Enter opens the highlighted result. Esc closes.

Gemini 3.6 Flash vs GPT-5

Gemini 3.6 Flash leads GPT-5 on coding, 62.5 to 38.8 on the Vibe Coding Index, and Gemini 3.6 Flash costs 2.7x less per output token ($3.75 vs $10.00 per million). Updated October 21, 2026; 80 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-5
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
76
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
3
vs boards won of 80 shared, 1 tied

Gemini 3.6 Flash or GPT-5: which to pick

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 38.8 for GPT-5.

Pick GPT-5 for a lower cost per solved task ($0.39 against $1.49) and work measured by WeirdML or ALE-Bench, where it leads.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved task
Shared results
80
Gemini 3.6 Flash only
29
GPT-5 only
33
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 3.6 Flash 62.5 from 4 benchmarks, GPT-5 38.8 from 3 benchmarks.
Widest category
Web design, 15.3 points apart on average over 7 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.6 Flash 60.4% against GPT-5 9.9%, 50.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-5 $10.00 per million output tokens, 2.7x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, GPT-5 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 3.6 FlashBarsGPT-5Ties
Coding92
Intelligence20
Reasoning140
Math501 tie
Knowledge120
Web design70
General271
All shared boards7631 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index92
Coding benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
Aider polyglotNot measured88.0%Only GPT-5 measured
SWE-bench VerifiedNot measured74.4%Only GPT-5 measured
LMArena WebDev15381418Gemini 3.6 Flash
AA Coding Index69.237.8Gemini 3.6 Flash
LiveCodeBench (Vals AI)88.1%85.9%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%69.0%Gemini 3.6 Flash
Vibe Code Bench (Vals AI)64.0%20.1%Gemini 3.6 Flash
Code migration (Vals AI)30.9%Not measuredOnly Gemini 3.6 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
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
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured84.6%Only GPT-5 measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only GPT-5 measured
Terminal-BenchNot measured49.6%Only GPT-5 measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
GSO-BenchNot measured6.9%Only GPT-5 measured
WeirdML56.1%60.7%GPT-5
ALE-Bench715.5807.6GPT-5
LMArena Text: coding14911436Gemini 3.6 Flash
LMArena Text: software and IT14921420Gemini 3.6 Flash
LMArena WebDev: React1528Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: HTML15471427Gemini 3.6 Flash
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
SciCode10.8%0.0%Gemini 3.6 Flash
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
AA Intelligence Index34.023.0Gemini 3.6 Flash
Epoch Capabilities Index154.5150.0Gemini 3.6 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1199Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1203Not measuredOnly Gemini 3.6 Flash 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 measured86.5%Only GPT-5 measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
METR time horizonsNot measured69.6%Only GPT-5 measured
Remote Labor IndexNot measured1.7%Only GPT-5 measured
GDPvalNot measured34.8%Only GPT-5 measured
BALROGNot measured32.8%Only GPT-5 measured
DeepResearch BenchNot measured49.6%Only GPT-5 measured
BrowseComp-PlusNot measured80.0%Only GPT-5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index140
Reasoning benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
GPQA Diamond93.4%85.6%Gemini 3.6 Flash
MMMU Pro (Vals AI)88.4%81.5%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%85.4%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%28.5%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%86.2%Gemini 3.6 Flash
ARC-AGI91.2%65.7%Gemini 3.6 Flash
ARC-AGI-260.4%9.9%Gemini 3.6 Flash
SimpleBenchNot measured56.7%Only GPT-5 measured
Chess puzzles42.0%36.0%Gemini 3.6 Flash
Mystery game puzzles30.0%23.0%Gemini 3.6 Flash
EBR-benchNot measured12.7%Only GPT-5 measured
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts14861415Gemini 3.6 Flash
LMArena Text: expert14901419Gemini 3.6 Flash
LMArena Text: hard prompts in English14841419Gemini 3.6 Flash
LMArena Vision: diagrams13141252Gemini 3.6 Flash
LMArena Vision: homework13141278Gemini 3.6 Flash
Kagi LLM BenchmarkNot measured72.7%Only GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
AIMENot measured93.4%Only GPT-5 measured
MATH 500 (Vals AI)Not measured96.0%Only GPT-5 measured
MGSM (Vals AI)Not measured92.8%Only GPT-5 measured
AA Math IndexNot measured94.3Only GPT-5 measured
AIME 2025 (Artificial Analysis run)Not measured94.3%Only GPT-5 measured
OTIS Mock AIME94.2%91.4%Gemini 3.6 Flash
FrontierMath, tiers 1 to 358.9%55.4%Gemini 3.6 Flash
FrontierMath, tier 422.0%22.0%Tie
ProofBench36.0%18.0%Gemini 3.6 Flash
