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Gemini 4 Argon vs GPT-6.1 Sol

Updated October 21, 2026. 85 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 4 Argon Replace GPT-6.1 Sol
Gemini 4 ArgonGoogle
Coding
80.5
Overall
52.6
Output $/M
$10.00
53
GPT-6.1 SolOpenAI
Coding
88.7
Overall
51.8
Output $/M
$10.00
29
vs boards won of 85 shared, 3 tied

Decision reading

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 80.5 for Gemini 4 Argon.

Pick Gemini 4 Argon when what matters is Terminal-Bench 4 (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Model AGemini 4 ArgonGoogle80.5/1002 independent benchmarksNo cost per solved taskModel BGPT-6.1 SolOpenAI88.7/1002 independent benchmarksNo cost per solved task
Shared results
85
Gemini 4 Argon only
7
GPT-6.1 Sol only
10
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
Gemini 4 Argon 80.5 from 2 benchmarks, GPT-6.1 Sol 88.7 from 2 benchmarks.
Widest category
Knowledge, 12.6 points apart on average over 6 shared benchmarks.
Widest single gap
CyberBench (Vals AI): Gemini 4 Argon 77.9% against GPT-6.1 Sol 39.3%, 38.6 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-6.1 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-6.1 SolTies
Coding97
Intelligence11
Agentic work78
Reasoning741 tie
Math222 ties
Knowledge60
Web design25
General192
All shared boards53293 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index97
Coding benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
LiveBench coding89.7%96.0%GPT-6.1 Sol
LMArena WebDev16781753GPT-6.1 Sol
Terminal-Bench 4 (Vals AI)57.6%55.0%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%88.9%Gemini 4 Argon
Code migration (Vals AI)68.2%65.1%Gemini 4 Argon
ProgramBench (Vals AI)2.5%3.0%GPT-6.1 Sol
IOI (Vals AI)100.0%96.9%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%Not measuredOnly Gemini 4 Argon measured
SWE-bench Multimodal (Vals AI)56.0%43.5%Gemini 4 Argon
Vibe Code Bench 1-100 (Vals AI)21.2%Not measuredOnly Gemini 4 Argon measured
CyberBench (Vals AI)77.9%39.3%Gemini 4 Argon
SciCode61.8%55.8%Gemini 4 Argon
FrontierCode47.5%50.2%GPT-6.1 Sol
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.12743.8GPT-6.1 Sol
LMArena Text: coding15461478Gemini 4 Argon
LMArena Text: software and IT15561476Gemini 4 Argon
LMArena WebDev: React16921754GPT-6.1 Sol
LMArena WebDev: HTML16431800GPT-6.1 Sol
LMArena WebDev: from an imageNot measured1702Only GPT-6.1 Sol measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
AA Intelligence Index52.651.8Gemini 4 Argon
Epoch Capabilities Index166.4168.4GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index78
Agentic work benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
Design Arena: agents building mobile appsNot measured1190Only GPT-6.1 Sol measured
Design Arena: spreadsheets11511250GPT-6.1 Sol
LiveBench research83.1%83.5%GPT-6.1 Sol
LiveBench browser92.0%88.0%Gemini 4 Argon
LiveBench long agentic69.9%73.0%GPT-6.1 Sol
SREBench (Vals AI)44.3%50.8%GPT-6.1 Sol
Finance Agent (Vals AI)65.4%52.0%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%21.8%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%38.5%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)27.1%6.3%Gemini 4 Argon
Excel Modeling Benchmark (Vals AI)75.2%70.8%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%79.6%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)44.3%52.9%GPT-6.1 Sol
Vals Science Index55.4%59.6%GPT-6.1 Sol
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%28.3%GPT-6.1 Sol
APEX-Agents82.4%60.0%Gemini 4 Argon
SpireClimbNot measured24.7%Only GPT-6.1 Sol measured
Vending-Bench 2$13,718Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index74
Reasoning benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
LiveBench reasoning95.1%92.6%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%46.4%GPT-6.1 Sol
Humanity's Last Exam (Artificial Analysis run)57.1%52.9%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%95.4%Gemini 4 Argon
ARC-AGI98.5%98.5%Tie
ARC-AGI-291.3%94.2%GPT-6.1 Sol
Chess puzzles59.0%68.0%GPT-6.1 Sol
Mystery game puzzles64.0%80.0%GPT-6.1 Sol
EBR-bench64.8%54.3%Gemini 4 Argon
LMArena Text: hard prompts15461463Gemini 4 Argon
