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Gemini 3.1 Flash Lite Preview vs GPT-6.1 Sol

GPT-6.1 Sol leads Gemini 3.1 Flash Lite Preview on coding, 82.4 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 6.7x less per output token ($1.50 vs $10.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Gemini 3.1 Flash Lite PreviewGoogle
Coding
22.7
Overall
36.6
Output $/M
$1.50
1
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
54
vs boards won of 55 shared

Gemini 3.1 Flash Lite Preview or GPT-6.1 Sol: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 22.7 for Gemini 3.1 Flash Lite Preview.

Pick Gemini 3.1 Flash Lite Preview for output tokens 6.7x cheaper ($1.50 vs $10.00 per million) and work measured by SAGE (Vals AI), where it leads.

Shared results
55
Gemini 3.1 Flash Lite Preview only
25
GPT-6.1 Sol only
48
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 Flash Lite Preview 22.7 from 3 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category
Coding, 43.0 points apart on average over 11 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GPT-6.1 Sol 88.9%, 88.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Flash Lite Preview $1.50 against GPT-6.1 Sol $10.00 per million output tokens, 6.7x apart.
Context window
Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite PreviewBarsGPT-6.1 SolTies
Coding011
Intelligence01
Agentic work04
Reasoning05
Math02
Knowledge06
Web design06
General119
All shared boards154
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
LiveBench codingNot measured96.0%Only GPT-6.1 Sol measured
LMArena WebDev12571753GPT-6.1 Sol
AA Coding Index34.7Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LiveCodeBench (Vals AI)80.1%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
SWE-bench Verified (Vals AI)62.8%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Terminal-Bench 4 (Vals AI)Not measured55.0%Only GPT-6.1 Sol measured
Vibe Code Bench (Vals AI)0.0%88.9%GPT-6.1 Sol
Code migration (Vals AI)4.6%65.1%GPT-6.1 Sol
ProgramBench (Vals AI)0.0%3.0%GPT-6.1 Sol
IOI (Vals AI)Not measured96.9%Only GPT-6.1 Sol measured
Terminal-Bench 2.1 (Vals AI)34.1%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
SWE-bench Multimodal (Vals AI)Not measured43.5%Only GPT-6.1 Sol measured
CyberBench (Vals AI)Not measured39.3%Only GPT-6.1 Sol measured
SciCodeNot measured55.8%Only GPT-6.1 Sol measured
FrontierCodeNot measured50.2%Only GPT-6.1 Sol measured
ALE-Bench797.72743.8GPT-6.1 Sol
LMArena Text: coding14001478GPT-6.1 Sol
LMArena Text: software and IT14131476GPT-6.1 Sol
LMArena WebDev: React12451754GPT-6.1 Sol
LMArena WebDev: HTML12761800GPT-6.1 Sol
LMArena WebDev: from an image13361702GPT-6.1 Sol
SciCode4.6%9.2%GPT-6.1 Sol
SWE-Bench Pro V2Not measured96.1%Only GPT-6.1 Sol measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
AA Intelligence Index15.651.8GPT-6.1 Sol
Epoch Capabilities IndexNot measured168.4Only GPT-6.1 Sol measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
AA Agentic Index1.6Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Design Arena: agents building web appsNot measured1307Only GPT-6.1 Sol measured
Design Arena: agents building mobile appsNot measured1224Only GPT-6.1 Sol measured
Design Arena: spreadsheetsNot measured1270Only GPT-6.1 Sol measured
LiveBench researchNot measured83.5%Only GPT-6.1 Sol measured
LiveBench browserNot measured88.0%Only GPT-6.1 Sol measured
LiveBench long agenticNot measured73.0%Only GPT-6.1 Sol measured
SREBench (Vals AI)Not measured50.8%Only GPT-6.1 Sol measured
Finance Agent (Vals AI)30.0%52.0%GPT-6.1 Sol
Tax Agent Bench (Vals AI)3.1%21.8%GPT-6.1 Sol
Legal Research Bench (Vals AI)3.4%38.5%GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)Not measured6.3%Only GPT-6.1 Sol measured
Excel Modeling Benchmark (Vals AI)8.6%70.8%GPT-6.1 Sol
BioMysteryBench (Vals AI)Not measured79.6%Only GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)Not measured52.9%Only GPT-6.1 Sol measured
Vals Science IndexNot measured59.6%Only GPT-6.1 Sol measured
Robo-bench (Vals AI)Not measured28.3%Only GPT-6.1 Sol measured
APEX-AgentsNot measured60.0%Only GPT-6.1 Sol measured
SpireClimbNot measured24.7%Only GPT-6.1 Sol measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
GPQA Diamond81.1%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LiveBench reasoningNot measured92.6%Only GPT-6.1 Sol measured
MysteryMechanism (Vals AI)Not measured46.4%Only GPT-6.1 Sol measured
MMMU Pro (Vals AI)82.5%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Humanity's Last Exam (Artificial Analysis run)Not measured52.9%Only GPT-6.1 Sol measured
GPQA Diamond (Epoch AI run)Not measured95.4%Only GPT-6.1 Sol measured
ARC-AGINot measured98.5%Only GPT-6.1 Sol measured
ARC-AGI-2Not measured94.2%Only GPT-6.1 Sol measured
Chess puzzlesNot measured68.0%Only GPT-6.1 Sol measured
Mystery game puzzlesNot measured80.0%Only GPT-6.1 Sol measured
EBR-benchNot measured54.3%Only GPT-6.1 Sol measured
LMArena Text: hard prompts14071463GPT-6.1 Sol
LMArena Text: expert13981489GPT-6.1 Sol
LMArena Text: hard prompts in English14031465GPT-6.1 Sol
LMArena Vision: diagrams12421306GPT-6.1 Sol
LMArena Vision: homework12711356GPT-6.1 Sol
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
AIME83.3%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIMENot measured100.0%Only GPT-6.1 Sol measured
FrontierMath, tiers 1 to 3Not measured93.7%Only GPT-6.1 Sol measured
FrontierMath, tier 4Not measured100.0%Only GPT-6.1 Sol measured
