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Gemini 3.6 Flash vs GPT-5.5

GPT-5.5 leads Gemini 3.6 Flash on coding, 71.3 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 8.0x less per output token ($3.75 vs $30.00 per million). Updated October 21, 2026; 103 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-5.5
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
47
GPT-5.5OpenAI
Coding
71.3
Overall
69.2
Output $/M
$30.00
56
vs boards won of 103 shared

Gemini 3.6 Flash or GPT-5.5: which to pick

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash for output tokens 8.0x cheaper ($3.75 vs $30.00 per million) and a lower cost per solved task ($1.49 against $1.65).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-5.5OpenAI71.3/1005 independent benchmarks$1.65 per solved task
Shared results
103
Gemini 3.6 Flash only
6
GPT-5.5 only
31
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-5.5 71.3 from 5 benchmarks.
Widest category
Math, 17.4 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.6 Flash 22.0% against GPT-5.5 72.5%, 50.5 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-5.5 $30.00 per million output tokens, 8.0x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, GPT-5.5 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-5.5Ties
Coding512
Intelligence02
Agentic work94
Reasoning410
Math24
Knowledge66
Web design61
General1517
All shared boards4756
CodingLike-for-likeSix of these boards feed the Vibe Coding Index512
Coding benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
LiveBench codingNot measured85.1%Only GPT-5.5 measured
LMArena WebDev15381513Gemini 3.6 Flash
AA Coding Index69.274.9GPT-5.5
LiveCodeBench (Vals AI)88.1%85.3%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%82.6%GPT-5.5
Vibe Code Bench (Vals AI)64.0%69.8%GPT-5.5
Code migration (Vals AI)30.9%45.2%GPT-5.5
ProgramBench (Vals AI)0.0%0.5%GPT-5.5
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%76.4%GPT-5.5
SkillsBench (Vals AI)Not measured62.5%Only GPT-5.5 measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%56.1%GPT-5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured60.6%Only GPT-5.5 measured
Terminal-BenchNot measured84.7%Only GPT-5.5 measured
FrontierCode34.4%43.0%GPT-5.5
GSO-BenchNot measured40.2%Only GPT-5.5 measured
WeirdML56.1%84.9%GPT-5.5
MirrorCodeNot measured10.0%Only GPT-5.5 measured
ALE-Bench715.51943.0GPT-5.5
LMArena Text: coding14911494GPT-5.5
LMArena Text: software and IT14921493GPT-5.5
LMArena WebDev: React15281506Gemini 3.6 Flash
LMArena WebDev: HTML15471543Gemini 3.6 Flash
LMArena WebDev: from an image15451532Gemini 3.6 Flash
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
AA Intelligence Index34.038.4GPT-5.5
Epoch Capabilities Index154.5159.7GPT-5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index94
Agentic work benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
AA Agentic Index29.036.4GPT-5.5
Design Arena: agents building web apps11971117Gemini 3.6 Flash
Design Arena: agents building full-stack apps11811089Gemini 3.6 Flash
Design Arena: agents building mobile apps11991143Gemini 3.6 Flash
Design Arena: agents building Android apps12031163Gemini 3.6 Flash
Design Arena: agents building Godot gamesNot measured1173Only GPT-5.5 measured
Design Arena: agents building games11811179Gemini 3.6 Flash
Design Arena: HTML slides11481067Gemini 3.6 Flash
Design Arena: PowerPoint slides11461109Gemini 3.6 Flash
Design Arena: spreadsheets1034Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured61.6%Only GPT-5.5 measured
LiveBench browserNot measured48.0%Only GPT-5.5 measured
LiveBench long agenticNot measured44.6%Only GPT-5.5 measured
SREBench (Vals AI)Not measured3.8%Only GPT-5.5 measured
Finance Agent (Vals AI)56.3%51.8%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%21.8%GPT-5.5
Legal Research Bench (Vals AI)25.0%40.4%GPT-5.5
Excel Modeling Benchmark (Vals AI)65.4%64.5%Gemini 3.6 Flash
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
Time Horizon Index (Vals AI)Not measured8.3%Only GPT-5.5 measured
τ²-Bench TelecomNot measured93.9%Only GPT-5.5 measured
APEX-Agents46.9%55.1%GPT-5.5
Remote Labor IndexNot measured6.3%Only GPT-5.5 measured
OSWorld 2.0Not measured13.0%Only GPT-5.5 measured
DeepResearch BenchNot measured54.0%Only GPT-5.5 measured
PostTrainBenchNot measured27.2%Only GPT-5.5 measured
Vending-Bench 2Not measured$7,524Only GPT-5.5 measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index410
Reasoning benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
GPQA Diamond93.4%93.2%Gemini 3.6 Flash
LiveBench reasoningNot measured89.7%Only GPT-5.5 measured
MMMU Pro (Vals AI)88.4%88.3%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%93.5%GPT-5.5
Humanity's Last Exam (Artificial Analysis run)40.8%45.8%GPT-5.5
GPQA Diamond (Epoch AI run)94.1%90.7%Gemini 3.6 Flash
ARC-AGI91.2%95.0%GPT-5.5
ARC-AGI-260.4%85.0%GPT-5.5
SimpleBenchNot measured69.0%Only GPT-5.5 measured
Chess puzzles42.0%63.0%GPT-5.5
Mystery game puzzles30.0%56.0%GPT-5.5
EBR-benchNot measured34.3%Only GPT-5.5 measured
LMArena Text: hard prompts14861489GPT-5.5