LMArena Text: expert15501489Gemini 4 Argon
LMArena Text: hard prompts in English15481465Gemini 4 Argon
LMArena Vision: diagramsNot measured1306Only GPT-6.1 Sol measured
LMArena Vision: homeworkNot measured1356Only GPT-6.1 Sol measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 386.0%93.7%GPT-6.1 Sol
FrontierMath, tier 478.0%100.0%GPT-6.1 Sol
ProofBench99.0%99.0%Tie
LMArena Text: math15361489Gemini 4 Argon
LMArena Text: mathematical work15571513Gemini 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-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
LegalBench (Vals AI)88.3%Not measuredOnly Gemini 4 Argon measured
MedCode (Vals AI)58.8%48.8%Gemini 4 Argon
SimpleQA Verified76.0%73.9%Gemini 4 Argon
LMArena Text: science15481444Gemini 4 Argon
LMArena Text: medicine and healthcare15551433Gemini 4 Argon
LMArena Text: legal and government15481471Gemini 4 Argon
LMArena Text: business and finance15251445Gemini 4 Argon
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
Design Arena: websites13151321GPT-6.1 Sol
Design Arena: UI components13331321Gemini 4 Argon
Design Arena: game dev13771389GPT-6.1 Sol
Design Arena: data viz13341278Gemini 4 Argon
Design Arena: 3D13891461GPT-6.1 Sol
Design Arena: all code categories13281345GPT-6.1 Sol
LiveBench design73.7%82.1%GPT-6.1 Sol
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index192
General benchmarks for Gemini 4 Argon and GPT-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 SolLeader
Vals Index69.2%63.9%Gemini 4 Argon
LiveBench data analysis85.2%82.7%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%59.3%Gemini 4 Argon
SAGE (Vals AI)53.6%46.5%Gemini 4 Argon
MedScribe (Vals AI)87.4%86.5%Gemini 4 Argon
Long context reasoning (AA-LCR)79.7%84.0%GPT-6.1 Sol
DTBench97.6%96.5%Gemini 4 Argon
LMCA63.7%62.8%Gemini 4 Argon
Furniture assembly72.5%80.0%GPT-6.1 Sol
LMArena Text15321443Gemini 4 Argon
LMArena Text: instruction following15341466Gemini 4 Argon
LMArena Text: creative writing15271425Gemini 4 Argon
LMArena VisionNot measured1288Only GPT-6.1 Sol measured
LMArena Text: English15381450Gemini 4 Argon
LMArena Text: non-English15221433Gemini 4 Argon
LMArena Text: Chinese16111487Gemini 4 Argon
LMArena Text: FrenchNot measured1460Only GPT-6.1 Sol measured
LMArena Text: Spanish15031439Gemini 4 Argon
LMArena Text: Russian15341457Gemini 4 Argon
LMArena Text: multi-turn15561442Gemini 4 Argon
LMArena Text: longer queries15471458Gemini 4 Argon
LMArena Text: writing and language15291444Gemini 4 Argon
LMArena Text: entertainment and media15271426Gemini 4 Argon
LMArena Vision: EnglishNot measured1274Only GPT-6.1 Sol measured
LMArena Vision: reading textNot measured1289Only GPT-6.1 Sol measured
LMArena Vision: creative writingNot measured1301Only GPT-6.1 Sol measured
Neither model has a result on the other 20 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-6.1 Sol
BenchmarkGemini 4 ArgonGPT-6.1 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-6.1 Sol$0.0070Fits in one request

Same cost

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
GPT-6.1 Sol$0.130Fits in one request

Same cost

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
GPT-6.1 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-6.1 Sol
SpecificationGoogle Gemini 4 ArgonOpenAI GPT-6.1 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 13, 2026September 29, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$2.00
Output $/Mtok$10.00$10.00
Coding index80.588.7
Independent measurements behind it22
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 80.5 for Gemini 4 Argon. Pick Gemini 4 Argon when what matters is Terminal-Bench 4 (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, Gemini 4 Argon or GPT-6.1 Sol?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-6.1 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-6.1 Sol?

GPT-6.1 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 4 Argon vs GPT-6.1 Sol comparison based on?

85 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 2 independent benchmarks and GPT-6.1 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.

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