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Gemini 3.6 Flash vs GPT-5.1

Gemini 3.6 Flash leads GPT-5.1 on coding, 62.5 to 40.4 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 22, 2026; 78 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-5.1
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
72
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
3
vs boards won of 78 shared, 3 tied

Gemini 3.6 Flash or GPT-5.1: which to pick

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 40.4 for GPT-5.1.

Pick GPT-5.1 for a lower cost per solved task ($1.02 against $1.49) and work measured by WeirdML or CorpFin (Vals AI), where it leads.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved task
Shared results
78
Gemini 3.6 Flash only
31
GPT-5.1 only
23
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-5.1 40.4 from 3 benchmarks.
Widest category
Coding, 17.2 points apart on average over 11 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.6 Flash 60.4% against GPT-5.1 17.6%, 42.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-5.1 $10.00 per million output tokens, 2.7x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, GPT-5.1 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-5.1Ties
Coding101
Intelligence20
Reasoning1301 tie
Math30
Knowledge1011 tie
Web design70
General2711 tie
All shared boards7233 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for Gemini 3.6 Flash and GPT-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
SWE-bench VerifiedNot measured66.0%Only GPT-5.1 measured
LMArena WebDev15381396Gemini 3.6 Flash
AA Coding Index69.249.4Gemini 3.6 Flash
LiveCodeBench (Vals AI)88.1%86.5%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%69.8%Gemini 3.6 Flash
Vibe Code Bench (Vals AI)64.0%24.6%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 measured86.8%Only GPT-5.1 measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured45.5%Only GPT-5.1 measured
Terminal-BenchNot measured47.6%Only GPT-5.1 measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
GSO-BenchNot measured13.7%Only GPT-5.1 measured
WeirdML56.1%60.8%GPT-5.1
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding14911453Gemini 3.6 Flash
LMArena Text: software and IT14921454Gemini 3.6 Flash
LMArena WebDev: React15281307Gemini 3.6 Flash
LMArena WebDev: HTML15471405Gemini 3.6 Flash
LMArena WebDev: from an image15451421Gemini 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 index20
Intelligence benchmarks for Gemini 3.6 Flash and GPT-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
AA Intelligence Index34.024.7Gemini 3.6 Flash
Epoch Capabilities Index154.5149.8Gemini 3.6 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for Gemini 3.6 Flash and GPT-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
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 apps1198Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1204Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1099Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1121Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1071Not 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 measured81.9%Only GPT-5.1 measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
DeepResearch BenchNot measured42.8%Only GPT-5.1 measured
Vending-Bench 2Not measured$1,473Only GPT-5.1 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Gemini 3.6 Flash and GPT-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
GPQA Diamond93.4%86.6%Gemini 3.6 Flash
MMMU Pro (Vals AI)88.4%83.2%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%87.3%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%87.6%Gemini 3.6 Flash
ARC-AGI91.2%72.8%Gemini 3.6 Flash
ARC-AGI-260.4%17.6%Gemini 3.6 Flash
SimpleBenchNot measured53.2%Only GPT-5.1 measured
Chess puzzles42.0%42.0%Tie
Mystery game puzzles30.0%19.0%Gemini 3.6 Flash
VPCTNot measured58.7%Only GPT-5.1 measured
LMArena Text: hard prompts14861457Gemini 3.6 Flash
LMArena Text: expert14901470Gemini 3.6 Flash
LMArena Text: hard prompts in English14841462Gemini 3.6 Flash
LMArena Vision: diagrams13141264Gemini 3.6 Flash
LMArena Vision: homework13141272Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.6 Flash and GPT-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
AIMENot measured93.3%Only GPT-5.1 measured
MGSM (Vals AI)Not measured93.0%Only GPT-5.1 measured
AA Math IndexNot measured94.0Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)Not measured94.0%Only GPT-5.1 measured
OTIS Mock AIME94.2%88.6%Gemini 3.6 Flash
FrontierMath, tiers 1 to 358.9%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.6 Flash measured
ProofBench36.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: math15081446Gemini 3.6 Flash
