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Gemini 4 Argon vs Qwen3.8 Max (0902)

Gemini 4 Argon leads Qwen3.8 Max (0902) on coding, 81.0 to 62.4 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
71
Qwen3.8 Max (0902)Qwen
Coding
62.4
Overall
68.9
Output $/M
$6.00
6
vs boards won of 78 shared, 1 tied

Gemini 4 Argon or Qwen3.8 Max (0902): which to pick

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902).

Pick Qwen3.8 Max (0902) for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI) or LMArena WebDev: React, where it leads.

Shared results
78
Gemini 4 Argon only
16
Qwen3.8 Max (0902) only
35
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
Gemini 4 Argon 81.0 from 5 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category
Agentic work, 22.4 points apart on average over 10 shared benchmarks.
Widest single gap
LiveBench browser: Gemini 4 Argon 92.0% against Qwen3.8 Max (0902) 32.0%, 60.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.7x apart.
Context window
Gemini 4 Argon takes 1.05M 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
CategoryGemini 4 ArgonBarsQwen3.8 Max (0902)Ties
Coding143
Intelligence20
Agentic work100
Reasoning90
Math501 tie
Knowledge70
Web design52
General191
All shared boards7161 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index143
Coding benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
LiveBench coding89.7%60.3%Gemini 4 Argon
LMArena WebDev16781674Gemini 4 Argon
AA Coding IndexNot measured76.2Only Qwen3.8 Max (0902) measured
LiveCodeBench (Vals AI)Not measured87.8%Only Qwen3.8 Max (0902) measured
SWE-bench Verified (Vals AI)Not measured85.6%Only Qwen3.8 Max (0902) measured
Terminal-Bench 4 (Vals AI)57.6%34.3%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%64.7%Gemini 4 Argon
Code migration (Vals AI)68.2%24.0%Gemini 4 Argon
ProgramBench (Vals AI)2.5%0.0%Gemini 4 Argon
IOI (Vals AI)100.0%68.9%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%67.4%Qwen3.8 Max (0902)
SWE-bench Multimodal (Vals AI)56.0%42.5%Gemini 4 Argon
Vibe Code Bench 1-100 (Vals AI)21.2%12.8%Gemini 4 Argon
SkillsBench (Vals AI)Not measured42.0%Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)77.9%28.6%Gemini 4 Argon
SciCode61.8%53.2%Gemini 4 Argon
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%17.8%Gemini 4 Argon
MirrorCode58.9%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.1Not measuredOnly Gemini 4 Argon measured
LMArena Text: coding15461502Gemini 4 Argon
LMArena Text: software and IT15561498Gemini 4 Argon
LMArena WebDev: React16921692Qwen3.8 Max (0902)
LMArena WebDev: HTML16431649Qwen3.8 Max (0902)
LMArena WebDev: from an imageNot measured1637Only Qwen3.8 Max (0902) measured
SciCode12.3%Not measuredOnly Gemini 4 Argon 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 Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
AA Intelligence Index52.645.4Gemini 4 Argon
Epoch Capabilities Index166.4157.4Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
Agentic work benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
AA Agentic IndexNot measured56.0Only Qwen3.8 Max (0902) measured
Design Arena: agents building web appsNot measured1300Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack appsNot measured1305Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile appsNot measured1224Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android appsNot measured1193Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot gamesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slidesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets1173991Gemini 4 Argon
LiveBench research83.1%69.9%Gemini 4 Argon
LiveBench browser92.0%32.0%Gemini 4 Argon
LiveBench long agentic69.9%42.3%Gemini 4 Argon
SREBench (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Finance Agent (Vals AI)65.4%50.6%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%32.1%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%47.6%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)27.1%Not measuredOnly Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)75.2%60.1%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%12.9%Gemini 4 Argon
Vals Science Index55.4%Not measuredOnly Gemini 4 Argon measured
Time Horizon Index (Vals AI)52.5%Not measuredOnly Gemini 4 Argon measured
CUA-bench (Vals AI)4.8%Not measuredOnly Gemini 4 Argon measured
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
APEX-Agents82.4%63.3%Gemini 4 Argon
Vending-Bench 2$13,718Not measuredOnly Gemini 4 Argon measured
LMArena SearchNot measured1261Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
GPQA DiamondNot measured93.7%Only Qwen3.8 Max (0902) measured
LiveBench reasoning95.1%88.2%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%23.9%Gemini 4 Argon
MMMU Pro (Vals AI)Not measured88.0%Only Qwen3.8 Max (0902) measured
GPQA Diamond (Artificial Analysis run)Not measured92.8%Only Qwen3.8 Max (0902) measured
Humanity's Last Exam (Artificial Analysis run)57.1%43.1%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%92.7%Gemini 4 Argon
ARC-AGI98.5%Not measuredOnly Gemini 4 Argon measured
ARC-AGI-291.3%Not measuredOnly Gemini 4 Argon measured
Chess puzzles59.0%46.0%Gemini 4 Argon
Mystery game puzzles64.0%38.0%Gemini 4 Argon
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts15461496Gemini 4 Argon
LMArena Text: expert15501507Gemini 4 Argon
LMArena Text: hard prompts in English15481503Gemini 4 Argon
LMArena Vision: diagramsNot measured1323Only Qwen3.8 Max (0902) measured
LMArena Vision: homeworkNot measured1336Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 386.0%74.7%Gemini 4 Argon
FrontierMath, tier 478.0%46.3%Gemini 4 Argon
ProofBench99.0%58.0%Gemini 4 Argon
LMArena Text: math15361501Gemini 4 Argon
LMArena Text: mathematical work15571491Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
MMLU ProNot measured88.6%Only Qwen3.8 Max (0902) measured
LegalBench (Vals AI)88.3%83.6%Gemini 4 Argon
CorpFin (Vals AI)Not measured65.8%Only Qwen3.8 Max (0902) measured
TaxEval (Vals AI)Not measured75.5%Only Qwen3.8 Max (0902) measured
MortgageTax (Vals AI)Not measured64.0%Only Qwen3.8 Max (0902) measured
MedCode (Vals AI)58.8%40.7%Gemini 4 Argon
SimpleQA Verified76.0%47.3%Gemini 4 Argon
LMArena Text: science15481512Gemini 4 Argon
LMArena Text: medicine and healthcare15551503Gemini 4 Argon
LMArena Text: legal and government15481492Gemini 4 Argon
LMArena Text: business and finance15251480Gemini 4 Argon
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index52
Web design benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
Design Arena: websites13161275Gemini 4 Argon
Design Arena: UI components13331336Qwen3.8 Max (0902)
Design Arena: game dev13761313Gemini 4 Argon
Design Arena: data viz13311282Gemini 4 Argon
Design Arena: 3D13891336Gemini 4 Argon
Design Arena: all code categories13291292Gemini 4 Argon
Design Arena: ASCII artNot measured1200Only Qwen3.8 Max (0902) measured
LiveBench design73.7%78.6%Qwen3.8 Max (0902)
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 Max (0902)Leader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%78.4%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%67.1%Gemini 4 Argon
SAGE (Vals AI)53.6%51.2%Gemini 4 Argon
MedScribe (Vals AI)87.4%85.0%Gemini 4 Argon
Vals Multimodal IndexNot measured65.4%Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)79.7%80.3%Qwen3.8 Max (0902)
DTBench97.6%92.0%Gemini 4 Argon
LMCA63.7%46.2%Gemini 4 Argon
Furniture assembly72.5%20.0%Gemini 4 Argon
LMArena Text15321483Gemini 4 Argon
LMArena Text: instruction following15341481Gemini 4 Argon
LMArena Text: creative writing15271477Gemini 4 Argon
LMArena VisionNot measured1313Only Qwen3.8 Max (0902) measured
LMArena Text: English15381491Gemini 4 Argon
LMArena Text: non-English15221473Gemini 4 Argon
LMArena Text: Chinese16111539Gemini 4 Argon
LMArena Text: GermanNot measured1478Only Qwen3.8 Max (0902) measured
LMArena Text: JapaneseNot measured1473Only Qwen3.8 Max (0902) measured
LMArena Text: KoreanNot measured1460Only Qwen3.8 Max (0902) measured
LMArena Text: FrenchNot measured1498Only Qwen3.8 Max (0902) measured
LMArena Text: Spanish15031489Gemini 4 Argon
LMArena Text: Russian15341482Gemini 4 Argon
LMArena Text: PolishNot measured1471Only Qwen3.8 Max (0902) measured
LMArena Text: multi-turn15561489Gemini 4 Argon
LMArena Text: longer queries15471488Gemini 4 Argon
LMArena Text: writing and language15291477Gemini 4 Argon
LMArena Text: entertainment and media15271464Gemini 4 Argon
LMArena Vision: EnglishNot measured1311Only Qwen3.8 Max (0902) measured
LMArena Vision: ChineseNot measured1358Only Qwen3.8 Max (0902) measured
LMArena Vision: reading textNot measured1322Only Qwen3.8 Max (0902) measured
LMArena Vision: humorNot measured1304Only Qwen3.8 Max (0902) measured
LMArena Vision: creative writingNot measured1312Only Qwen3.8 Max (0902) 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 Gemini 4 Argon and Qwen3.8 Max (0902)
BenchmarkGemini 4 ArgonQwen3.8 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

