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Gemini 3.6 Flash vs GPT-5.4

GPT-5.4 leads Gemini 3.6 Flash on coding, 64.4 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 4.0x less per output token ($3.75 vs $15.00 per million). Updated October 21, 2026; 89 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-5.4
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
50
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
39
vs boards won of 89 shared

Gemini 3.6 Flash or GPT-5.4: which to pick

Gemini 3.6 Flash and GPT-5.4 are level for coding, 62.5 against 64.4 on the Vibe Coding Index, so price and context decide.

Pick Gemini 3.6 Flash for output tokens 4.0x cheaper ($3.75 vs $15.00 per million) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick GPT-5.4 for a lower cost per solved task ($1.02 against $1.49) and a larger context window (1.05M against 1.05M tokens).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved task
Shared results
89
Gemini 3.6 Flash only
20
GPT-5.4 only
21
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 3.6 Flash 62.5 from 4 benchmarks, GPT-5.4 64.4 from 3 benchmarks.
Widest category
Agentic work, 15.8 points apart on average over 5 shared benchmarks.
Widest single gap
ALE-Bench: Gemini 3.6 Flash 715.5 against GPT-5.4 1607.0, 29.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-5.4 $15.00 per million output tokens, 4.0x apart.
Context window
Gemini 3.6 Flash 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 3.6 FlashBarsGPT-5.4Ties
Coding77
Intelligence02
Agentic work41
Reasoning68
Math15
Knowledge74
Web design70
General1812
All shared boards5039
CodingLike-for-likeSix of these boards feed the Vibe Coding Index77
Coding benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
LMArena WebDev15381464Gemini 3.6 Flash
AA Coding Index69.271.1GPT-5.4
LiveCodeBench (Vals AI)88.1%84.1%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%78.2%Gemini 3.6 Flash
Vibe Code Bench (Vals AI)64.0%67.4%GPT-5.4
Code migration (Vals AI)30.9%35.0%GPT-5.4
ProgramBench (Vals AI)0.0%0.5%GPT-5.4
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
SkillsBench (Vals AI)Not measured51.7%Only GPT-5.4 measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured57.6%Only GPT-5.4 measured
Terminal-BenchNot measured81.8%Only GPT-5.4 measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
GSO-BenchNot measured31.4%Only GPT-5.4 measured
WeirdML56.1%77.7%GPT-5.4
MirrorCodeNot measured15.6%Only GPT-5.4 measured
ALE-Bench715.51607.0GPT-5.4
LMArena Text: coding14911496GPT-5.4
LMArena Text: software and IT14921491Gemini 3.6 Flash
LMArena WebDev: React15281454Gemini 3.6 Flash
LMArena WebDev: HTML15471478Gemini 3.6 Flash
LMArena WebDev: from an image15451436Gemini 3.6 Flash
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
AA Intelligence Index34.039.0GPT-5.4
Epoch Capabilities Index154.5157.3GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps11971059Gemini 3.6 Flash
Design Arena: agents building full-stack apps11811017Gemini 3.6 Flash
Design Arena: agents building mobile apps11991087Gemini 3.6 Flash
Design Arena: agents building Android apps12031030Gemini 3.6 Flash
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 measured
Design Arena: agents building games1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1148Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1146Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1034Not measuredOnly Gemini 3.6 Flash measured
Finance Agent (Vals AI)56.3%Not measuredOnly Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%Not measuredOnly Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%Not measuredOnly Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
τ²-Bench TelecomNot measured87.1%Only GPT-5.4 measured
APEX-Agents46.9%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 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index68
Reasoning benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
GPQA Diamond93.4%91.7%Gemini 3.6 Flash
MMMU Pro (Vals AI)88.4%87.5%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%92.0%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%43.7%GPT-5.4
GPQA Diamond (Epoch AI run)94.1%93.3%Gemini 3.6 Flash
ARC-AGI91.2%93.7%GPT-5.4
ARC-AGI-260.4%74.0%GPT-5.4
Chess puzzles42.0%48.0%GPT-5.4
Mystery game puzzles30.0%37.0%GPT-5.4
EBR-benchNot measured25.4%Only GPT-5.4 measured
LMArena Text: hard prompts14861485Gemini 3.6 Flash
LMArena Text: expert14901507GPT-5.4
LMArena Text: hard prompts in English14841479Gemini 3.6 Flash
LMArena Vision: diagrams13141327GPT-5.4
LMArena Vision: homework13141336GPT-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 index15
Math benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
AIMENot measured96.7%Only GPT-5.4 measured
OTIS Mock AIME94.2%97.8%GPT-5.4
