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Gemini 3.6 Flash vs Gemini 3.8 Flash

Updated October 21, 2026. 102 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.6 Flash Replace Gemini 3.8 Flash
Gemini 3.6 FlashGoogle
Coding
48.3
Overall
34.0
Output $/M
$3.75
9
Gemini 3.8 FlashGoogle
Coding
70.5
Overall
40.9
Output $/M
$4.125
91
vs boards won of 102 shared, 2 tied

Decision reading

Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash when output tokens cost 1.1x less, or when a solved task costs $1.49 against $2.74.

Model AGemini 3.6 FlashGoogle48.3/1001 independent benchmark$1.49 per solved taskModel BGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved task
Shared results
102
Gemini 3.6 Flash only
5
Gemini 3.8 Flash only
24
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 48.3 from 1 benchmark, Gemini 3.8 Flash 70.5 from 2 benchmarks.
Widest category
Agentic work, 8.5 points apart on average over 14 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.6 Flash 60.4% against Gemini 3.8 Flash 89.2%, 28.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Gemini 3.8 Flash $4.125 per million output tokens, 1.1x apart.
Context window
Both take 1.05M tokens.

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 FlashBarsGemini 3.8 FlashTies
Coding118
Intelligence02
Agentic work113
Reasoning014
Math051 tie
Knowledge37
Web design241 tie
General228
All shared boards9912 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index118
Coding benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
LiveBench codingNot measured82.2%Only Gemini 3.8 Flash measured
LMArena WebDev15381585Gemini 3.8 Flash
AA Coding Index69.276.3Gemini 3.8 Flash
LiveCodeBench (Vals AI)88.1%89.5%Gemini 3.8 Flash
SWE-bench Verified (Vals AI)79.6%80.0%Gemini 3.8 Flash
Terminal-Bench 4 (Vals AI)Not measured19.7%Only Gemini 3.8 Flash measured
Vibe Code Bench (Vals AI)64.0%78.7%Gemini 3.8 Flash
Code migration (Vals AI)30.9%36.5%Gemini 3.8 Flash
ProgramBench (Vals AI)0.0%1.0%Gemini 3.8 Flash
IOI (Vals AI)35.1%56.9%Gemini 3.8 Flash
Terminal-Bench 2.1 (Vals AI)73.8%81.3%Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)Not measured18.8%Only Gemini 3.8 Flash measured
SkillsBench (Vals AI)Not measured58.0%Only Gemini 3.8 Flash measured
CyberBench (Vals AI)45.4%43.8%Gemini 3.6 Flash
SciCode53.4%56.6%Gemini 3.8 Flash
FrontierCode34.4%41.2%Gemini 3.8 Flash
FrontierSWENot measured19.6%Only Gemini 3.8 Flash measured
WeirdML56.1%84.8%Gemini 3.8 Flash
ALE-Bench715.51269.7Gemini 3.8 Flash
LMArena Text: coding14911508Gemini 3.8 Flash
LMArena Text: software and IT14921507Gemini 3.8 Flash
LMArena WebDev: React15281577Gemini 3.8 Flash
LMArena WebDev: HTML15471616Gemini 3.8 Flash
LMArena WebDev: from an image15451593Gemini 3.8 Flash
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 Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
AA Intelligence Index34.040.9Gemini 3.8 Flash
Epoch Capabilities Index154.5157.4Gemini 3.8 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index113
Agentic work benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
AA Agentic Index29.040.2Gemini 3.8 Flash
Design Arena: agents building web apps11971238Gemini 3.8 Flash
Design Arena: agents building full-stack apps11811244Gemini 3.8 Flash
Design Arena: agents building mobile apps11991236Gemini 3.8 Flash
Design Arena: agents building Android apps12081078Gemini 3.6 Flash
Design Arena: agents building Godot gamesNot measured1273Only Gemini 3.8 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 slides11461178Gemini 3.8 Flash
Design Arena: spreadsheets10171052Gemini 3.8 Flash
LiveBench researchNot measured79.1%Only Gemini 3.8 Flash measured
LiveBench browserNot measured64.0%Only Gemini 3.8 Flash measured
LiveBench long agenticNot measured30.1%Only Gemini 3.8 Flash measured
SREBench (Vals AI)Not measured11.1%Only Gemini 3.8 Flash measured
Finance Agent (Vals AI)56.3%61.4%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)18.0%32.1%Gemini 3.8 Flash
Legal Research Bench (Vals AI)25.0%38.9%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.1%Only Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%72.2%Gemini 3.8 Flash
BioMysteryBench (Vals AI)58.5%62.2%Gemini 3.8 Flash
Terminal-Bench-Science (Vals AI)4.3%8.6%Gemini 3.8 Flash
Vals Science IndexNot measured35.8%Only Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)Not measured18.8%Only Gemini 3.8 Flash measured
CUA-bench (Vals AI)Not measured4.2%Only Gemini 3.8 Flash measured
APEX-Agents46.9%64.3%Gemini 3.8 Flash
Remote Labor IndexNot measured5.8%Only Gemini 3.8 Flash measured
Vending-Bench 2Not measured$5,094Only Gemini 3.8 Flash measured
Neither model has a result on the other 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index014
Reasoning benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
GPQA Diamond93.4%94.4%Gemini 3.8 Flash
LiveBench reasoningNot measured89.3%Only Gemini 3.8 Flash measured
MysteryMechanism (Vals AI)Not measured36.5%Only Gemini 3.8 Flash measured
MMMU Pro (Vals AI)88.4%89.1%Gemini 3.8 Flash
GPQA Diamond (Artificial Analysis run)92.8%95.3%Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%47.8%Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)94.1%95.4%Gemini 3.8 Flash
ARC-AGI91.2%98.5%Gemini 3.8 Flash
