Grok 4.20 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Grok 4.20 on coding, 62.4 to 33.3 on the Vibe Coding Index, and Grok 4.20 costs 2.4x less per output token ($2.50 vs $6.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace Grok 4.20 Replace Qwen3.8 Max (0902)

Grok 4.20xAI

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

Qwen3.8 Max (0902)Qwen

Coding: 62.4
Overall: 68.9
Output $/M: $6.00

vs boards won of 39 shared

Grok 4.20 or Qwen3.8 Max (0902): which to pick

Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 33.3 for Grok 4.20.

Pick Grok 4.20 for output tokens 2.4x cheaper ($2.50 vs $6.00 per million) and a lower cost per solved task ($0.72 against $1.32).

Model AGrok 4.20xAI33.3/1002 independent benchmarks$0.72 per solved task Model BQwen3.8 Max (0902)Qwen62.4/1005 independent benchmarks$1.32 per solved task

391674

Shared results: 39
Grok 4.20 only: 16
Qwen3.8 Max (0902) only: 74
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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) scores 62.4 against 33.3.
2 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% 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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 86.3%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1275 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, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.20
Grok 4.20 $0.72, Qwen3.8 Max (0902) $1.32.
Published attempt cost and pass rate

At a glance

Coding index: Grok 4.20 33.3 from 2 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category: Agentic work, 26.0 points apart on average over 9 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Grok 4.20 4.1% against Qwen3.8 Max (0902) 64.7%, 60.6 points apart on a 0 to 100 scale.
Output price: Grok 4.20 $2.50 against Qwen3.8 Max (0902) $6.00 per million output tokens, 2.4x apart.
Context window: Grok 4.20 takes 2M tokens, Qwen3.8 Max (0902) 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	Bars	Qwen3.8 Max (0902)	Ties
Coding	0		5
Intelligence	0		2
Agentic work	0		9
Reasoning	0		4
Knowledge	0		6
Web design	0		7
General	0		6
All shared boards	0		39

CodingLike-for-likeSix of these boards feed the Vibe Coding Index05

Coding benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
LiveBench coding	Not measured	60.3%	Only Qwen3.8 Max (0902) measured
LMArena WebDev	Not measured	1674	Only Qwen3.8 Max (0902) measured
AA Coding Index	Not measured	76.2	Only Qwen3.8 Max (0902) measured
LiveCodeBench (Vals AI)	84.3%	87.8%	Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)	72.2%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	Not measured	34.3%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)	4.1%	64.7%	Qwen3.8 Max (0902)
Code migration (Vals AI)	0.3%	24.0%	Qwen3.8 Max (0902)
ProgramBench (Vals AI)	Not measured	0.0%	Only Qwen3.8 Max (0902) measured
IOI (Vals AI)	Not measured	68.9%	Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)	44.2%	67.4%	Qwen3.8 Max (0902)
SWE-bench Multimodal (Vals AI)	Not measured	42.5%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	12.8%	Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)	Not measured	42.0%	Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)	Not measured	28.6%	Only Qwen3.8 Max (0902) measured
SciCode	Not measured	53.2%	Only Qwen3.8 Max (0902) measured
Terminal-Bench Hard (Artificial Analysis run)	37.9%	Not measured	Only Grok 4.20 measured
Terminal-Bench	57.3%	Not measured	Only Grok 4.20 measured
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
WeirdML	52.3%	Not measured	Only Grok 4.20 measured
LMArena Text: coding	Not measured	1502	Only Qwen3.8 Max (0902) measured
LMArena Text: software and IT	Not measured	1498	Only Qwen3.8 Max (0902) measured
LMArena WebDev: React	Not measured	1692	Only Qwen3.8 Max (0902) measured
LMArena WebDev: HTML	Not measured	1649	Only Qwen3.8 Max (0902) measured
LMArena WebDev: from an image	Not measured	1637	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 14 boards here

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

Intelligence benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	25.7	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	152.1	157.4	Qwen3.8 Max (0902)

Agentic workLike-for-likePublic boards, shown as published, kept out of the index09

