Gemini 3.6 Flash vs GPT-5.4 Nano

Gemini 3.6 Flash leads GPT-5.4 Nano on coding, 62.5 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 3.0x less per output token ($1.25 vs $3.75 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-5.4 Nano

Gemini 3.6 FlashGoogle

Coding: 62.5
Overall: 68.3
Output $/M: $3.75

GPT-5.4 NanoOpenAI

Coding: 44.8
Overall: 45.7
Output $/M: $1.25

vs boards won of 78 shared

Gemini 3.6 Flash or GPT-5.4 Nano: which to pick

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 3.0x cheaper ($1.25 vs $3.75 per million) and a lower cost per solved task ($0.14 against $1.49).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task Model BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task

78317

Shared results: 78
Gemini 3.6 Flash only: 31
GPT-5.4 Nano only: 7
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.

Coding
Vibe Coding Index, six public coding benchmarks
Gemini 3.6 Flash
Gemini 3.6 Flash scores 62.5 against 44.8.
4 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 29.0 against 16.0.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 93.4% against 77.5%.
Same board, both measured
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 89.3% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.6 Flash has a Design Arena: websites result, 1300.
Directional only
Long documents
Listed context window
Gemini 3.6 Flash
Gemini 3.6 Flash takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
Gemini 3.6 Flash $0.0026, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
Gemini 3.6 Flash $1.49, GPT-5.4 Nano $0.14.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.6 Flash 62.5 from 4 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category: Reasoning, 19.3 points apart on average over 14 shared benchmarks.
Widest single gap: ARC-AGI-2: Gemini 3.6 Flash 60.4% against GPT-5.4 Nano 5.7%, 54.7 points apart on a 0 to 100 scale.
Output price: Gemini 3.6 Flash $3.75 against GPT-5.4 Nano $1.25 per million output tokens, 3.0x apart.
Context window: Gemini 3.6 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
Category	Gemini 3.6 Flash	GPT-5.4 Nano
Coding	10	1
Intelligence	2	0
Agentic work	5	0
Reasoning	13	1
Math	6	0
Knowledge	11	0
General	29	0
All shared boards	76	2

CodingLike-for-likeSix of these boards feed the Vibe Coding Index101

Coding benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
LMArena WebDev	1538	Not measured	Only Gemini 3.6 Flash measured
AA Coding Index	69.2	56.1	Gemini 3.6 Flash
LiveCodeBench (Vals AI)	88.1%	84.0%	Gemini 3.6 Flash
SWE-bench Verified (Vals AI)	79.6%	69.8%	Gemini 3.6 Flash
Vibe Code Bench (Vals AI)	64.0%	26.1%	Gemini 3.6 Flash
Code migration (Vals AI)	30.9%	14.5%	Gemini 3.6 Flash
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.6 Flash measured
IOI (Vals AI)	35.1%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)	73.8%	41.6%	Gemini 3.6 Flash
CyberBench (Vals AI)	45.4%	Not measured	Only Gemini 3.6 Flash measured
SciCode	53.4%	47.2%	Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	42.4%	Only GPT-5.4 Nano measured
FrontierCode	34.4%	Not measured	Only Gemini 3.6 Flash measured
WeirdML	56.1%	49.2%	Gemini 3.6 Flash
ALE-Bench	715.5	1004.5	GPT-5.4 Nano
LMArena Text: coding	1491	1404	Gemini 3.6 Flash
LMArena Text: software and IT	1492	1402	Gemini 3.6 Flash
LMArena WebDev: React	1528	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: HTML	1547	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: from an image	1545	Not measured	Only Gemini 3.6 Flash measured
SciCode	10.8%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 18 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
AA Intelligence Index	34.0	20.7	Gemini 3.6 Flash
Epoch Capabilities Index	154.5	146.0	Gemini 3.6 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index50