MATH level 5Not measured98.1%Only GPT-5 measured
LMArena Text: math15081407Gemini 3.6 Flash
LMArena Text: mathematical work14921405Gemini 3.6 Flash
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
MMLU Pro89.3%86.5%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%86.0%Gemini 3.6 Flash
CaseLaw (Vals AI)Not measured66.5%Only GPT-5 measured
CorpFin (Vals AI)63.3%61.1%Gemini 3.6 Flash
TaxEval (Vals AI)74.9%73.4%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%65.5%Gemini 3.6 Flash
MedQA (Vals AI)Not measured96.3%Only GPT-5 measured
MedCode (Vals AI)53.1%49.6%Gemini 3.6 Flash
MMLU Pro (Artificial Analysis run)Not measured87.1%Only GPT-5 measured
SimpleQA Verified66.2%50.1%Gemini 3.6 Flash
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science14891416Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691413Gemini 3.6 Flash
LMArena Text: legal and government14791431Gemini 3.6 Flash
LMArena Text: business and finance14641400Gemini 3.6 Flash
FACTS Benchmark Suite65.3%56.5%Gemini 3.6 Flash
Neither model has a result on the other 2 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
BenchmarkGemini 3.6 FlashGPT-5Leader
Design Arena: websites13001184Gemini 3.6 Flash
Design Arena: UI components12971180Gemini 3.6 Flash
Design Arena: game dev12631185Gemini 3.6 Flash
Design Arena: data viz12891221Gemini 3.6 Flash
Design Arena: 3D12721056Gemini 3.6 Flash
Design Arena: all code categories12901168Gemini 3.6 Flash
Design Arena: SVGNot measured1189Only GPT-5 measured
Design Arena: ASCII art12811141Gemini 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 index271
General benchmarks for Gemini 3.6 Flash and GPT-5
BenchmarkGemini 3.6 FlashGPT-5Leader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%43.7%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%83.7%GPT-5
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
IFBenchNot measured73.1%Only GPT-5 measured
Long context reasoning (AA-LCR)80.0%78.2%Gemini 3.6 Flash
DTBench95.5%90.7%Gemini 3.6 Flash
LMCA44.9%40.0%Gemini 3.6 Flash
Fiction.LiveBenchNot measured97.2%Only GPT-5 measured
Creative writing (Lech Mazur)Not measured86.0%Only GPT-5 measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801406Gemini 3.6 Flash
LMArena Text: instruction following14671388Gemini 3.6 Flash
LMArena Text: creative writing14661365Gemini 3.6 Flash
LMArena Vision12991232Gemini 3.6 Flash
LMArena Text: English14821409Gemini 3.6 Flash
LMArena Text: non-English14701397Gemini 3.6 Flash
LMArena Text: Chinese15311422Gemini 3.6 Flash
LMArena Text: German14801416Gemini 3.6 Flash
LMArena Text: Japanese14751409Gemini 3.6 Flash
LMArena Text: Korean14291360Gemini 3.6 Flash
LMArena Text: French15031409Gemini 3.6 Flash
LMArena Text: Spanish14761399Gemini 3.6 Flash
LMArena Text: Russian14881407Gemini 3.6 Flash
LMArena Text: Polish14731431Gemini 3.6 Flash
LMArena Text: multi-turn14811426Gemini 3.6 Flash
LMArena Text: longer queries14751399Gemini 3.6 Flash
LMArena Text: writing and language14701384Gemini 3.6 Flash
LMArena Text: entertainment and media14561379Gemini 3.6 Flash
LMArena Vision: English12951231Gemini 3.6 Flash
LMArena Vision: Chinese13571267Gemini 3.6 Flash
LMArena Vision: reading text13121246Gemini 3.6 Flash
LMArena Vision: humor12891219Gemini 3.6 Flash
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing thingsNot measured1263Only GPT-5 measured
LMArena Vision: creative writing12781210Gemini 3.6 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 9 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
BenchmarkGemini 3.6 FlashGPT-5Leader
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$0.0063Fits 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$0.092Fits 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$0.350Fits 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
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-5
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026August 7, 2025
Context window1.05M400K
Input $/Mtok$0.75$1.25
Output $/Mtok$3.75$10.00
Coding index62.538.8
Independent measurements behind it43
Cost per solved task$1.49$0.39
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-5 for coding?

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 38.8 for GPT-5. Pick GPT-5 for a lower cost per solved task ($0.39 against $1.49) and work measured by WeirdML or ALE-Bench, where it leads.

Which is cheaper, Gemini 3.6 Flash or GPT-5?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GPT-5 $0.39.

Which has the bigger context window, Gemini 3.6 Flash or GPT-5?

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

How many benchmarks is the Gemini 3.6 Flash vs GPT-5 comparison based on?

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

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-6-flash-vs-gpt-5" title="Gemini 3.6 Flash vs GPT-5, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-6-flash-vs-gpt-5">LLMBenchmark.ai, Gemini 3.6 Flash vs GPT-5</a></p>