LMArena Text: mathematical work14921449Gemini 3.6 Flash
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
Knowledge benchmarks for Gemini 3.6 Flash and GPT-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
MMLU Pro89.3%86.4%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%85.7%Gemini 3.6 Flash
CaseLaw (Vals AI)Not measured73.4%Only GPT-5.1 measured
CorpFin (Vals AI)63.3%63.8%GPT-5.1
TaxEval (Vals AI)74.9%74.9%Tie
MortgageTax (Vals AI)67.6%61.4%Gemini 3.6 Flash
MedQA (Vals AI)Not measured96.4%Only GPT-5.1 measured
MedCode (Vals AI)53.1%52.7%Gemini 3.6 Flash
MMLU Pro (Artificial Analysis run)Not measured87.0%Only GPT-5.1 measured
SimpleQA Verified66.2%48.0%Gemini 3.6 Flash
LMArena Text: science14891459Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691456Gemini 3.6 Flash
LMArena Text: legal and government14791459Gemini 3.6 Flash
LMArena Text: business and finance14641431Gemini 3.6 Flash
FACTS Benchmark Suite65.3%45.0%Gemini 3.6 Flash
Neither model has a result on the other 3 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-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
Design Arena: websites13001187Gemini 3.6 Flash
Design Arena: UI components12941163Gemini 3.6 Flash
Design Arena: game dev12631178Gemini 3.6 Flash
Design Arena: data viz12891204Gemini 3.6 Flash
Design Arena: 3D12711060Gemini 3.6 Flash
Design Arena: all code categories12891170Gemini 3.6 Flash
Design Arena: SVGNot measured1149Only GPT-5.1 measured
Design Arena: ASCII art12811119Gemini 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-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%43.2%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%88.1%GPT-5.1
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
IFBenchNot measured72.9%Only GPT-5.1 measured
Long context reasoning (AA-LCR)80.0%80.0%Tie
DTBench95.5%90.1%Gemini 3.6 Flash
LMCA44.9%43.9%Gemini 3.6 Flash
CL-benchNot measured23.7%Only GPT-5.1 measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text14801443Gemini 3.6 Flash
LMArena Text: instruction following14671443Gemini 3.6 Flash
LMArena Text: creative writing14661427Gemini 3.6 Flash
LMArena Vision12991250Gemini 3.6 Flash
LMArena Text: English14821451Gemini 3.6 Flash
LMArena Text: non-English14701431Gemini 3.6 Flash
LMArena Text: Chinese15311495Gemini 3.6 Flash
LMArena Text: German14801438Gemini 3.6 Flash
LMArena Text: Japanese14751453Gemini 3.6 Flash
LMArena Text: Korean14291401Gemini 3.6 Flash
LMArena Text: French15031450Gemini 3.6 Flash
LMArena Text: Spanish14761433Gemini 3.6 Flash
LMArena Text: Russian14881435Gemini 3.6 Flash
LMArena Text: Polish14731440Gemini 3.6 Flash
LMArena Text: multi-turn14811450Gemini 3.6 Flash
LMArena Text: longer queries14751448Gemini 3.6 Flash
LMArena Text: writing and language14701428Gemini 3.6 Flash
LMArena Text: entertainment and media14561415Gemini 3.6 Flash
LMArena Vision: English12951252Gemini 3.6 Flash
LMArena Vision: Chinese13571270Gemini 3.6 Flash
LMArena Vision: reading text13121255Gemini 3.6 Flash
LMArena Vision: humor12891263Gemini 3.6 Flash
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.1 measured
LMArena Vision: creative writing12781266Gemini 3.6 Flash
LMArena Document14561403Gemini 3.6 Flash
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-5.1
BenchmarkGemini 3.6 FlashGPT-5.1Leader
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-5.1$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-5.1$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-5.1$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-5.1
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-5.1
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026November 13, 2025
Context window1.05M400K
Input $/Mtok$0.75$1.25
Output $/Mtok$3.75$10.00
Coding index62.540.4
Independent measurements behind it43
Cost per solved task$1.49$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-5.1 for coding?

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 40.4 for GPT-5.1. Pick GPT-5.1 for a lower cost per solved task ($1.02 against $1.49) and work measured by WeirdML or CorpFin (Vals AI), where it leads.

Which is cheaper, Gemini 3.6 Flash or GPT-5.1?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GPT-5.1 $1.02.

Which has the bigger context window, Gemini 3.6 Flash or GPT-5.1?

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

How many benchmarks is the Gemini 3.6 Flash vs GPT-5.1 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-5.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-6-flash-vs-gpt-5-1" title="Gemini 3.6 Flash vs GPT-5.1, 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-5-1">LLMBenchmark.ai, Gemini 3.6 Flash vs GPT-5.1</a></p>