Agentic work benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
AA Agentic Index	29.0	16.0	Gemini 3.6 Flash
Design Arena: agents building web apps	1197	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps	1181	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building mobile apps	1198	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building Android apps	1204	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building games	1180	Not measured	Only Gemini 3.6 Flash measured
Design Arena: HTML slides	1099	Not measured	Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slides	1121	Not measured	Only Gemini 3.6 Flash measured
Design Arena: spreadsheets	1071	Not measured	Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)	56.3%	38.2%	Gemini 3.6 Flash
Tax Agent Bench (Vals AI)	18.0%	5.0%	Gemini 3.6 Flash
Legal Research Bench (Vals AI)	25.0%	6.3%	Gemini 3.6 Flash
Excel Modeling Benchmark (Vals AI)	65.4%	44.8%	Gemini 3.6 Flash
BioMysteryBench (Vals AI)	58.5%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)	4.3%	Not measured	Only Gemini 3.6 Flash measured
τ²-Bench Telecom	Not measured	76.0%	Only GPT-5.4 Nano measured
APEX-Agents	46.9%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 24 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index131

Reasoning benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
GPQA Diamond	93.4%	77.5%	Gemini 3.6 Flash
MMMU Pro (Vals AI)	88.4%	73.6%	Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)	92.8%	81.7%	Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)	40.8%	28.3%	Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)	94.1%	78.5%	Gemini 3.6 Flash
ARC-AGI	91.2%	51.5%	Gemini 3.6 Flash
ARC-AGI-2	60.4%	5.7%	Gemini 3.6 Flash
Chess puzzles	42.0%	45.0%	GPT-5.4 Nano
Mystery game puzzles	30.0%	9.0%	Gemini 3.6 Flash
LMArena Text: hard prompts	1486	1381	Gemini 3.6 Flash
LMArena Text: expert	1490	1396	Gemini 3.6 Flash
LMArena Text: hard prompts in English	1484	1387	Gemini 3.6 Flash
LMArena Vision: diagrams	1314	1210	Gemini 3.6 Flash
LMArena Vision: homework	1314	1225	Gemini 3.6 Flash
Kagi LLM Benchmark	Not measured	39.7%	Only GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index60

Math benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
AIME	Not measured	88.8%	Only GPT-5.4 Nano measured
OTIS Mock AIME	94.2%	87.8%	Gemini 3.6 Flash
FrontierMath, tiers 1 to 3	58.9%	44.9%	Gemini 3.6 Flash
FrontierMath, tier 4	22.0%	12.2%	Gemini 3.6 Flash
ProofBench	36.0%	5.0%	Gemini 3.6 Flash
LMArena Text: math	1508	1405	Gemini 3.6 Flash
LMArena Text: mathematical work	1492	1409	Gemini 3.6 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 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
MMLU Pro	89.3%	77.2%	Gemini 3.6 Flash
LegalBench (Vals AI)	86.7%	77.9%	Gemini 3.6 Flash
CaseLaw (Vals AI)	Not measured	51.9%	Only GPT-5.4 Nano measured
CorpFin (Vals AI)	63.3%	61.2%	Gemini 3.6 Flash
TaxEval (Vals AI)	74.9%	67.4%	Gemini 3.6 Flash
MortgageTax (Vals AI)	67.6%	59.1%	Gemini 3.6 Flash
MedCode (Vals AI)	53.1%	41.0%	Gemini 3.6 Flash
SimpleQA Verified	66.2%	11.7%	Gemini 3.6 Flash
LMArena Text: science	1489	1374	Gemini 3.6 Flash
LMArena Text: medicine and healthcare	1469	1369	Gemini 3.6 Flash
LMArena Text: legal and government	1479	1368	Gemini 3.6 Flash
LMArena Text: business and finance	1464	1366	Gemini 3.6 Flash
FACTS Benchmark Suite	65.3%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 5 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Web design benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
Design Arena: websites	1300	Not measured	Only Gemini 3.6 Flash measured
Design Arena: UI components	1294	Not measured	Only Gemini 3.6 Flash measured
Design Arena: game dev	1263	Not measured	Only Gemini 3.6 Flash measured
Design Arena: data viz	1289	Not measured	Only Gemini 3.6 Flash measured
Design Arena: 3D	1271	Not measured	Only Gemini 3.6 Flash measured
Design Arena: all code categories	1289	Not measured	Only Gemini 3.6 Flash measured
Design Arena: ASCII art	1281	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index290

