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Gemini 4 Argon vs GPT-6 Sol

Gemini 4 Argon leads GPT-6 Sol on coding, 81.0 to 76.0 on the Vibe Coding Index, at about the same output price ($10.00 vs $10.00 per million). Updated October 22, 2026; 82 benchmarks have a result for both.

Replace Gemini 4 Argon Replace GPT-6 Sol
Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
68
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
12
vs boards won of 82 shared, 2 tied

Gemini 4 Argon or GPT-6 Sol: which to pick

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 76.0 for GPT-6 Sol.

Pick GPT-6 Sol for a larger context window (1.05M against 1.05M tokens) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Model AGemini 4 ArgonGoogle81.0/1005 independent benchmarksNo cost per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
82
Gemini 4 Argon only
12
GPT-6 Sol only
19
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, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Knowledge, 22.4 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: Gemini 4 Argon 1555 against GPT-6 Sol 1366, 31.4 points apart on a 0 to 100 scale.
Output price
Both cost $10.00 per million output tokens.
Context window
Gemini 4 Argon takes 1.05M tokens, GPT-6 Sol 1.05M.

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 ArgonBarsGPT-6 SolTies
Coding97
Intelligence20
Agentic work1111 tie
Reasoning120
Math321 tie
Knowledge60
Web design61
General191
All shared boards68122 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index97
Coding benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
LiveBench coding89.7%93.1%GPT-6 Sol
LMArena WebDev16781683GPT-6 Sol
Terminal-Bench 4 (Vals AI)57.6%44.4%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%87.8%Gemini 4 Argon
Code migration (Vals AI)68.2%57.2%Gemini 4 Argon
ProgramBench (Vals AI)2.5%2.0%Gemini 4 Argon
IOI (Vals AI)100.0%82.6%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%83.2%GPT-6 Sol
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%Not measuredOnly Gemini 4 Argon measured
CyberBench (Vals AI)77.9%78.0%GPT-6 Sol
SciCode61.8%57.6%Gemini 4 Argon
FrontierCode47.5%49.3%GPT-6 Sol
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
MirrorCode58.9%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.12462.0GPT-6 Sol
LMArena Text: coding15461448Gemini 4 Argon
LMArena Text: software and IT15561433Gemini 4 Argon
LMArena WebDev: React16921685Gemini 4 Argon
LMArena WebDev: HTML16431685GPT-6 Sol
LMArena WebDev: from an imageNot measured1660Only GPT-6 Sol measured
SciCode12.3%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
AA Intelligence Index52.647.6Gemini 4 Argon
Epoch Capabilities Index166.4163.7Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index111
Agentic work benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
Design Arena: agents building web appsNot measured1231Only GPT-6 Sol measured
Design Arena: agents building full-stack appsNot measured1238Only GPT-6 Sol measured
Design Arena: agents building mobile appsNot measured1217Only GPT-6 Sol measured
Design Arena: spreadsheets1157Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%69.3%Gemini 4 Argon
LiveBench browser92.0%92.0%Tie
LiveBench long agentic69.9%66.9%Gemini 4 Argon
SREBench (Vals AI)44.3%30.5%Gemini 4 Argon
Finance Agent (Vals AI)65.4%49.0%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%15.0%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%28.9%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%71.5%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%74.8%Gemini 4 Argon
Terminal-Bench-Science (Vals AI)44.3%30.0%Gemini 4 Argon
Vals Science Index55.4%45.0%Gemini 4 Argon
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%54.3%Gemini 4 Argon
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$13,718$14,428GPT-6 Sol
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
LiveBench reasoning95.1%88.7%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%30.2%Gemini 4 Argon
Humanity's Last Exam (Artificial Analysis run)57.1%47.9%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%94.3%Gemini 4 Argon
ARC-AGI98.5%95.5%Gemini 4 Argon
ARC-AGI-291.3%89.6%Gemini 4 Argon
Chess puzzles59.0%56.0%Gemini 4 Argon
Mystery game puzzles64.0%56.0%Gemini 4 Argon
EBR-bench64.8%53.3%Gemini 4 Argon
LMArena Text: hard prompts15461422Gemini 4 Argon
LMArena Text: expert15501437Gemini 4 Argon
LMArena Text: hard prompts in English15481420Gemini 4 Argon