ProofBenchNot measured99.0%Only GPT-6.1 Sol measured
LMArena Text: math14281489GPT-6.1 Sol
LMArena Text: mathematical work14171513GPT-6.1 Sol
MathArenaNot measured84.0%Only GPT-6.1 Sol measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
MMLU Pro86.2%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LegalBench (Vals AI)83.8%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
CaseLaw (Vals AI)55.0%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
CorpFin (Vals AI)59.4%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
TaxEval (Vals AI)71.8%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
MortgageTax (Vals AI)68.0%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
MedCode (Vals AI)47.6%48.8%GPT-6.1 Sol
SimpleQA VerifiedNot measured73.9%Only GPT-6.1 Sol measured
LMArena Text: science14251444GPT-6.1 Sol
LMArena Text: medicine and healthcare14281433GPT-6.1 Sol
LMArena Text: legal and government14181471GPT-6.1 Sol
LMArena Text: business and finance13891445GPT-6.1 Sol
FACTS Benchmark Suite51.4%75.3%GPT-6.1 Sol
PRBench FinanceNot measured46.2%Only GPT-6.1 Sol measured
PRBench LegalNot measured47.9%Only GPT-6.1 Sol measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
Design Arena: websites10821321GPT-6.1 Sol
Design Arena: UI components10691323GPT-6.1 Sol
Design Arena: game dev10291393GPT-6.1 Sol
Design Arena: data viz10451286GPT-6.1 Sol
Design Arena: 3D10471458GPT-6.1 Sol
Design Arena: all code categories10711346GPT-6.1 Sol
Design Arena: SVG1052Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Design Arena: ASCII art1167Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LiveBench designNot measured82.1%Only GPT-6.1 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index119
General benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-6.1 SolLeader
Vals IndexNot measured63.9%Only GPT-6.1 Sol measured
LiveBench data analysisNot measured82.7%Only GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)Not measured59.3%Only GPT-6.1 Sol measured
SAGE (Vals AI)49.5%46.5%Gemini 3.1 Flash Lite Preview
MedScribe (Vals AI)63.9%86.5%GPT-6.1 Sol
Vals Multimodal Index41.4%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Long context reasoning (AA-LCR)Not measured84.0%Only GPT-6.1 Sol measured
DTBenchNot measured96.5%Only GPT-6.1 Sol measured
LMCANot measured62.8%Only GPT-6.1 Sol measured
Furniture assemblyNot measured80.0%Only GPT-6.1 Sol measured
LMArena Text14161443GPT-6.1 Sol
LMArena Text: instruction following13771466GPT-6.1 Sol
LMArena Text: creative writing14011425GPT-6.1 Sol
LMArena Vision12401288GPT-6.1 Sol
LMArena Text: English14141450GPT-6.1 Sol
LMArena Text: non-English14101433GPT-6.1 Sol
LMArena Text: Chinese14601487GPT-6.1 Sol
LMArena Text: German1430Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Text: Japanese1413Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Text: Korean1392Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Text: French14241460GPT-6.1 Sol
LMArena Text: Spanish14211439GPT-6.1 Sol
LMArena Text: Russian14201457GPT-6.1 Sol
LMArena Text: Polish1443Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Text: multi-turn14171442GPT-6.1 Sol
LMArena Text: longer queries13941458GPT-6.1 Sol
LMArena Text: writing and language14081444GPT-6.1 Sol
LMArena Text: entertainment and media13861426GPT-6.1 Sol
LMArena Vision: English12321274GPT-6.1 Sol
LMArena Vision: Chinese1278Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: reading text12461289GPT-6.1 Sol
LMArena Vision: humor1266Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: captioning1259Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things1308Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: creative writing12481301GPT-6.1 Sol
MultiChallenge60.6%82.0%GPT-6.1 Sol
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
BenchmarkGemini 3.1 Flash Lite PreviewGPT-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 3.1 Flash Lite Preview$0.0010Fits in one request
GPT-6.1 Sol$0.0070Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite Preview$0.017Fits in one request
GPT-6.1 Sol$0.130Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite Preview$0.065Fits in one request
GPT-6.1 Sol$0.500Fits in one request

Gemini 3.1 Flash Lite 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 Flash Lite Preview and GPT-6.1 Sol
SpecificationGoogle Gemini 3.1 Flash Lite PreviewOpenAI GPT-6.1 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 3, 2026September 29, 2026
Context window1.05M1.05M
Input $/Mtok$0.25$2.00
Output $/Mtok$1.50$10.00
Coding index22.782.4
Independent measurements behind it35
Cost per solved task$0.18Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 22.7 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview for output tokens 6.7x cheaper ($1.50 vs $10.00 per million) and work measured by SAGE (Vals AI), where it leads.

Which is cheaper, Gemini 3.1 Flash Lite Preview or GPT-6.1 Sol?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.1 Flash Lite Preview only.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GPT-6.1 Sol?

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

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GPT-6.1 Sol comparison based on?

55 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Flash Lite Preview's coding index rests on 3 independent benchmarks and GPT-6.1 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-3-1-flash-lite-preview-vs-gpt-6-1-sol">LLMBenchmark.ai, Gemini 3.1 Flash Lite Preview vs GPT-6.1 Sol</a></p>