FrontierMath, tiers 1 to 358.9%78.6%GPT-5.4
FrontierMath, tier 422.0%49.0%GPT-5.4
ProofBench36.0%56.0%GPT-5.4
LMArena Text: math15081488Gemini 3.6 Flash
LMArena Text: mathematical work14921497GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index74
Knowledge benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
MMLU Pro89.3%87.5%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%86.0%Gemini 3.6 Flash
CaseLaw (Vals AI)Not measured63.8%Only GPT-5.4 measured
CorpFin (Vals AI)63.3%65.3%GPT-5.4
TaxEval (Vals AI)74.9%74.0%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%68.3%GPT-5.4
MedQA (Vals AI)Not measured96.1%Only GPT-5.4 measured
MedCode (Vals AI)53.1%41.3%Gemini 3.6 Flash
SimpleQA Verified66.2%45.1%Gemini 3.6 Flash
LMArena Text: science14891479Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691458Gemini 3.6 Flash
LMArena Text: legal and government14791486GPT-5.4
LMArena Text: business and finance14641474GPT-5.4
FACTS Benchmark Suite65.3%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
Design Arena: websites13001199Gemini 3.6 Flash
Design Arena: UI components12971215Gemini 3.6 Flash
Design Arena: game dev12631195Gemini 3.6 Flash
Design Arena: data viz12891196Gemini 3.6 Flash
Design Arena: 3D12721066Gemini 3.6 Flash
Design Arena: all code categories12901180Gemini 3.6 Flash
Design Arena: SVGNot measured1142Only GPT-5.4 measured
Design Arena: ASCII art12811188Gemini 3.6 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1812
General benchmarks for Gemini 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-5.4Leader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%43.3%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%77.5%Gemini 3.6 Flash
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
IFBenchNot measured73.9%Only GPT-5.4 measured
Long context reasoning (AA-LCR)80.0%82.0%GPT-5.4
DTBench95.5%94.4%Gemini 3.6 Flash
LMCA44.9%52.0%GPT-5.4
CL-benchNot measured27.9%Only GPT-5.4 measured
Furniture assembly23.3%37.5%GPT-5.4
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text14801469Gemini 3.6 Flash
LMArena Text: instruction following14671469GPT-5.4
LMArena Text: creative writing14661439Gemini 3.6 Flash
LMArena Vision12991303GPT-5.4
LMArena Text: English14821467Gemini 3.6 Flash
LMArena Text: non-English14701465Gemini 3.6 Flash
LMArena Text: Chinese15311520Gemini 3.6 Flash
LMArena Text: German14801472Gemini 3.6 Flash
LMArena Text: Japanese14751485GPT-5.4
LMArena Text: Korean14291449GPT-5.4
LMArena Text: French15031493Gemini 3.6 Flash
LMArena Text: Spanish14761452Gemini 3.6 Flash
LMArena Text: Russian14881480Gemini 3.6 Flash
LMArena Text: Polish14731472Gemini 3.6 Flash
LMArena Text: multi-turn14811482GPT-5.4
LMArena Text: longer queries14751473Gemini 3.6 Flash
LMArena Text: writing and language14701458Gemini 3.6 Flash
LMArena Text: entertainment and media14561438Gemini 3.6 Flash
LMArena Vision: English12951301GPT-5.4
LMArena Vision: Chinese13571354Gemini 3.6 Flash
LMArena Vision: reading text13121312GPT-5.4
LMArena Vision: humor12891284Gemini 3.6 Flash
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writing12781283GPT-5.4
LMArena Document14561471GPT-5.4
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 3.6 Flash and GPT-5.4
BenchmarkGemini 3.6 FlashGPT-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 3.6 Flash$0.0026Fits in one request
GPT-5.4$0.010Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
GPT-5.4$0.170Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
GPT-5.4$0.650Fits in one request

Gemini 3.6 Flash 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 3.6 Flash and GPT-5.4
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-5.4
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026March 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$2.50
Output $/Mtok$3.75$15.00
Coding index62.564.4
Independent measurements behind it43
Cost per solved task$1.49$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-5.4 for coding?

Gemini 3.6 Flash and GPT-5.4 are level for coding, 62.5 against 64.4 on the Vibe Coding Index, so price and context decide. Pick Gemini 3.6 Flash for output tokens 4.0x cheaper ($3.75 vs $15.00 per million) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick GPT-5.4 for a lower cost per solved task ($1.02 against $1.49) and a larger context window (1.05M against 1.05M tokens).

Which is cheaper, Gemini 3.6 Flash or GPT-5.4?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GPT-5.4 $1.02.

Which has the bigger context window, Gemini 3.6 Flash or GPT-5.4?

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

How many benchmarks is the Gemini 3.6 Flash vs GPT-5.4 comparison based on?

89 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 4 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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