LMArena Vision: diagramsNot measured1270Only GPT-6 Sol measured
LMArena Vision: homeworkNot measured1286Only GPT-6 Sol measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 386.0%89.8%GPT-6 Sol
FrontierMath, tier 478.0%90.0%GPT-6 Sol
ProofBench99.0%83.0%Gemini 4 Argon
LMArena Text: math15361407Gemini 4 Argon
LMArena Text: mathematical work15571424Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
LegalBench (Vals AI)88.3%Not measuredOnly Gemini 4 Argon measured
MedCode (Vals AI)58.8%47.1%Gemini 4 Argon
SimpleQA Verified76.0%60.7%Gemini 4 Argon
LMArena Text: science15481389Gemini 4 Argon
LMArena Text: medicine and healthcare15551366Gemini 4 Argon
LMArena Text: legal and government15481396Gemini 4 Argon
LMArena Text: business and finance15251380Gemini 4 Argon
FACTS Benchmark SuiteNot measured72.5%Only GPT-6 Sol measured
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
Design Arena: websites13151292Gemini 4 Argon
Design Arena: UI components13331290Gemini 4 Argon
Design Arena: game dev13771311Gemini 4 Argon
Design Arena: data viz13321269Gemini 4 Argon
Design Arena: 3D13881314Gemini 4 Argon
Design Arena: all code categories13291300Gemini 4 Argon
Design Arena: SVGNot measured1315Only GPT-6 Sol measured
Design Arena: ASCII artNot measured1222Only GPT-6 Sol measured
LiveBench design73.7%82.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Gemini 4 Argon and GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%81.2%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%56.6%Gemini 4 Argon
SAGE (Vals AI)53.6%44.8%Gemini 4 Argon
MedScribe (Vals AI)87.4%82.0%Gemini 4 Argon
Long context reasoning (AA-LCR)79.7%83.7%GPT-6 Sol
DTBench97.6%97.3%Gemini 4 Argon
LMCA63.7%59.1%Gemini 4 Argon
Furniture assembly72.5%58.3%Gemini 4 Argon
LMArena Text15321398Gemini 4 Argon
LMArena Text: instruction following15341413Gemini 4 Argon
LMArena Text: creative writing15271378Gemini 4 Argon
LMArena VisionNot measured1240Only GPT-6 Sol measured
LMArena Text: English15381396Gemini 4 Argon
LMArena Text: non-English15221388Gemini 4 Argon
LMArena Text: Chinese16111412Gemini 4 Argon
LMArena Text: GermanNot measured1379Only GPT-6 Sol measured
LMArena Text: JapaneseNot measured1377Only GPT-6 Sol measured
LMArena Text: KoreanNot measured1336Only GPT-6 Sol measured
LMArena Text: FrenchNot measured1399Only GPT-6 Sol measured
LMArena Text: Spanish15031387Gemini 4 Argon
LMArena Text: Russian15341402Gemini 4 Argon
LMArena Text: PolishNot measured1372Only GPT-6 Sol measured
LMArena Text: multi-turn15561414Gemini 4 Argon
LMArena Text: longer queries15471416Gemini 4 Argon
LMArena Text: writing and language15291389Gemini 4 Argon
LMArena Text: entertainment and media15271373Gemini 4 Argon
LMArena Vision: EnglishNot measured1229Only GPT-6 Sol measured
LMArena Vision: reading textNot measured1258Only GPT-6 Sol measured
LMArena Vision: creative writingNot measured1219Only GPT-6 Sol measured
Neither model has a result on the other 16 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 GPT-6 Sol
BenchmarkGemini 4 ArgonGPT-6 SolLeader
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
GPT-6 Sol$0.0070Fits in one request

Same cost

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
GPT-6 Sol$0.130Fits in one request

Same cost

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
GPT-6 Sol$0.500Fits in one request

Same cost

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 GPT-6 Sol
SpecificationGoogle Gemini 4 ArgonOpenAI GPT-6 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 13, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$2.00
Output $/Mtok$10.00$10.00
Coding index81.076.0
Independent measurements behind it55
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than GPT-6 Sol for coding?

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 76.0 for GPT-6 Sol. Pick GPT-6 Sol for a larger context window (1.05M against 1.05M tokens) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Which is cheaper, Gemini 4 Argon or GPT-6 Sol?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-6 Sol costs $2.00 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 4 Argon or GPT-6 Sol?

GPT-6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 4 Argon vs GPT-6 Sol comparison based on?

82 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and GPT-6 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-4-argon-vs-gpt-6-sol">LLMBenchmark.ai, Gemini 4 Argon vs GPT-6 Sol</a></p>