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Gemini 3.5 Flash vs GPT-5.4 Nano

GPT-5.4 Nano leads Gemini 3.5 Flash on coding, 44.8 to 39.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 7.2x less per output token ($1.25 vs $9.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace GPT-5.4 Nano
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
75
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
3
vs boards won of 79 shared, 1 tied

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash, though on 2 benchmarks against 4.

Pick Gemini 3.5 Flash for a larger context window (1.05M against 400K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
79
Gemini 3.5 Flash only
33
GPT-5.4 Nano only
6
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 39.8 from 4 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Reasoning, 20.4 points apart on average over 14 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.5 Flash 72.1% against GPT-5.4 Nano 5.7%, 66.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against GPT-5.4 Nano $1.25 per million output tokens, 7.2x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, GPT-5.4 Nano 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 3.5 FlashBarsGPT-5.4 NanoTies
Coding101
Intelligence20
Agentic work50
Reasoning1301 tie
Math60
Knowledge110
General282
All shared boards7531 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash measured
AA Coding IndexNot measured56.1Only GPT-5.4 Nano measured
LiveCodeBench (Vals AI)87.6%84.0%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%69.8%Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%26.1%Gemini 3.5 Flash
Code migration (Vals AI)26.8%14.5%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%41.6%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%47.2%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%42.4%Gemini 3.5 Flash
WeirdML62.6%49.2%Gemini 3.5 Flash
ALE-Bench911.01004.5GPT-5.4 Nano
LMArena Text: coding14931404Gemini 3.5 Flash
LMArena Text: software and IT14941402Gemini 3.5 Flash
LMArena WebDev: React1495Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: HTML1522Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
AA Intelligence Index33.620.7Gemini 3.5 Flash
Epoch Capabilities Index154.9146.0Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
AA Agentic IndexNot measured16.0Only GPT-5.4 Nano measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%38.2%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%5.0%Gemini 3.5 Flash
Legal Research Bench (Vals AI)30.8%6.3%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)63.5%44.8%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%76.0%Gemini 3.5 Flash
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
GPQA Diamond92.7%77.5%Gemini 3.5 Flash
MMMU Pro (Vals AI)88.3%73.6%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)92.2%81.7%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%28.3%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%78.5%Gemini 3.5 Flash
ARC-AGI92.5%51.5%Gemini 3.5 Flash
ARC-AGI-272.1%5.7%Gemini 3.5 Flash
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%45.0%Tie
Mystery game puzzles32.0%9.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881381Gemini 3.5 Flash
LMArena Text: expert14951396Gemini 3.5 Flash
LMArena Text: hard prompts in English14831387Gemini 3.5 Flash
LMArena Vision: diagrams13231210Gemini 3.5 Flash
LMArena Vision: homework13301225Gemini 3.5 Flash
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIME95.6%87.8%Gemini 3.5 Flash
FrontierMath, tiers 1 to 362.8%44.9%Gemini 3.5 Flash
FrontierMath, tier 426.8%12.2%Gemini 3.5 Flash
ProofBench31.0%5.0%Gemini 3.5 Flash
LMArena Text: math15041405Gemini 3.5 Flash
LMArena Text: mathematical work14951409Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
MMLU Pro89.5%77.2%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%77.9%Gemini 3.5 Flash
CaseLaw (Vals AI)Not measured51.9%Only GPT-5.4 Nano measured
CorpFin (Vals AI)64.7%61.2%Gemini 3.5 Flash
TaxEval (Vals AI)74.4%67.4%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%59.1%Gemini 3.5 Flash
MedCode (Vals AI)55.8%41.0%Gemini 3.5 Flash
SimpleQA Verified66.2%11.7%Gemini 3.5 Flash
LMArena Text: science14951374Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831369Gemini 3.5 Flash
LMArena Text: legal and government14881368Gemini 3.5 Flash
LMArena Text: business and finance14671366Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 5 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 and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
Design Arena: websites1267Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1269Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1243Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1253Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1254Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index282
General benchmarks for Gemini 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%38.1%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%77.1%GPT-5.4 Nano
Vals Multimodal Index62.9%47.6%Gemini 3.5 Flash
IFBench76.3%75.9%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%76.7%GPT-5.4 Nano
DTBench94.7%80.3%Gemini 3.5 Flash
LMCA47.1%36.9%Gemini 3.5 Flash
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821372Gemini 3.5 Flash
LMArena Text: instruction following14671362Gemini 3.5 Flash
LMArena Text: creative writing14701315Gemini 3.5 Flash
LMArena Vision13081196Gemini 3.5 Flash
LMArena Text: English14811381Gemini 3.5 Flash
LMArena Text: non-English14751359Gemini 3.5 Flash
LMArena Text: Chinese15271391Gemini 3.5 Flash
LMArena Text: German14941368Gemini 3.5 Flash
LMArena Text: Japanese14861343Gemini 3.5 Flash
LMArena Text: Korean14481321Gemini 3.5 Flash
LMArena Text: French14901395Gemini 3.5 Flash
LMArena Text: Spanish14801371Gemini 3.5 Flash
LMArena Text: Russian14931363Gemini 3.5 Flash
LMArena Text: Polish15161366Gemini 3.5 Flash
LMArena Text: multi-turn14811382Gemini 3.5 Flash
LMArena Text: longer queries14831365Gemini 3.5 Flash
LMArena Text: writing and language14781338Gemini 3.5 Flash
LMArena Text: entertainment and media14591325Gemini 3.5 Flash
LMArena Vision: English13051202Gemini 3.5 Flash
LMArena Vision: Chinese13771232Gemini 3.5 Flash
LMArena Vision: reading text13171204Gemini 3.5 Flash
LMArena Vision: humor13211161Gemini 3.5 Flash
LMArena Vision: recognizing thingsNot measured1141Only GPT-5.4 Nano measured
LMArena Vision: creative writing13011159Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
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 3.5 Flash and GPT-5.4 Nano
BenchmarkGemini 3.5 FlashGPT-5.4 NanoLeader
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$0.0060Fits in one request
GPT-5.4 Nano$0.0008Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
GPT-5.4 Nano$0.014Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
GPT-5.4 Nano$0.052Fits in one request

GPT-5.4 Nano 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 and GPT-5.4 Nano
SpecificationGoogle Gemini 3.5 FlashOpenAI GPT-5.4 Nano
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026March 17, 2026
Context window1.05M400K
Input $/Mtok$1.50$0.20
Output $/Mtok$9.00$1.25
Coding index39.844.8
Independent measurements behind it42
Cost per solved task$1.21$0.14
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash, though on 2 benchmarks against 4. Pick Gemini 3.5 Flash for a larger context window (1.05M against 400K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

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

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and GPT-5.4 Nano $0.14.

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

Gemini 3.5 Flash, with 1.05M tokens against 400K.

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

79 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 independent benchmarks and GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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