmarks$0.72 per solved task Model BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task

401519

Shared results: 40
Grok 4.20 only: 15
Qwen3.7 Max only: 19
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.

Coding
Vibe Coding Index, six public coding benchmarks
Qwen3.7 Max
Qwen3.7 Max scores 54.1 against 33.3.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Max has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
Qwen3.7 Max
Qwen3.7 Max leads, 90.2% against 88.6%.
Same board, both measured
Math
AIME
No call
Only Grok 4.20 has a AIME result, 96.5%.
Directional only
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 86.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1229.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.20
Grok 4.20 $0.0025, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.20
Grok 4.20 $0.72, Qwen3.7 Max $4.69.
Published attempt cost and pass rate

At a glance

Coding index: Grok 4.20 33.3 from 2 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category: Coding, 15.4 points apart on average over 6 shared benchmarks.
Widest single gap: Excel Modeling Benchmark (Vals AI): Grok 4.20 11.7% against Qwen3.7 Max 57.0%, 45.3 points apart on a 0 to 100 scale.
Output price: Grok 4.20 $2.50 against Qwen3.7 Max $4.425 per million output tokens, 1.8x apart.
Context window: Grok 4.20 takes 2M 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
Category	Grok 4.20	Qwen3.7 Max
Coding	1	5
Intelligence	0	2
Agentic work	1	10
Reasoning	0	3
Knowledge	0	5
Web design	0	8
General	1	4
All shared boards	3	37

CodingLike-for-likeSix of these boards feed the Vibe Coding Index15

Coding benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
LMArena WebDev	Not measured	1515	Only Qwen3.7 Max measured
AA Coding Index	Not measured	66.0	Only Qwen3.7 Max measured
LiveCodeBench (Vals AI)	84.3%	87.1%	Qwen3.7 Max
SWE-bench Verified (Vals AI)	72.2%	68.8%	Grok 4.20
Vibe Code Bench (Vals AI)	4.1%	47.7%	Qwen3.7 Max
Code migration (Vals AI)	0.3%	13.1%	Qwen3.7 Max
Terminal-Bench 2.1 (Vals AI)	44.2%	61.0%	Qwen3.7 Max
SciCode	Not measured	49.5%	Only Qwen3.7 Max measured
Terminal-Bench Hard (Artificial Analysis run)	37.9%	50.8%	Qwen3.7 Max
Terminal-Bench	57.3%	Not measured	Only Grok 4.20 measured
WeirdML	52.3%	Not measured	Only Grok 4.20 measured
ALE-Bench	Not measured	1189.4	Only Qwen3.7 Max measured
LMArena WebDev: React	Not measured	1514	Only Qwen3.7 Max measured
LMArena WebDev: HTML	Not measured	1512	Only Qwen3.7 Max measured
Neither model has a result on the other 25 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
AA Intelligence Index	25.7	29.5	Qwen3.7 Max
Epoch Capabilities Index	152.1	154.0	Qwen3.7 Max

Agentic workLike-for-likePublic boards, shown as published, kept out of the index110

Agentic work benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
AA Agentic Index	Not measured	22.5	Only Qwen3.7 Max measured
Design Arena: agents building web apps	1144	1208	Qwen3.7 Max
Design Arena: agents building full-stack apps	1054	1191	Qwen3.7 Max
Design Arena: agents building mobile apps	1090	1155	Qwen3.7 Max
Design Arena: agents building Android apps	1045	1159	Qwen3.7 Max
Design Arena: agents building Godot games	1089	1187	Qwen3.7 Max
Design Arena: agents building games	Not measured	1161	Only Qwen3.7 Max measured
Design Arena: HTML slides	1180	1108	Grok 4.20
Design Arena: PowerPoint slides	Not measured	1171	Only Qwen3.7 Max measured
Finance Agent (Vals AI)	28.5%	47.8%	Qwen3.7 Max
Tax Agent Bench (Vals AI)	7.0%	15.8%	Qwen3.7 Max
Legal Research Bench (Vals AI)	13.9%	25.5%	Qwen3.7 Max
Excel Modeling Benchmark (Vals AI)	11.7%	57.0%	Qwen3.7 Max
τ²-Bench Telecom	93.0%	94.7%	Qwen3.7 Max
Vending-Bench 2	$4,663	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 26 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index03

