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Gemini 3.1 Pro Preview vs GPT-5.6 Sol

GPT-5.6 Sol leads Gemini 3.1 Pro Preview on coding, 73.5 to 32.3 on the Vibe Coding Index, and Gemini 3.1 Pro Preview costs 1.7x less per output token ($12.00 vs $20.00 per million). Updated October 22, 2026; 121 benchmarks have a result for both.

Replace Gemini 3.1 Pro Preview Replace GPT-5.6 Sol
Gemini 3.1 Pro PreviewGoogle
Coding
32.3
Overall
54.0
Output $/M
$12.00
48
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
72
vs boards won of 121 shared, 1 tied

Gemini 3.1 Pro Preview or GPT-5.6 Sol: which to pick

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview.

Pick Gemini 3.1 Pro Preview for output tokens 1.7x cheaper ($12.00 vs $20.00 per million) and a lower cost per solved task ($0.99 against $1.20).

Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved taskModel BGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved task
Shared results
121
Gemini 3.1 Pro Preview only
12
GPT-5.6 Sol only
18
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 3.1 Pro Preview 32.3 from 4 benchmarks, GPT-5.6 Sol 73.5 from 6 benchmarks.
Widest category
Math, 25.4 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Gemini 3.1 Pro Preview 26.0% against GPT-5.6 Sol 83.0%, 57.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Pro Preview $12.00 against GPT-5.6 Sol $20.00 per million output tokens, 1.7x apart.
Context window
Gemini 3.1 Pro Preview 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 3.1 Pro PreviewBarsGPT-5.6 SolTies
Coding320
Intelligence01
Agentic work120
Reasoning881 tie
Math15
Knowledge111
Web design08
General249
All shared boards48721 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index320
Coding benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
LiveBench codingNot measured89.7%Only GPT-5.6 Sol measured
LMArena WebDev14471616GPT-5.6 Sol
AA Coding Index68.877.4GPT-5.6 Sol
LiveCodeBench (Vals AI)88.5%82.6%Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)78.8%96.2%GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)2.5%37.9%GPT-5.6 Sol
Vibe Code Bench (Vals AI)32.0%80.5%GPT-5.6 Sol
Code migration (Vals AI)17.3%52.9%GPT-5.6 Sol
ProgramBench (Vals AI)0.0%1.5%GPT-5.6 Sol
IOI (Vals AI)51.8%91.2%GPT-5.6 Sol
Terminal-Bench 2.1 (Vals AI)70.8%85.8%GPT-5.6 Sol
Vibe Code Bench 1-100 (Vals AI)6.7%20.0%GPT-5.6 Sol
SkillsBench (Vals AI)Not measured54.1%Only GPT-5.6 Sol measured
CyberBench (Vals AI)Not measured76.3%Only GPT-5.6 Sol measured
SciCode58.7%57.8%Gemini 3.1 Pro Preview
Terminal-Bench Hard (Artificial Analysis run)53.8%65.9%GPT-5.6 Sol
Terminal-Bench80.2%Not measuredOnly Gemini 3.1 Pro Preview measured
FrontierCodeNot measured47.5%Only GPT-5.6 Sol measured
FrontierSWENot measured32.2%Only GPT-5.6 Sol measured
GSO-Bench22.6%76.5%GPT-5.6 Sol
WeirdML72.1%88.8%GPT-5.6 Sol
MirrorCode8.9%20.0%GPT-5.6 Sol
ALE-Bench1160.62176.9GPT-5.6 Sol
LMArena Text: coding14841496GPT-5.6 Sol
LMArena Text: software and IT14871489GPT-5.6 Sol
LMArena WebDev: React14381620GPT-5.6 Sol
LMArena WebDev: HTML14901618GPT-5.6 Sol
LMArena WebDev: from an image14811609GPT-5.6 Sol
SciCode14.3%10.8%Gemini 3.1 Pro Preview
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
AA Intelligence Index29.747.0GPT-5.6 Sol
Epoch Capabilities IndexNot measured162.8Only GPT-5.6 Sol measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index120
Agentic work benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
AA Agentic Index8.250.2GPT-5.6 Sol
Design Arena: agents building web apps11251245GPT-5.6 Sol
Design Arena: agents building full-stack apps10681261GPT-5.6 Sol
Design Arena: agents building mobile apps10941248GPT-5.6 Sol
Design Arena: agents building Android apps10491240GPT-5.6 Sol
Design Arena: agents building Godot games12361260GPT-5.6 Sol
Design Arena: agents building games11131266GPT-5.6 Sol
Design Arena: HTML slides11031236GPT-5.6 Sol
Design Arena: PowerPoint slides10411215GPT-5.6 Sol