General benchmarks for Gemini 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
Public Benefits Bench (Vals AI)	56.6%	Not measured	Only Gemini 3.6 Flash measured
SAGE (Vals AI)	48.7%	38.1%	Gemini 3.6 Flash
MedScribe (Vals AI)	79.7%	77.1%	Gemini 3.6 Flash
Vals Multimodal Index	65.1%	47.6%	Gemini 3.6 Flash
IFBench	Not measured	75.9%	Only GPT-5.4 Nano measured
Long context reasoning (AA-LCR)	80.0%	76.7%	Gemini 3.6 Flash
DTBench	95.5%	80.3%	Gemini 3.6 Flash
LMCA	44.9%	36.9%	Gemini 3.6 Flash
Furniture assembly	23.3%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text	1480	1372	Gemini 3.6 Flash
LMArena Text: instruction following	1467	1362	Gemini 3.6 Flash
LMArena Text: creative writing	1466	1315	Gemini 3.6 Flash
LMArena Vision	1299	1196	Gemini 3.6 Flash
LMArena Text: English	1482	1381	Gemini 3.6 Flash
LMArena Text: non-English	1470	1359	Gemini 3.6 Flash
LMArena Text: Chinese	1531	1391	Gemini 3.6 Flash
LMArena Text: German	1480	1368	Gemini 3.6 Flash
LMArena Text: Japanese	1475	1343	Gemini 3.6 Flash
LMArena Text: Korean	1429	1321	Gemini 3.6 Flash
LMArena Text: French	1503	1395	Gemini 3.6 Flash
LMArena Text: Spanish	1476	1371	Gemini 3.6 Flash
LMArena Text: Russian	1488	1363	Gemini 3.6 Flash
LMArena Text: Polish	1473	1366	Gemini 3.6 Flash
LMArena Text: multi-turn	1481	1382	Gemini 3.6 Flash
LMArena Text: longer queries	1475	1365	Gemini 3.6 Flash
LMArena Text: writing and language	1470	1338	Gemini 3.6 Flash
LMArena Text: entertainment and media	1456	1325	Gemini 3.6 Flash
LMArena Vision: English	1295	1202	Gemini 3.6 Flash
LMArena Vision: Chinese	1357	1232	Gemini 3.6 Flash
LMArena Vision: reading text	1312	1204	Gemini 3.6 Flash
LMArena Vision: humor	1289	1161	Gemini 3.6 Flash
LMArena Vision: recognizing things	Not measured	1141	Only GPT-5.4 Nano measured
LMArena Vision: creative writing	1278	1159	Gemini 3.6 Flash
LMArena Document	1456	Not measured	Only Gemini 3.6 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 3.6 Flash and GPT-5.4 Nano
Benchmark	Gemini 3.6 Flash	GPT-5.4 Nano	Leader
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 Nano$0.0008Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits 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 3.6 Flash$0.188Fits 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 3.6 Flash and GPT-5.4 Nano
Specification	Google Gemini 3.6 Flash	OpenAI GPT-5.4 Nano
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	July 21, 2026	March 17, 2026
Context window	1.05M	400K
Input $/Mtok	$0.75	$0.20
Output $/Mtok	$3.75	$1.25
Coding index	62.5	44.8
Independent measurements behind it	4	2
Cost per solved task	$1.49	$0.14
Source	OpenRouter listing	OpenRouter listing

Questions

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

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 3.0x cheaper ($1.25 vs $3.75 per million) and a lower cost per solved task ($0.14 against $1.49).

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

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GPT-5.4 Nano $0.14.

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

Gemini 3.6 Flash, with 1.05M tokens against 400K.

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

78 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 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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Gemini 3.6 Flash or GPT-5.4 Nano: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next