ARC-AGI-260.4%89.2%Gemini 3.8 Flash
Chess puzzles42.0%58.0%Gemini 3.8 Flash
Mystery game puzzles30.0%47.0%Gemini 3.8 Flash
LMArena Text: hard prompts14861509Gemini 3.8 Flash
LMArena Text: expert14901526Gemini 3.8 Flash
LMArena Text: hard prompts in English14841504Gemini 3.8 Flash
LMArena Vision: diagrams13141345Gemini 3.8 Flash
LMArena Vision: homework13141351Gemini 3.8 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
OTIS Mock AIME94.2%98.9%Gemini 3.8 Flash
FrontierMath, tiers 1 to 358.9%68.4%Gemini 3.8 Flash
FrontierMath, tier 422.0%22.0%Tie
ProofBench36.0%48.0%Gemini 3.8 Flash
LMArena Text: math15081532Gemini 3.8 Flash
LMArena Text: mathematical work14921519Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index37
Knowledge benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
MMLU Pro89.3%90.2%Gemini 3.8 Flash
LegalBench (Vals AI)86.7%87.0%Gemini 3.8 Flash
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%74.5%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%65.3%Gemini 3.6 Flash
MedCode (Vals AI)53.1%48.1%Gemini 3.6 Flash
SimpleQA Verified66.2%69.7%Gemini 3.8 Flash
LMArena Text: science14891523Gemini 3.8 Flash
LMArena Text: medicine and healthcare14691508Gemini 3.8 Flash
LMArena Text: legal and government14791497Gemini 3.8 Flash
LMArena Text: business and finance14641479Gemini 3.8 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index24
Web design benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
Design Arena: websites13011301Tie
Design Arena: UI components12971318Gemini 3.8 Flash
Design Arena: game dev12631305Gemini 3.8 Flash
Design Arena: data viz12891269Gemini 3.6 Flash
Design Arena: 3D12721295Gemini 3.8 Flash
Design Arena: all code categories12901304Gemini 3.8 Flash
Design Arena: SVGNot measured1295Only Gemini 3.8 Flash measured
Design Arena: ASCII art12811264Gemini 3.6 Flash
LiveBench designNot measured72.7%Only Gemini 3.8 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index228
General benchmarks for Gemini 3.6 Flash and Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
Vals IndexNot measured56.0%Only Gemini 3.8 Flash measured
LiveBench data analysisNot measured54.0%Only Gemini 3.8 Flash measured
Public Benefits Bench (Vals AI)56.6%65.3%Gemini 3.8 Flash
SAGE (Vals AI)48.7%35.1%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%84.5%Gemini 3.8 Flash
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%84.0%Gemini 3.8 Flash
DTBench95.5%95.7%Gemini 3.8 Flash
LMCA44.9%52.9%Gemini 3.8 Flash
Surface Evolver BenchNot measured76.9%Only Gemini 3.8 Flash measured
Furniture assembly23.3%31.7%Gemini 3.8 Flash
LMArena Text14801499Gemini 3.8 Flash
LMArena Text: instruction following14671492Gemini 3.8 Flash
LMArena Text: creative writing14661488Gemini 3.8 Flash
LMArena Vision12991315Gemini 3.8 Flash
LMArena Text: English14821498Gemini 3.8 Flash
LMArena Text: non-English14701491Gemini 3.8 Flash
LMArena Text: Chinese15311553Gemini 3.8 Flash
LMArena Text: German14801501Gemini 3.8 Flash
LMArena Text: Japanese14751507Gemini 3.8 Flash
LMArena Text: Korean14291464Gemini 3.8 Flash
LMArena Text: French15031496Gemini 3.6 Flash
LMArena Text: Spanish14761487Gemini 3.8 Flash
LMArena Text: Russian14881514Gemini 3.8 Flash
LMArena Text: Polish14731497Gemini 3.8 Flash
LMArena Text: multi-turn14811503Gemini 3.8 Flash
LMArena Text: longer queries14751507Gemini 3.8 Flash
LMArena Text: writing and language14701494Gemini 3.8 Flash
LMArena Text: entertainment and media14561480Gemini 3.8 Flash
LMArena Vision: English12951318Gemini 3.8 Flash
LMArena Vision: Chinese13571416Gemini 3.8 Flash
LMArena Vision: reading text13121333Gemini 3.8 Flash
LMArena Vision: humor12891321Gemini 3.8 Flash
LMArena Vision: creative writing12781299Gemini 3.8 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 11 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 Gemini 3.8 Flash
BenchmarkGemini 3.6 FlashGemini 3.8 FlashLeader
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
Gemini 3.8 Flash$0.0029Fits 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
Gemini 3.8 Flash$0.054Fits 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
Gemini 3.8 Flash$0.206Fits 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 Gemini 3.8 Flash
SpecificationGoogle Gemini 3.6 FlashGoogle Gemini 3.8 Flash
MakerGoogleGoogle
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.825
Output $/Mtok$3.75$4.125
Coding index48.370.5
Independent measurements behind it12
Cost per solved task$1.49$2.74
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Gemini 3.8 Flash for coding?

Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash when output tokens cost 1.1x less, or when a solved task costs $1.49 against $2.74.

Which is cheaper, Gemini 3.6 Flash or Gemini 3.8 Flash?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Gemini 3.8 Flash costs $0.825 and $4.125. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Gemini 3.8 Flash $2.74.

Which has the bigger context window, Gemini 3.6 Flash or Gemini 3.8 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.6 Flash vs Gemini 3.8 Flash comparison based on?

102 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 1 independent benchmark and Gemini 3.8 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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