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Gemini 4 Argon vs GPT-5.6 Sol

Gemini 4 Argon leads GPT-5.6 Sol on coding, 81.0 to 73.5 on the Vibe Coding Index, and Gemini 4 Argon costs 2.0x less per output token ($10.00 vs $20.00 per million). Updated October 22, 2026; 88 benchmarks have a result for both.

Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
74
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
11
vs boards won of 88 shared, 3 tied

Gemini 4 Argon or GPT-5.6 Sol: which to pick

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 73.5 for GPT-5.6 Sol, though on 5 benchmarks against 6.

Pick GPT-5.6 Sol for a larger context window (1.05M against 1.05M tokens) and work measured by Terminal-Bench 2.1 (Vals AI) or ALE-Bench, where it leads.

Shared results
88
Gemini 4 Argon only
6
GPT-5.6 Sol only
51
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-5.6 Sol 73.5 from 6 benchmarks.
Widest category
Agentic work, 14.5 points apart on average over 14 shared benchmarks.
Widest single gap
MirrorCode: Gemini 4 Argon 58.9% against GPT-5.6 Sol 20.0%, 38.9 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against GPT-5.6 Sol $20.00 per million output tokens, 2.0x apart.
Context window
Gemini 4 Argon takes 1.05M tokens, GPT-5.6 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-5.6 SolTies
Coding1721 tie
Intelligence20
Agentic work131
Reasoning1011 tie
Math321 tie
Knowledge70
Web design34
General191
All shared boards74113 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index172
Coding benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
LiveBench coding89.7%89.7%Tie
LMArena WebDev16781616Gemini 4 Argon
AA Coding IndexNot measured77.4Only GPT-5.6 Sol measured
LiveCodeBench (Vals AI)Not measured82.6%Only GPT-5.6 Sol measured
SWE-bench Verified (Vals AI)Not measured96.2%Only GPT-5.6 Sol measured
Terminal-Bench 4 (Vals AI)57.6%37.9%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%80.5%Gemini 4 Argon
Code migration (Vals AI)68.2%52.9%Gemini 4 Argon
ProgramBench (Vals AI)2.5%1.5%Gemini 4 Argon
IOI (Vals AI)100.0%91.2%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%85.8%GPT-5.6 Sol
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%20.0%Gemini 4 Argon
SkillsBench (Vals AI)Not measured54.1%Only GPT-5.6 Sol measured
CyberBench (Vals AI)77.9%76.3%Gemini 4 Argon
SciCode61.8%57.8%Gemini 4 Argon
Terminal-Bench Hard (Artificial Analysis run)Not measured65.9%Only GPT-5.6 Sol measured
FrontierCode47.5%47.5%Gemini 4 Argon
FrontierSWE55.0%32.2%Gemini 4 Argon
GSO-BenchNot measured76.5%Only GPT-5.6 Sol measured
WeirdMLNot measured88.8%Only GPT-5.6 Sol measured
MirrorCode58.9%20.0%Gemini 4 Argon
ALE-Bench2100.12176.9GPT-5.6 Sol
LMArena Text: coding15461496Gemini 4 Argon
LMArena Text: software and IT15561489Gemini 4 Argon
LMArena WebDev: React16921620Gemini 4 Argon
LMArena WebDev: HTML16431618Gemini 4 Argon
LMArena WebDev: from an imageNot measured1609Only GPT-5.6 Sol measured
SciCode12.3%10.8%Gemini 4 Argon
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
AA Intelligence Index52.647.0Gemini 4 Argon
Epoch Capabilities Index166.4162.8Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index131
Agentic work benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
AA Agentic IndexNot measured50.2Only GPT-5.6 Sol measured
Design Arena: agents building web appsNot measured1245Only GPT-5.6 Sol measured
Design Arena: agents building full-stack appsNot measured1261Only GPT-5.6 Sol measured
Design Arena: agents building mobile appsNot measured1248Only GPT-5.6 Sol measured
Design Arena: agents building Android appsNot measured1240Only GPT-5.6 Sol measured
Design Arena: agents building Godot gamesNot measured1260Only GPT-5.6 Sol measured
Design Arena: agents building gamesNot measured1266Only GPT-5.6 Sol measured
Design Arena: HTML slidesNot measured1236Only GPT-5.6 Sol measured
