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Gemini 3.5 Flash Lite vs GPT-5.4

GPT-5.4 leads Gemini 3.5 Flash Lite on coding, 64.4 to 49.0 on the Vibe Coding Index, and Gemini 3.5 Flash Lite costs 6.0x less per output token ($2.50 vs $15.00 per million). Updated October 22, 2026; 74 benchmarks have a result for both.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
5
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
69
vs boards won of 74 shared

Gemini 3.5 Flash Lite or GPT-5.4: which to pick

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite for output tokens 6.0x cheaper ($2.50 vs $15.00 per million) and a lower cost per solved task ($0.41 against $1.02).

Shared results
74
Gemini 3.5 Flash Lite only
11
GPT-5.4 only
36
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 3.5 Flash Lite 49.0 from 3 benchmarks, GPT-5.4 64.4 from 3 benchmarks.
Widest category
Math, 31.8 points apart on average over 6 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.5 Flash Lite 10.3% against GPT-5.4 74.0%, 63.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against GPT-5.4 $15.00 per million output tokens, 6.0x apart.
Context window
Gemini 3.5 Flash Lite takes 1.05M tokens, GPT-5.4 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 3.5 Flash LiteBarsGPT-5.4Ties
Coding112
Intelligence02
Agentic work01
Reasoning014
Math06
Knowledge28
General226
All shared boards569
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
Coding benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
LMArena WebDev14351464GPT-5.4
AA Coding Index49.371.1GPT-5.4
LiveCodeBench (Vals AI)79.0%84.1%GPT-5.4
SWE-bench Verified (Vals AI)75.0%78.2%GPT-5.4
Vibe Code Bench (Vals AI)37.2%67.4%GPT-5.4
Code migration (Vals AI)6.2%35.0%GPT-5.4
ProgramBench (Vals AI)0.0%0.5%GPT-5.4
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Gemini 3.5 Flash Lite measured
SkillsBench (Vals AI)Not measured51.7%Only GPT-5.4 measured
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode41.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)Not measured57.6%Only GPT-5.4 measured
Terminal-BenchNot measured81.8%Only GPT-5.4 measured
GSO-BenchNot measured31.4%Only GPT-5.4 measured
WeirdML39.0%77.7%GPT-5.4
MirrorCodeNot measured15.6%Only GPT-5.4 measured
ALE-Bench765.31607.0GPT-5.4
LMArena Text: coding14531496GPT-5.4
LMArena Text: software and IT14511491GPT-5.4
LMArena WebDev: React14081454GPT-5.4
LMArena WebDev: HTMLNot measured1478Only GPT-5.4 measured
LMArena WebDev: from an image14481436Gemini 3.5 Flash Lite
SciCode6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
AA Intelligence Index22.239.0GPT-5.4
Epoch Capabilities Index144.9157.3GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
AA Agentic Index14.3Not measuredOnly Gemini 3.5 Flash Lite measured
Design Arena: agents building web appsNot measured1059Only GPT-5.4 measured
Design Arena: agents building full-stack appsNot measured1017Only GPT-5.4 measured
Design Arena: agents building mobile appsNot measured1087Only GPT-5.4 measured
Design Arena: agents building Android appsNot measured1031Only GPT-5.4 measured
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 measured
Finance Agent (Vals AI)47.4%Not measuredOnly Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)7.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)43.2%Not measuredOnly Gemini 3.5 Flash Lite measured
τ²-Bench TelecomNot measured87.1%Only GPT-5.4 measured
APEX-Agents29.3%52.4%GPT-5.4
METR time horizonsNot measured74.3%Only GPT-5.4 measured
DeepResearch BenchNot measured35.1%Only GPT-5.4 measured
PostTrainBenchNot measured19.0%Only GPT-5.4 measured
Vending-Bench 2Not measured$6,144Only GPT-5.4 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index014
Reasoning benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
GPQA Diamond83.8%91.7%GPT-5.4
MMMU Pro (Vals AI)83.6%87.5%GPT-5.4
GPQA Diamond (Artificial Analysis run)83.8%92.0%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)18.8%43.7%GPT-5.4
GPQA Diamond (Epoch AI run)83.3%93.3%GPT-5.4
ARC-AGI53.5%93.7%GPT-5.4
ARC-AGI-210.3%74.0%GPT-5.4
Chess puzzles21.0%48.0%GPT-5.4
Mystery game puzzles19.0%37.0%GPT-5.4
EBR-benchNot measured25.4%Only GPT-5.4 measured
LMArena Text: hard prompts14411485GPT-5.4
LMArena Text: expert14341507GPT-5.4
LMArena Text: hard prompts in English14401479GPT-5.4
LMArena Vision: diagrams12841327GPT-5.4
LMArena Vision: homework12911336GPT-5.4
Kagi LLM BenchmarkNot measured63.8%Only GPT-5.4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
AIMENot measured96.7%Only GPT-5.4 measured
OTIS Mock AIME71.1%97.8%GPT-5.4