Gemini 4 Argon$0.0070Fits in one request
Qwen3.8 Max (0902)$0.0050Fits in one request

Qwen3.8 Max (0902) costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request

Qwen3.8 Max (0902) costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
Qwen3.8 Max (0902)$0.460Fits in one request

Qwen3.8 Max (0902) 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 Gemini 4 Argon and Qwen3.8 Max (0902)
SpecificationGoogle Gemini 4 ArgonQwen3.8 Max (0902)
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedOctober 13, 2026September 3, 2026
Context window1.05M1M
Input $/Mtok$2.00$2.00
Output $/Mtok$10.00$6.00
Coding index81.062.4
Independent measurements behind it55
Cost per solved taskNot computable$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than Qwen3.8 Max (0902) for coding?

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902). Pick Qwen3.8 Max (0902) for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI) or LMArena WebDev: React, where it leads.

Which is cheaper, Gemini 4 Argon or Qwen3.8 Max (0902)?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.

Which has the bigger context window, Gemini 4 Argon or Qwen3.8 Max (0902)?

Gemini 4 Argon, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 4 Argon vs Qwen3.8 Max (0902) comparison based on?

78 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 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.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-4-argon-vs-qwen3-8-max-0902" title="Gemini 4 Argon 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/gemini-4-argon-vs-qwen3-8-max-0902">LLMBenchmark.ai, Gemini 4 Argon vs Qwen3.8 Max (0902)</a></p>