Design Arena: PowerPoint slidesNot measured1215Only GPT-5.6 Sol measured
Design Arena: spreadsheets1157Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%54.5%Gemini 4 Argon
LiveBench browser92.0%88.0%Gemini 4 Argon
LiveBench long agentic69.9%48.5%Gemini 4 Argon
SREBench (Vals AI)44.3%30.5%Gemini 4 Argon
Finance Agent (Vals AI)65.4%53.8%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%31.1%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%48.1%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%72.3%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%71.1%Gemini 4 Argon
Terminal-Bench-Science (Vals AI)44.3%20.0%Gemini 4 Argon
Vals Science Index55.4%41.5%Gemini 4 Argon
Time Horizon Index (Vals AI)52.5%23.8%Gemini 4 Argon
CUA-bench (Vals AI)4.8%8.3%GPT-5.6 Sol
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
τ²-Bench TelecomNot measured85.1%Only GPT-5.6 Sol measured
APEX-Agents82.4%Not measuredOnly Gemini 4 Argon measured
OSWorld 2.0Not measured27.3%Only GPT-5.6 Sol measured
BALROGNot measured60.0%Only GPT-5.6 Sol measured
PostTrainBenchNot measured36.2%Only GPT-5.6 Sol measured
Vending-Bench 2$13,718$9,619Gemini 4 Argon
LMArena SearchNot measured1261Only GPT-5.6 Sol measured
Neither model has a result on the other 9 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
Reasoning benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
GPQA DiamondNot measured95.2%Only GPT-5.6 Sol measured
LiveBench reasoning95.1%91.7%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%33.3%Gemini 4 Argon
MMMU Pro (Vals AI)Not measured88.8%Only GPT-5.6 Sol measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only GPT-5.6 Sol measured
Humanity's Last Exam (Artificial Analysis run)57.1%49.5%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%93.5%Gemini 4 Argon
ARC-AGI98.5%97.5%Gemini 4 Argon
ARC-AGI-291.3%92.5%GPT-5.6 Sol
SimpleBenchNot measured64.8%Only GPT-5.6 Sol measured
Chess puzzles59.0%59.0%Tie
Mystery game puzzles64.0%58.0%Gemini 4 Argon
EBR-bench64.8%44.8%Gemini 4 Argon
LMArena Text: hard prompts15461483Gemini 4 Argon
LMArena Text: expert15501517Gemini 4 Argon
LMArena Text: hard prompts in English15481477Gemini 4 Argon
LMArena Vision: diagramsNot measured1305Only GPT-5.6 Sol measured
LMArena Vision: homeworkNot measured1305Only GPT-5.6 Sol measured
Kagi LLM BenchmarkNot measured67.0%Only GPT-5.6 Sol measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 386.0%89.1%GPT-5.6 Sol
FrontierMath, tier 478.0%82.9%GPT-5.6 Sol
ProofBench99.0%83.0%Gemini 4 Argon
LMArena Text: math15361473Gemini 4 Argon
LMArena Text: mathematical work15571496Gemini 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 GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
MMLU ProNot measured89.1%Only GPT-5.6 Sol measured
LegalBench (Vals AI)88.3%87.0%Gemini 4 Argon
CorpFin (Vals AI)Not measured64.4%Only GPT-5.6 Sol measured
TaxEval (Vals AI)Not measured74.8%Only GPT-5.6 Sol measured
MortgageTax (Vals AI)Not measured67.3%Only GPT-5.6 Sol measured
MedCode (Vals AI)58.8%44.0%Gemini 4 Argon
SimpleQA Verified76.0%69.7%Gemini 4 Argon
LMArena Text: science15481455Gemini 4 Argon
LMArena Text: medicine and healthcare15551431Gemini 4 Argon
LMArena Text: legal and government15481476Gemini 4 Argon
LMArena Text: business and finance15251457Gemini 4 Argon
FACTS Benchmark SuiteNot measured52.4%Only GPT-5.6 Sol measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index34
Web design benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
Design Arena: websites13151321GPT-5.6 Sol
Design Arena: UI components13331335GPT-5.6 Sol
Design Arena: game dev13771367Gemini 4 Argon
Design Arena: data viz13321322Gemini 4 Argon
Design Arena: 3D13881384Gemini 4 Argon
Design Arena: all code categories13291341GPT-5.6 Sol
Design Arena: SVGNot measured1314Only GPT-5.6 Sol measured