FrontierMath, tiers 1 to 326.0%78.6%GPT-5.4
FrontierMath, tier 40.0%49.0%GPT-5.4
ProofBench13.0%56.0%GPT-5.4
LMArena Text: math14341488GPT-5.4
LMArena Text: mathematical work14331497GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
Knowledge benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
MMLU Pro85.8%87.5%GPT-5.4
LegalBench (Vals AI)84.1%86.0%GPT-5.4
CaseLaw (Vals AI)Not measured63.8%Only GPT-5.4 measured
CorpFin (Vals AI)60.7%65.3%GPT-5.4
TaxEval (Vals AI)72.6%74.0%GPT-5.4
MortgageTax (Vals AI)68.7%68.3%Gemini 3.5 Flash Lite
MedQA (Vals AI)Not measured96.1%Only GPT-5.4 measured
MedCode (Vals AI)43.5%41.3%Gemini 3.5 Flash Lite
SimpleQA VerifiedNot measured45.1%Only GPT-5.4 measured
LMArena Text: science14511479GPT-5.4
LMArena Text: medicine and healthcare14381458GPT-5.4
LMArena Text: legal and government14311486GPT-5.4
LMArena Text: business and finance14231474GPT-5.4
FACTS Benchmark Suite53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
Design Arena: websitesNot measured1198Only GPT-5.4 measured
Design Arena: UI componentsNot measured1212Only GPT-5.4 measured
Design Arena: game devNot measured1194Only GPT-5.4 measured
Design Arena: data vizNot measured1196Only GPT-5.4 measured
Design Arena: 3DNot measured1065Only GPT-5.4 measured
Design Arena: all code categoriesNot measured1179Only GPT-5.4 measured
Design Arena: SVGNot measured1141Only GPT-5.4 measured
Design Arena: ASCII artNot measured1188Only GPT-5.4 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index226
General benchmarks for Gemini 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%43.3%Gemini 3.5 Flash Lite
MedScribe (Vals AI)70.9%77.5%GPT-5.4
IFBenchNot measured73.9%Only GPT-5.4 measured
Long context reasoning (AA-LCR)76.0%82.0%GPT-5.4
DTBench83.5%94.4%GPT-5.4
LMCA37.6%52.0%GPT-5.4
CL-benchNot measured27.9%Only GPT-5.4 measured
Furniture assemblyNot measured37.5%Only GPT-5.4 measured
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text14351469GPT-5.4
LMArena Text: instruction following14191469GPT-5.4
LMArena Text: creative writing14211439GPT-5.4
LMArena Vision12691303GPT-5.4
LMArena Text: English14381467GPT-5.4
LMArena Text: non-English14271465GPT-5.4
LMArena Text: Chinese14681520GPT-5.4
LMArena Text: German14541472GPT-5.4
LMArena Text: Japanese14261485GPT-5.4
LMArena Text: Korean14071449GPT-5.4
LMArena Text: French14511493GPT-5.4
LMArena Text: Spanish14411452GPT-5.4
LMArena Text: Russian14431480GPT-5.4
LMArena Text: Polish14371472GPT-5.4
LMArena Text: multi-turn14451482GPT-5.4
LMArena Text: longer queries14351473GPT-5.4
LMArena Text: writing and language14281458GPT-5.4
LMArena Text: entertainment and media14141438GPT-5.4
LMArena Vision: English12691301GPT-5.4
LMArena Vision: Chinese13111354GPT-5.4
LMArena Vision: reading text12801312GPT-5.4
LMArena Vision: humor12871284Gemini 3.5 Flash Lite
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writing12601283GPT-5.4
LMArena DocumentNot measured1471Only GPT-5.4 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 3.5 Flash Lite and GPT-5.4
BenchmarkGemini 3.5 Flash LiteGPT-5.4Leader
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 3.5 Flash Lite$0.0015Fits in one request
GPT-5.4$0.010Fits in one request

Gemini 3.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
GPT-5.4$0.170Fits in one request

Gemini 3.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request
GPT-5.4$0.650Fits in one request

Gemini 3.5 Flash Lite 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 3.5 Flash Lite and GPT-5.4
SpecificationGoogle Gemini 3.5 Flash LiteOpenAI GPT-5.4
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026March 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$2.50
Output $/Mtok$2.50$15.00
Coding index49.064.4
Independent measurements behind it33
Cost per solved task$0.41$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than GPT-5.4 for coding?

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for output tokens 6.0x cheaper ($2.50 vs $15.00 per million) and a lower cost per solved task ($0.41 against $1.02).

Which is cheaper, Gemini 3.5 Flash Lite or GPT-5.4?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GPT-5.4 $1.02.

Which has the bigger context window, Gemini 3.5 Flash Lite or GPT-5.4?

GPT-5.4, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.5 Flash Lite vs GPT-5.4 comparison based on?

74 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and GPT-5.4's on 3. Where only one model has a result, the page says so instead of naming a winner.

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