LMArena Text: expert14901507GPT-5.5
LMArena Text: hard prompts in English14841483Gemini 3.6 Flash
LMArena Vision: diagrams13141325GPT-5.5
LMArena Vision: homework13141332GPT-5.5
Kagi LLM BenchmarkNot measured88.8%Only GPT-5.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
OTIS Mock AIME94.2%84.4%Gemini 3.6 Flash
FrontierMath, tiers 1 to 358.9%85.3%GPT-5.5
FrontierMath, tier 422.0%72.5%GPT-5.5
ProofBench36.0%50.0%GPT-5.5
LMArena Text: math15081487Gemini 3.6 Flash
LMArena Text: mathematical work14921496GPT-5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index66
Knowledge benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
MMLU Pro89.3%88.1%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%86.5%Gemini 3.6 Flash
CaseLaw (Vals AI)Not measured66.2%Only GPT-5.5 measured
CorpFin (Vals AI)63.3%68.4%GPT-5.5
TaxEval (Vals AI)74.9%75.0%GPT-5.5
MortgageTax (Vals AI)67.6%68.8%GPT-5.5
MedCode (Vals AI)53.1%49.1%Gemini 3.6 Flash
SimpleQA Verified66.2%63.0%Gemini 3.6 Flash
LMArena Text: science14891485Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691465Gemini 3.6 Flash
LMArena Text: legal and government14791491GPT-5.5
LMArena Text: business and finance14641478GPT-5.5
FACTS Benchmark Suite65.3%66.7%GPT-5.5
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
Design Arena: websites13001256Gemini 3.6 Flash
Design Arena: UI components12971260Gemini 3.6 Flash
Design Arena: game dev12631294GPT-5.5
Design Arena: data viz12891265Gemini 3.6 Flash
Design Arena: 3D12721198Gemini 3.6 Flash
Design Arena: all code categories12901260Gemini 3.6 Flash
Design Arena: SVGNot measured1234Only GPT-5.5 measured
Design Arena: ASCII art12811255Gemini 3.6 Flash
LiveBench designNot measured70.3%Only GPT-5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1517
General benchmarks for Gemini 3.6 Flash and GPT-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
LiveBench data analysisNot measured81.6%Only GPT-5.5 measured
Public Benefits Bench (Vals AI)56.6%60.9%GPT-5.5
SAGE (Vals AI)48.7%51.5%GPT-5.5
MedScribe (Vals AI)79.7%86.9%GPT-5.5
Vals Multimodal Index65.1%68.1%GPT-5.5
IFBenchNot measured75.9%Only GPT-5.5 measured
Long context reasoning (AA-LCR)80.0%84.3%GPT-5.5
DTBench95.5%96.0%GPT-5.5
LMCA44.9%54.3%GPT-5.5
Surface Evolver BenchNot measured88.1%Only GPT-5.5 measured
Furniture assembly23.3%44.2%GPT-5.5
ExploitBenchNot measured47.4%Only GPT-5.5 measured
CL-bench LifeNot measured22.2%Only GPT-5.5 measured
LMArena Text14801471Gemini 3.6 Flash
LMArena Text: instruction following14671478GPT-5.5
LMArena Text: creative writing14661455Gemini 3.6 Flash
LMArena Vision12991297Gemini 3.6 Flash
LMArena Text: English14821470Gemini 3.6 Flash
LMArena Text: non-English14701467Gemini 3.6 Flash
LMArena Text: Chinese15311534GPT-5.5
LMArena Text: German14801480Gemini 3.6 Flash
LMArena Text: Japanese14751499GPT-5.5
LMArena Text: Korean14291460GPT-5.5
LMArena Text: French15031485Gemini 3.6 Flash
LMArena Text: Spanish14761468Gemini 3.6 Flash
LMArena Text: Russian14881473Gemini 3.6 Flash
LMArena Text: Polish14731465Gemini 3.6 Flash
LMArena Text: multi-turn14811476Gemini 3.6 Flash
LMArena Text: longer queries14751484GPT-5.5
LMArena Text: writing and language14701466Gemini 3.6 Flash
LMArena Text: entertainment and media14561449Gemini 3.6 Flash
LMArena Vision: English12951292Gemini 3.6 Flash
LMArena Vision: Chinese13571360GPT-5.5
LMArena Vision: reading text13121306Gemini 3.6 Flash
LMArena Vision: humor12891293GPT-5.5
LMArena Vision: recognizing thingsNot measured1231Only GPT-5.5 measured
LMArena Vision: creative writing12781301GPT-5.5
LMArena Document14561486GPT-5.5
Neither model has a result on the other 8 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-5.5
BenchmarkGemini 3.6 FlashGPT-5.5Leader
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-5.5$0.020Fits 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-5.5$0.340Fits 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-5.5$1.30Fits 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-5.5
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-5.5
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026April 24, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$5.00
Output $/Mtok$3.75$30.00
Coding index62.571.3
Independent measurements behind it45
Cost per solved task$1.49$1.65
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-5.5 for coding?

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash for output tokens 8.0x cheaper ($3.75 vs $30.00 per million) and a lower cost per solved task ($1.49 against $1.65).

Which is cheaper, Gemini 3.6 Flash or GPT-5.5?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.5 costs $5.00 and $30.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GPT-5.5 $1.65.

Which has the bigger context window, Gemini 3.6 Flash or GPT-5.5?

GPT-5.5, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.6 Flash vs GPT-5.5 comparison based on?

103 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-5.5's on 5. Where only one model has a result, the page says so instead of naming a winner.

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