Design Arena: ASCII artNot measured1304Only GPT-5.6 Sol measured
LiveBench design73.7%81.6%GPT-5.6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Gemini 4 Argon and GPT-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 SolLeader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%79.8%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%66.5%Gemini 4 Argon
SAGE (Vals AI)53.6%52.6%Gemini 4 Argon
MedScribe (Vals AI)87.4%85.2%Gemini 4 Argon
Vals Multimodal IndexNot measured72.6%Only GPT-5.6 Sol measured
IFBenchNot measured72.7%Only GPT-5.6 Sol measured
Long context reasoning (AA-LCR)79.7%84.0%GPT-5.6 Sol
DTBench97.6%95.7%Gemini 4 Argon
LMCA63.7%58.5%Gemini 4 Argon
Surface Evolver BenchNot measured93.1%Only GPT-5.6 Sol measured
Furniture assembly72.5%56.7%Gemini 4 Argon
LMArena Text15321457Gemini 4 Argon
LMArena Text: instruction following15341483Gemini 4 Argon
LMArena Text: creative writing15271449Gemini 4 Argon
LMArena VisionNot measured1281Only GPT-5.6 Sol measured
LMArena Text: English15381457Gemini 4 Argon
LMArena Text: non-English15221451Gemini 4 Argon
LMArena Text: Chinese16111525Gemini 4 Argon
LMArena Text: GermanNot measured1476Only GPT-5.6 Sol measured
LMArena Text: JapaneseNot measured1472Only GPT-5.6 Sol measured
LMArena Text: KoreanNot measured1442Only GPT-5.6 Sol measured
LMArena Text: FrenchNot measured1472Only GPT-5.6 Sol measured
LMArena Text: Spanish15031443Gemini 4 Argon
LMArena Text: Russian15341471Gemini 4 Argon
LMArena Text: PolishNot measured1459Only GPT-5.6 Sol measured
LMArena Text: multi-turn15561461Gemini 4 Argon
LMArena Text: longer queries15471481Gemini 4 Argon
LMArena Text: writing and language15291462Gemini 4 Argon
LMArena Text: entertainment and media15271450Gemini 4 Argon
LMArena Vision: EnglishNot measured1280Only GPT-5.6 Sol measured
LMArena Vision: ChineseNot measured1313Only GPT-5.6 Sol measured
LMArena Vision: reading textNot measured1290Only GPT-5.6 Sol measured
LMArena Vision: humorNot measured1246Only GPT-5.6 Sol measured
LMArena Vision: creative writingNot measured1283Only GPT-5.6 Sol measured
LMArena DocumentNot measured1483Only GPT-5.6 Sol measured
Neither model has a result on the other 10 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-5.6 Sol
BenchmarkGemini 4 ArgonGPT-5.6 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-5.6 Sol$0.014Fits in one request

Gemini 4 Argon costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
GPT-5.6 Sol$0.260Fits in one request

Gemini 4 Argon costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
GPT-5.6 Sol$1.00Fits in one request

Gemini 4 Argon 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 GPT-5.6 Sol
SpecificationGoogle Gemini 4 ArgonOpenAI GPT-5.6 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 13, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$4.00
Output $/Mtok$10.00$20.00
Coding index81.073.5
Independent measurements behind it56
Cost per solved taskNot computable$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than GPT-5.6 Sol for coding?

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 73.5 for GPT-5.6 Sol, though on 5 benchmarks against 6. Pick GPT-5.6 Sol for a larger context window (1.05M against 1.05M tokens) and work measured by Terminal-Bench 2.1 (Vals AI) or ALE-Bench, where it leads.

Which is cheaper, Gemini 4 Argon or GPT-5.6 Sol?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Cost per solved task is known for GPT-5.6 Sol only.

Which has the bigger context window, Gemini 4 Argon or GPT-5.6 Sol?

GPT-5.6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 4 Argon vs GPT-5.6 Sol comparison based on?

88 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-5.6 Sol's on 6. Where only one model has a result, the page says so instead of naming a winner.

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