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Gemini 3.1 Flash Lite Preview vs GPT-5.2

GPT-5.2 leads Gemini 3.1 Flash Lite Preview on coding, 55.9 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 9.3x less per output token ($1.50 vs $14.00 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Replace Gemini 3.1 Flash Lite Preview Replace GPT-5.2
Gemini 3.1 Flash Lite PreviewGoogle
Coding
22.7
Overall
36.6
Output $/M
$1.50
20
GPT-5.2OpenAI
Coding
55.9
Overall
60.7
Output $/M
$14.00
46
vs boards won of 66 shared

Gemini 3.1 Flash Lite Preview or GPT-5.2: which to pick

Pick GPT-5.2 for coding: it scores 55.9 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 9.3x cheaper ($1.50 vs $14.00 per million) and a lower cost per solved task ($0.18 against $1.91).

Model AGemini 3.1 Flash Lite PreviewGoogle22.7/1003 independent benchmarks$0.18 per solved taskModel BGPT-5.2OpenAI55.9/1003 independent benchmarks$1.91 per solved task
Shared results
66
Gemini 3.1 Flash Lite Preview only
13
GPT-5.2 only
48
Like-for-like categories
7 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-5.2 55.9 from 3 benchmarks.
Widest category
Coding, 18.3 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GPT-5.2 53.5%, 53.5 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Flash Lite Preview $1.50 against GPT-5.2 $14.00 per million output tokens, 9.3x apart.
Context window
Gemini 3.1 Flash Lite Preview takes 1.05M tokens, GPT-5.2 400K.