Agentic work benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
AA Agentic Index	Not measured	56.0	Only Qwen3.8 Max (0902) measured
Design Arena: agents building web apps	1144	1300	Qwen3.8 Max (0902)
Design Arena: agents building full-stack apps	1054	1305	Qwen3.8 Max (0902)
Design Arena: agents building mobile apps	1090	1224	Qwen3.8 Max (0902)
Design Arena: agents building Android apps	1045	1196	Qwen3.8 Max (0902)
Design Arena: agents building Godot games	1089	1234	Qwen3.8 Max (0902)
Design Arena: HTML slides	1180	Not measured	Only Grok 4.20 measured
Design Arena: PowerPoint slides	Not measured	1233	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	Not measured	967	Only Qwen3.8 Max (0902) measured
LiveBench research	Not measured	69.9%	Only Qwen3.8 Max (0902) measured
LiveBench browser	Not measured	32.0%	Only Qwen3.8 Max (0902) measured
LiveBench long agentic	Not measured	42.3%	Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)	28.5%	50.6%	Qwen3.8 Max (0902)
Tax Agent Bench (Vals AI)	7.0%	32.1%	Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)	13.9%	47.6%	Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)	11.7%	60.1%	Qwen3.8 Max (0902)
Terminal-Bench-Science (Vals AI)	Not measured	12.9%	Only Qwen3.8 Max (0902) measured
τ²-Bench Telecom	93.0%	Not measured	Only Grok 4.20 measured
APEX-Agents	Not measured	63.3%	Only Qwen3.8 Max (0902) measured
Vending-Bench 2	$4,663	Not measured	Only Grok 4.20 measured
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 20 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index04

Reasoning benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
GPQA Diamond	88.6%	93.7%	Qwen3.8 Max (0902)
LiveBench reasoning	Not measured	88.2%	Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)	Not measured	23.9%	Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)	83.5%	88.0%	Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)	91.1%	92.8%	Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)	34.5%	43.1%	Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)	Not measured	92.7%	Only Qwen3.8 Max (0902) measured
ARC-AGI	89.5%	Not measured	Only Grok 4.20 measured
ARC-AGI-2	65.1%	Not measured	Only Grok 4.20 measured
Chess puzzles	Not measured	46.0%	Only Qwen3.8 Max (0902) measured
Mystery game puzzles	Not measured	38.0%	Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts	Not measured	1496	Only Qwen3.8 Max (0902) measured
LMArena Text: expert	Not measured	1507	Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts in English	Not measured	1503	Only Qwen3.8 Max (0902) measured
LMArena Vision: diagrams	Not measured	1323	Only Qwen3.8 Max (0902) measured
LMArena Vision: homework	Not measured	1336	Only Qwen3.8 Max (0902) measured
Kagi LLM Benchmark	75.0%	Not measured	Only Grok 4.20 measured
Neither model has a result on the other 5 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Math benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
AIME	96.5%	Not measured	Only Grok 4.20 measured
OTIS Mock AIME	Not measured	100.0%	Only Qwen3.8 Max (0902) measured
FrontierMath, tiers 1 to 3	Not measured	74.7%	Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4	Not measured	46.3%	Only Qwen3.8 Max (0902) measured
ProofBench	Not measured	58.0%	Only Qwen3.8 Max (0902) measured
LMArena Text: math	Not measured	1501	Only Qwen3.8 Max (0902) measured
LMArena Text: mathematical work	Not measured	1491	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06

Knowledge benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
MMLU Pro	86.3%	88.6%	Qwen3.8 Max (0902)
LegalBench (Vals AI)	77.7%	83.6%	Qwen3.8 Max (0902)
CaseLaw (Vals AI)	54.4%	Not measured	Only Grok 4.20 measured
CorpFin (Vals AI)	63.7%	65.8%	Qwen3.8 Max (0902)
TaxEval (Vals AI)	74.1%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	45.4%	64.0%	Qwen3.8 Max (0902)
MedQA (Vals AI)	94.5%	Not measured	Only Grok 4.20 measured
MedCode (Vals AI)	32.2%	40.7%	Qwen3.8 Max (0902)
SimpleQA Verified	Not measured	47.3%	Only Qwen3.8 Max (0902) measured
LMArena Text: science	Not measured	1512	Only Qwen3.8 Max (0902) measured
LMArena Text: medicine and healthcare	Not measured	1503	Only Qwen3.8 Max (0902) measured
LMArena Text: legal and government	Not measured	1492	Only Qwen3.8 Max (0902) measured
LMArena Text: business and finance	Not measured	1480	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 5 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index07

Web design benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1229	1275	Qwen3.8 Max (0902)
Design Arena: UI components	1200	1338	Qwen3.8 Max (0902)
Design Arena: game dev	1193	1312	Qwen3.8 Max (0902)
Design Arena: data viz	1217	1281	Qwen3.8 Max (0902)
Design Arena: 3D	1193	1336	Qwen3.8 Max (0902)
Design Arena: all code categories	1221	1293	Qwen3.8 Max (0902)
Design Arena: SVG	1165	Not measured	Only Grok 4.20 measured
Design Arena: ASCII art	1175	1200	Qwen3.8 Max (0902)
LiveBench design	Not measured	78.6%	Only Qwen3.8 Max (0902) measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index06