Reasoning benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
GPQA Diamond	88.6%	90.2%	Qwen3.7 Max
MMMU Pro (Vals AI)	83.5%	Not measured	Only Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)	91.1%	92.3%	Qwen3.7 Max
Humanity's Last Exam (Artificial Analysis run)	34.5%	40.5%	Qwen3.7 Max
GPQA Diamond (Epoch AI run)	Not measured	90.9%	Only Qwen3.7 Max measured
ARC-AGI	89.5%	Not measured	Only Grok 4.20 measured
ARC-AGI-2	65.1%	Not measured	Only Grok 4.20 measured
SimpleBench	Not measured	70.4%	Only Qwen3.7 Max measured
Chess puzzles	Not measured	26.0%	Only Qwen3.7 Max measured
Mystery game puzzles	Not measured	32.0%	Only Qwen3.7 Max measured
EBR-bench	Not measured	9.5%	Only Qwen3.7 Max measured
Kagi LLM Benchmark	75.0%	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 10 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared

Math benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
AIME	96.5%	Not measured	Only Grok 4.20 measured
OTIS Mock AIME	Not measured	95.6%	Only Qwen3.7 Max measured
FrontierMath, tiers 1 to 3	Not measured	64.6%	Only Qwen3.7 Max measured
FrontierMath, tier 4	Not measured	34.1%	Only Qwen3.7 Max measured
ProofBench	Not measured	26.0%	Only Qwen3.7 Max measured
Neither model has a result on the other 8 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05

Knowledge benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
MMLU Pro	86.3%	89.3%	Qwen3.7 Max
LegalBench (Vals AI)	77.7%	84.9%	Qwen3.7 Max
CaseLaw (Vals AI)	54.4%	Not measured	Only Grok 4.20 measured
CorpFin (Vals AI)	63.7%	63.7%	Qwen3.7 Max
TaxEval (Vals AI)	74.1%	75.3%	Qwen3.7 Max
MortgageTax (Vals AI)	45.4%	Not measured	Only Grok 4.20 measured
MedQA (Vals AI)	94.5%	Not measured	Only Grok 4.20 measured
MedCode (Vals AI)	32.2%	38.8%	Qwen3.7 Max
SimpleQA Verified	Not measured	55.8%	Only Qwen3.7 Max measured
Neither model has a result on the other 9 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index08

Web design benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
Design Arena: websites	1229	1274	Qwen3.7 Max
Design Arena: UI components	1200	1267	Qwen3.7 Max
Design Arena: game dev	1193	1264	Qwen3.7 Max
Design Arena: data viz	1217	1275	Qwen3.7 Max
Design Arena: 3D	1193	1265	Qwen3.7 Max
Design Arena: all code categories	1221	1275	Qwen3.7 Max
Design Arena: SVG	1165	1216	Qwen3.7 Max
Design Arena: ASCII art	1175	1211	Qwen3.7 Max
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index14

General benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
SAGE (Vals AI)	38.2%	Not measured	Only Grok 4.20 measured
MedScribe (Vals AI)	63.4%	79.4%	Qwen3.7 Max
Vals Multimodal Index	39.1%	Not measured	Only Grok 4.20 measured
IFBench	81.2%	80.5%	Grok 4.20
Long context reasoning (AA-LCR)	69.0%	79.0%	Qwen3.7 Max
DTBench	90.1%	92.3%	Qwen3.7 Max
LMCA	38.7%	44.0%	Qwen3.7 Max
CL-bench	22.2%	Not measured	Only Grok 4.20 measured
CL-bench Life	11.9%	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 37 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Grok 4.20 and Qwen3.7 Max
Benchmark	Grok 4.20	Qwen3.7 Max	Leader
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 4.20$0.0025Fits in one request

Qwen3.7 Max$0.0037Fits in one request

Grok 4.20 costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request

Qwen3.7 Max$0.087Fits in one request

Grok 4.20 costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request

Qwen3.7 Max$0.339Fits in one request

Grok 4.20 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 4.20 and Qwen3.7 Max
Specification	SpaceXAI Grok 4.20	Qwen3.7 Max
Maker	xAI	Qwen
Weights	No public weights listed	No public weights listed
Released	March 31, 2026	May 21, 2026
Context window	2M	1M
Input $/Mtok	$1.25	$1.475
Output $/Mtok	$2.50	$4.425
Coding index	33.3	54.1
Independent measurements behind it	2	3
Cost per solved task	$0.72	$4.69
Source	OpenRouter listing	OpenRouter listing

Questions

Is Grok 4.20 better than Qwen3.7 Max for coding?

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 33.3 for Grok 4.20. Pick Grok 4.20 for output tokens 1.8x cheaper ($2.50 vs $4.425 per million) and a lower cost per solved task ($0.72 against $4.69).

Which is cheaper, Grok 4.20 or Qwen3.7 Max?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and Qwen3.7 Max $4.69.

Which has the bigger context window, Grok 4.20 or Qwen3.7 Max?

Grok 4.20, with 2M tokens against 1M.

How many benchmarks is the Grok 4.20 vs Qwen3.7 Max comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.

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Grok 4.20 or Qwen3.7 Max: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next