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-5.2Ties
Coding08
Intelligence01
Reasoning07
Math03
Knowledge66
Web design17
General1314
All shared boards2046
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
SWE-bench VerifiedNot measured72.8%Only GPT-5.2 measured
SWE-bench MultilingualNot measured66.7%Only GPT-5.2 measured
LMArena WebDev12571417GPT-5.2
AA Coding Index34.7Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LiveCodeBench (Vals AI)80.1%85.4%GPT-5.2
SWE-bench Verified (Vals AI)62.8%75.8%GPT-5.2
Vibe Code Bench (Vals AI)0.0%53.5%GPT-5.2
Code migration (Vals AI)4.6%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Terminal-Bench 2.1 (Vals AI)34.1%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GPT-5.2 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only GPT-5.2 measured
Terminal-BenchNot measured64.9%Only GPT-5.2 measured
GSO-BenchNot measured27.5%Only GPT-5.2 measured
WeirdMLNot measured72.2%Only GPT-5.2 measured
ALE-Bench797.71293.5GPT-5.2
LMArena Text: coding14001442GPT-5.2
LMArena Text: software and IT14131434GPT-5.2
LMArena WebDev: React1245Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena WebDev: HTML12761427GPT-5.2
LMArena WebDev: from an image1336Not measuredOnly Gemini 3.1 Flash Lite Preview measured
SciCode4.6%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 17 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-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
AA Intelligence Index15.630.4GPT-5.2
Epoch Capabilities IndexNot measured153.7Only GPT-5.2 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
AA Agentic Index1.6Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Design Arena: agents building web appsNot measured1086Only GPT-5.2 measured
Design Arena: agents building full-stack appsNot measured1043Only GPT-5.2 measured
Design Arena: agents building mobile appsNot measured1093Only GPT-5.2 measured
Design Arena: agents building Android appsNot measured1059Only GPT-5.2 measured
Design Arena: agents building Godot gamesNot measured1142Only GPT-5.2 measured
Finance Agent (Vals AI)30.0%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Tax Agent Bench (Vals AI)3.1%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Legal Research Bench (Vals AI)3.4%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Excel Modeling Benchmark (Vals AI)8.6%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
τ²-Bench TelecomNot measured84.8%Only GPT-5.2 measured
METR time horizonsNot measured75.3%Only GPT-5.2 measured
Remote Labor IndexNot measured2.5%Only GPT-5.2 measured
GDPvalNot measured49.7%Only GPT-5.2 measured
DeepResearch BenchNot measured41.1%Only GPT-5.2 measured
Vending-Bench 2Not measured$3,591Only GPT-5.2 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured55.9%Only GPT-5.2 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
GPQA Diamond81.1%91.7%GPT-5.2
MMMU Pro (Vals AI)82.5%86.7%GPT-5.2
GPQA Diamond (Artificial Analysis run)Not measured90.3%Only GPT-5.2 measured
Humanity's Last Exam (Artificial Analysis run)Not measured37.7%Only GPT-5.2 measured
GPQA Diamond (Epoch AI run)Not measured91.4%Only GPT-5.2 measured
ARC-AGINot measured86.2%Only GPT-5.2 measured
ARC-AGI-2Not measured52.9%Only GPT-5.2 measured
SimpleBenchNot measured45.8%Only GPT-5.2 measured
Chess puzzlesNot measured48.0%Only GPT-5.2 measured
Mystery game puzzlesNot measured23.0%Only GPT-5.2 measured
EBR-benchNot measured23.0%Only GPT-5.2 measured
VPCTNot measured84.0%Only GPT-5.2 measured
LMArena Text: hard prompts14071428GPT-5.2
LMArena Text: expert13981445GPT-5.2
LMArena Text: hard prompts in English14031431GPT-5.2
LMArena Vision: diagrams12421265GPT-5.2
LMArena Vision: homework12711276GPT-5.2
Kagi LLM BenchmarkNot measured73.3%Only GPT-5.2 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
AIME83.3%96.9%GPT-5.2
MGSM (Vals AI)Not measured94.0%Only GPT-5.2 measured
AA Math IndexNot measured99.0Only GPT-5.2 measured
AIME 2025 (Artificial Analysis run)Not measured99.0%Only GPT-5.2 measured
OTIS Mock AIMENot measured96.1%Only GPT-5.2 measured
FrontierMath, tiers 1 to 3Not measured67.4%Only GPT-5.2 measured
FrontierMath, tier 4Not measured31.7%Only GPT-5.2 measured
ProofBenchNot measured15.0%Only GPT-5.2 measured
LMArena Text: math14281440GPT-5.2
LMArena Text: mathematical work14171442GPT-5.2
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index66
Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
MMLU Pro86.2%86.2%Gemini 3.1 Flash Lite Preview
LegalBench (Vals AI)83.8%82.8%Gemini 3.1 Flash Lite Preview
CaseLaw (Vals AI)55.0%66.0%GPT-5.2
CorpFin (Vals AI)59.4%65.9%GPT-5.2
TaxEval (Vals AI)71.8%75.8%GPT-5.2
MortgageTax (Vals AI)68.0%67.1%Gemini 3.1 Flash Lite Preview
MedQA (Vals AI)Not measured94.1%Only GPT-5.2 measured
MedCode (Vals AI)47.6%49.8%GPT-5.2
MMLU Pro (Artificial Analysis run)Not measured87.4%Only GPT-5.2 measured
SimpleQA VerifiedNot measured37.1%Only GPT-5.2 measured
LMArena Text: science14251425Gemini 3.1 Flash Lite Preview
LMArena Text: medicine and healthcare14281425Gemini 3.1 Flash Lite Preview
LMArena Text: legal and government14181427GPT-5.2
LMArena Text: business and finance13891414GPT-5.2
FACTS Benchmark Suite51.4%48.5%Gemini 3.1 Flash Lite Preview
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
Design Arena: websites10821195GPT-5.2
Design Arena: UI components10691190GPT-5.2
Design Arena: game dev10291195GPT-5.2
Design Arena: data viz10451202GPT-5.2
Design Arena: 3D10471079GPT-5.2
Design Arena: all code categories10721170GPT-5.2
Design Arena: SVG10521139GPT-5.2
Design Arena: ASCII art11671152Gemini 3.1 Flash Lite Preview
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1314
General benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
SAGE (Vals AI)49.5%49.3%Gemini 3.1 Flash Lite Preview
MedScribe (Vals AI)63.9%84.4%GPT-5.2
Vals Multimodal Index41.4%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
IFBenchNot measured75.4%Only GPT-5.2 measured
Long context reasoning (AA-LCR)Not measured82.7%Only GPT-5.2 measured
DTBenchNot measured90.9%Only GPT-5.2 measured
LMCANot measured43.9%Only GPT-5.2 measured
CL-benchNot measured18.2%Only GPT-5.2 measured
Furniture assemblyNot measured38.3%Only GPT-5.2 measured
LMArena Text14161416GPT-5.2
LMArena Text: instruction following13771409GPT-5.2
LMArena Text: creative writing14011376Gemini 3.1 Flash Lite Preview
LMArena Vision12401246GPT-5.2
LMArena Text: English14141422GPT-5.2
LMArena Text: non-English14101405Gemini 3.1 Flash Lite Preview
LMArena Text: Chinese14601447Gemini 3.1 Flash Lite Preview
LMArena Text: German14301444GPT-5.2
LMArena Text: Japanese14131420GPT-5.2
LMArena Text: Korean13921374Gemini 3.1 Flash Lite Preview
LMArena Text: French14241454GPT-5.2
LMArena Text: Spanish14211413Gemini 3.1 Flash Lite Preview
LMArena Text: Russian14201415Gemini 3.1 Flash Lite Preview
LMArena Text: Polish14431426Gemini 3.1 Flash Lite Preview
LMArena Text: multi-turn14171419GPT-5.2
LMArena Text: longer queries13941413GPT-5.2
LMArena Text: writing and language14081392Gemini 3.1 Flash Lite Preview
LMArena Text: entertainment and media13861378Gemini 3.1 Flash Lite Preview
LMArena Vision: English12321243GPT-5.2
LMArena Vision: Chinese12781305GPT-5.2
LMArena Vision: reading text12461257GPT-5.2
LMArena Vision: humor12661227Gemini 3.1 Flash Lite Preview
LMArena Vision: captioning12591267GPT-5.2
LMArena Vision: recognizing things13081232Gemini 3.1 Flash Lite Preview
LMArena Vision: creative writing12481225Gemini 3.1 Flash Lite Preview
LMArena DocumentNot measured1405Only GPT-5.2 measured
Neither model has a result on the other 11 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-5.2
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.2Leader
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-5.2$0.0088Fits 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-5.2$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-5.2$0.490Fits 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-5.2
SpecificationGoogle Gemini 3.1 Flash Lite PreviewOpenAI GPT-5.2
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 3, 2026December 10, 2025
Context window1.05M400K
Input $/Mtok$0.25$1.75
Output $/Mtok$1.50$14.00
Coding index22.755.9
Independent measurements behind it33
Cost per solved task$0.18$1.91
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview better than GPT-5.2 for coding?

Pick GPT-5.2 for coding: it scores 55.9 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 9.3x cheaper ($1.50 vs $14.00 per million) and a lower cost per solved task ($0.18 against $1.91).

Which is cheaper, Gemini 3.1 Flash Lite Preview or GPT-5.2?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-5.2 costs $1.75 and $14.00. Per solved SWE-bench Verified task, Gemini 3.1 Flash Lite Preview costs $0.18 and GPT-5.2 $1.91.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GPT-5.2?

Gemini 3.1 Flash Lite Preview, with 1.05M tokens against 400K.

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GPT-5.2 comparison based on?

66 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-5.2's on 3. Where only one model has a result, the page says so instead of naming a winner.

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