LiveBench researchNot measured54.5%Only GPT-5.6 Sol measured
LiveBench browserNot measured88.0%Only GPT-5.6 Sol measured
LiveBench long agenticNot measured48.5%Only GPT-5.6 Sol measured
SREBench (Vals AI)0.0%30.5%GPT-5.6 Sol
Finance Agent (Vals AI)43.0%53.8%GPT-5.6 Sol
Tax Agent Bench (Vals AI)9.3%31.1%GPT-5.6 Sol
Legal Research Bench (Vals AI)20.7%48.1%GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)52.6%72.3%GPT-5.6 Sol
BioMysteryBench (Vals AI)60.0%71.1%GPT-5.6 Sol
Terminal-Bench-Science (Vals AI)1.4%20.0%GPT-5.6 Sol
Vals Science Index27.4%41.5%GPT-5.6 Sol
Time Horizon Index (Vals AI)Not measured23.8%Only GPT-5.6 Sol measured
CUA-bench (Vals AI)Not measured8.3%Only GPT-5.6 Sol measured
τ²-Bench Telecom95.6%85.1%Gemini 3.1 Pro Preview
APEX-Agents35.1%Not measuredOnly Gemini 3.1 Pro Preview measured
METR time horizons77.0%Not measuredOnly Gemini 3.1 Pro Preview measured
OSWorld 2.0Not measured27.3%Only GPT-5.6 Sol measured
BALROG57.0%60.0%GPT-5.6 Sol
DeepResearch Bench47.8%Not measuredOnly Gemini 3.1 Pro Preview measured
PostTrainBench22.0%36.2%GPT-5.6 Sol
Vending-Bench 2$911$9,619GPT-5.6 Sol
LMArena SearchNot measured1261Only GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index88
Reasoning benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
GPQA Diamond95.5%95.2%Gemini 3.1 Pro Preview
LiveBench reasoningNot measured91.7%Only GPT-5.6 Sol measured
MysteryMechanism (Vals AI)20.7%33.3%GPT-5.6 Sol
MMMU Pro (Vals AI)88.2%88.8%GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)94.1%94.1%Tie
Humanity's Last Exam (Artificial Analysis run)47.0%49.5%GPT-5.6 Sol
GPQA Diamond (Epoch AI run)94.4%93.5%Gemini 3.1 Pro Preview
ARC-AGI98.0%97.5%Gemini 3.1 Pro Preview
ARC-AGI-277.1%92.5%GPT-5.6 Sol
SimpleBench79.6%64.8%Gemini 3.1 Pro Preview
Chess puzzles51.0%59.0%GPT-5.6 Sol
Mystery game puzzles34.0%58.0%GPT-5.6 Sol
EBR-bench14.3%44.8%GPT-5.6 Sol
LMArena Text: hard prompts14851483Gemini 3.1 Pro Preview
LMArena Text: expert14831517GPT-5.6 Sol
LMArena Text: hard prompts in English14801477Gemini 3.1 Pro Preview
LMArena Vision: diagrams13111305Gemini 3.1 Pro Preview
LMArena Vision: homework13161305Gemini 3.1 Pro Preview
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 index15
Math benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
AIME98.1%Not measuredOnly Gemini 3.1 Pro Preview measured
OTIS Mock AIME95.6%100.0%GPT-5.6 Sol
FrontierMath, tiers 1 to 359.6%89.1%GPT-5.6 Sol
FrontierMath, tier 426.8%82.9%GPT-5.6 Sol
ProofBench26.0%83.0%GPT-5.6 Sol
LMArena Text: math14861473Gemini 3.1 Pro Preview
LMArena Text: mathematical work14781496GPT-5.6 Sol
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index111
Knowledge benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
MMLU Pro91.0%89.1%Gemini 3.1 Pro Preview
LegalBench (Vals AI)87.4%87.0%Gemini 3.1 Pro Preview
CaseLaw (Vals AI)64.8%Not measuredOnly Gemini 3.1 Pro Preview measured
CorpFin (Vals AI)64.5%64.4%Gemini 3.1 Pro Preview
TaxEval (Vals AI)72.9%74.8%GPT-5.6 Sol
MortgageTax (Vals AI)69.4%67.3%Gemini 3.1 Pro Preview
MedQA (Vals AI)96.4%Not measuredOnly Gemini 3.1 Pro Preview measured
MedCode (Vals AI)59.1%44.0%Gemini 3.1 Pro Preview
SimpleQA Verified73.5%69.7%Gemini 3.1 Pro Preview
LMArena Text: science14971455Gemini 3.1 Pro Preview
LMArena Text: medicine and healthcare14861431Gemini 3.1 Pro Preview
LMArena Text: legal and government14871476Gemini 3.1 Pro Preview
LMArena Text: business and finance14591457Gemini 3.1 Pro Preview
FACTS Benchmark Suite67.4%52.4%Gemini 3.1 Pro Preview
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
Design Arena: websites12331321GPT-5.6 Sol
Design Arena: UI components12241335GPT-5.6 Sol
Design Arena: game dev12021367GPT-5.6 Sol
Design Arena: data viz12091322GPT-5.6 Sol
Design Arena: 3D12341384GPT-5.6 Sol
Design Arena: all code categories12311341GPT-5.6 Sol
Design Arena: SVG12851314GPT-5.6 Sol
Design Arena: ASCII art12701304GPT-5.6 Sol
LiveBench designNot measured81.6%Only GPT-5.6 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index249
General benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-5.6 SolLeader
LiveBench data analysisNot measured79.8%Only GPT-5.6 Sol measured
Public Benefits Bench (Vals AI)53.8%66.5%GPT-5.6 Sol
SAGE (Vals AI)48.7%52.6%GPT-5.6 Sol
MedScribe (Vals AI)76.1%85.2%GPT-5.6 Sol
Vals Multimodal Index56.1%72.6%GPT-5.6 Sol
IFBench77.1%72.7%Gemini 3.1 Pro Preview
Long context reasoning (AA-LCR)82.0%84.0%GPT-5.6 Sol
DTBench97.1%95.7%Gemini 3.1 Pro Preview
LMCA53.8%58.5%GPT-5.6 Sol
CL-bench20.8%Not measuredOnly Gemini 3.1 Pro Preview measured
Surface Evolver BenchNot measured93.1%Only GPT-5.6 Sol measured
Furniture assembly26.7%56.7%GPT-5.6 Sol
ExploitBench26.1%Not measuredOnly Gemini 3.1 Pro Preview measured
CL-bench Life16.9%Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text14801457Gemini 3.1 Pro Preview
LMArena Text: instruction following14661483GPT-5.6 Sol
LMArena Text: creative writing14821449Gemini 3.1 Pro Preview
LMArena Vision12961281Gemini 3.1 Pro Preview
LMArena Text: English14781457Gemini 3.1 Pro Preview
LMArena Text: non-English14761451Gemini 3.1 Pro Preview
LMArena Text: Chinese15271525Gemini 3.1 Pro Preview
LMArena Text: German14901476Gemini 3.1 Pro Preview
LMArena Text: Japanese14911472Gemini 3.1 Pro Preview
LMArena Text: Korean14551442Gemini 3.1 Pro Preview
LMArena Text: French14871472Gemini 3.1 Pro Preview
LMArena Text: Spanish14811443Gemini 3.1 Pro Preview
LMArena Text: Russian14971471Gemini 3.1 Pro Preview
LMArena Text: Polish14981459Gemini 3.1 Pro Preview
LMArena Text: multi-turn14871461Gemini 3.1 Pro Preview
LMArena Text: longer queries14821481Gemini 3.1 Pro Preview
LMArena Text: writing and language14811462Gemini 3.1 Pro Preview
LMArena Text: entertainment and media14651450Gemini 3.1 Pro Preview
LMArena Vision: English12871280Gemini 3.1 Pro Preview
LMArena Vision: Chinese13641313Gemini 3.1 Pro Preview
LMArena Vision: reading text13041290Gemini 3.1 Pro Preview
LMArena Vision: humor13221246Gemini 3.1 Pro Preview
LMArena Vision: captioning1345Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing things1330Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: creative writing13241283Gemini 3.1 Pro Preview
LMArena Document14441483GPT-5.6 Sol
Neither model has a result on the other 6 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Pro Preview and GPT-5.6 Sol
BenchmarkGemini 3.1 Pro PreviewGPT-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 3.1 Pro Preview$0.0080Fits in one request
GPT-5.6 Sol$0.014Fits in one request

Gemini 3.1 Pro Preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview$0.136Fits in one request
GPT-5.6 Sol$0.260Fits in one request

Gemini 3.1 Pro Preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview$0.520Fits in one request
GPT-5.6 Sol$1.00Fits in one request

Gemini 3.1 Pro Preview 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 3.1 Pro Preview and GPT-5.6 Sol
SpecificationGoogle Gemini 3.1 Pro PreviewOpenAI GPT-5.6 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 19, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$4.00
Output $/Mtok$12.00$20.00
Coding index32.373.5
Independent measurements behind it46
Cost per solved task$0.99$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Pro Preview better than GPT-5.6 Sol for coding?

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview for output tokens 1.7x cheaper ($12.00 vs $20.00 per million) and a lower cost per solved task ($0.99 against $1.20).

Which is cheaper, Gemini 3.1 Pro Preview or GPT-5.6 Sol?

Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and GPT-5.6 Sol $1.20.

Which has the bigger context window, Gemini 3.1 Pro Preview or GPT-5.6 Sol?

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

How many benchmarks is the Gemini 3.1 Pro Preview vs GPT-5.6 Sol comparison based on?

121 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 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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