General benchmarks for Grok 4.20 and Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	Leader
LiveBench data analysis	Not measured	78.4%	Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)	Not measured	67.1%	Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)	38.2%	51.2%	Qwen3.8 Max (0902)
MedScribe (Vals AI)	63.4%	85.0%	Qwen3.8 Max (0902)
Vals Multimodal Index	39.1%	65.4%	Qwen3.8 Max (0902)
IFBench	81.2%	Not measured	Only Grok 4.20 measured
Long context reasoning (AA-LCR)	69.0%	80.3%	Qwen3.8 Max (0902)
DTBench	90.1%	92.0%	Qwen3.8 Max (0902)
LMCA	38.7%	46.2%	Qwen3.8 Max (0902)
CL-bench	22.2%	Not measured	Only Grok 4.20 measured
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
CL-bench Life	11.9%	Not measured	Only Grok 4.20 measured
LMArena Text	Not measured	1483	Only Qwen3.8 Max (0902) measured
LMArena Text: instruction following	Not measured	1481	Only Qwen3.8 Max (0902) measured
LMArena Text: creative writing	Not measured	1477	Only Qwen3.8 Max (0902) measured
LMArena Vision	Not measured	1313	Only Qwen3.8 Max (0902) measured
LMArena Text: English	Not measured	1491	Only Qwen3.8 Max (0902) measured
LMArena Text: non-English	Not measured	1473	Only Qwen3.8 Max (0902) measured
LMArena Text: Chinese	Not measured	1539	Only Qwen3.8 Max (0902) measured
LMArena Text: German	Not measured	1478	Only Qwen3.8 Max (0902) measured
LMArena Text: Japanese	Not measured	1473	Only Qwen3.8 Max (0902) measured
LMArena Text: Korean	Not measured	1460	Only Qwen3.8 Max (0902) measured
LMArena Text: French	Not measured	1498	Only Qwen3.8 Max (0902) measured
LMArena Text: Spanish	Not measured	1489	Only Qwen3.8 Max (0902) measured
LMArena Text: Russian	Not measured	1482	Only Qwen3.8 Max (0902) measured
LMArena Text: Polish	Not measured	1471	Only Qwen3.8 Max (0902) measured
LMArena Text: multi-turn	Not measured	1489	Only Qwen3.8 Max (0902) measured
LMArena Text: longer queries	Not measured	1488	Only Qwen3.8 Max (0902) measured
LMArena Text: writing and language	Not measured	1477	Only Qwen3.8 Max (0902) measured
LMArena Text: entertainment and media	Not measured	1464	Only Qwen3.8 Max (0902) measured
LMArena Vision: English	Not measured	1311	Only Qwen3.8 Max (0902) measured
LMArena Vision: Chinese	Not measured	1358	Only Qwen3.8 Max (0902) measured
LMArena Vision: reading text	Not measured	1322	Only Qwen3.8 Max (0902) measured
LMArena Vision: humor	Not measured	1304	Only Qwen3.8 Max (0902) measured
LMArena Vision: creative writing	Not measured	1312	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 11 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 Qwen3.8 Max (0902)
Benchmark	Grok 4.20	Qwen3.8 Max (0902)	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

Qwen3.8 Max (0902)$0.0050Fits in one request

Grok 4.20 costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request

Qwen3.8 Max (0902)$0.118Fits in one request

Grok 4.20 costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request

Qwen3.8 Max (0902)$0.460Fits 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 Qwen3.8 Max (0902)
Specification	SpaceXAI Grok 4.20	Qwen3.8 Max (0902)
Maker	xAI	Qwen
Weights	No public weights listed	No public weights listed
Released	March 31, 2026	September 3, 2026
Context window	2M	1M
Input $/Mtok	$1.25	$2.00
Output $/Mtok	$2.50	$6.00
Coding index	33.3	62.4
Independent measurements behind it	2	5
Cost per solved task	$0.72	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Grok 4.20 better than Qwen3.8 Max (0902) for coding?

Pick Qwen3.8 Max (0902) for coding: it scores 62.4 on the Vibe Coding Index against 33.3 for Grok 4.20. Pick Grok 4.20 for output tokens 2.4x cheaper ($2.50 vs $6.00 per million) and a lower cost per solved task ($0.72 against $1.32).

Which is cheaper, Grok 4.20 or Qwen3.8 Max (0902)?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Grok 4.20 or Qwen3.8 Max (0902)?

Grok 4.20, with 2M tokens against 1M.

How many benchmarks is the Grok 4.20 vs Qwen3.8 Max (0902) comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/grok-4-20-vs-qwen3-8-max-0902" title="Grok 4.20 vs Qwen3.8 Max (0902), 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-4-20-vs-qwen3-8-max-0902">LLMBenchmark.ai, Grok 4.20 vs Qwen3.8 Max (0902)</a></p>

Grok 4.20 or Qwen3.8 Max (0902): 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