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Gemini 2.5 Pro vs Gemini 3.6 Flash

Gemini 3.6 Flash leads Gemini 2.5 Pro on coding, 62.5 to 19.1 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; 71 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Gemini 3.6 Flash
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
6
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
65
vs boards won of 71 shared

Gemini 2.5 Pro or Gemini 3.6 Flash: which to pick

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $1.49) and work measured by MortgageTax (Vals AI) or LMArena Text: medicine and healthcare, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task
Shared results
71
Gemini 2.5 Pro only
19
Gemini 3.6 Flash only
38
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 2.5 Pro 19.1 from 3 benchmarks, Gemini 3.6 Flash 62.5 from 4 benchmarks.
Widest category
Coding, 28.6 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against Gemini 3.6 Flash 64.0%, 63.6 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Gemini 3.6 Flash $3.75 per million output tokens, 2.7x 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 2.5 ProBarsGemini 3.6 FlashTies
Coding010
Intelligence02
Agentic work01
Reasoning010
Math05
Knowledge35
Web design06
General326
All shared boards665
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev12261538Gemini 3.6 Flash
AA Coding Index33.369.2Gemini 3.6 Flash
LiveCodeBench (Vals AI)Not measured88.1%Only Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)54.4%79.6%Gemini 3.6 Flash
Vibe Code Bench (Vals AI)0.4%64.0%Gemini 3.6 Flash
Code migration (Vals AI)Not measured30.9%Only Gemini 3.6 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.6 Flash measured
IOI (Vals AI)Not measured35.1%Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured73.8%Only Gemini 3.6 Flash measured
CyberBench (Vals AI)Not measured45.4%Only Gemini 3.6 Flash measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%53.4%Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierCodeNot measured34.4%Only Gemini 3.6 Flash measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%56.1%Gemini 3.6 Flash
ALE-BenchNot measured715.5Only Gemini 3.6 Flash measured
LMArena Text: coding14521491Gemini 3.6 Flash
LMArena Text: software and IT14591492Gemini 3.6 Flash
LMArena WebDev: ReactNot measured1528Only Gemini 3.6 Flash measured
LMArena WebDev: HTML12351547Gemini 3.6 Flash
LMArena WebDev: from an image12851545Gemini 3.6 Flash
SciCodeNot measured10.8%Only 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 index02
Intelligence benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
AA Intelligence Index16.134.0Gemini 3.6 Flash
Epoch Capabilities Index145.1154.5Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
AA Agentic Index1.629.0Gemini 3.6 Flash
Design Arena: agents building web appsNot measured1197Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack appsNot measured1181Only Gemini 3.6 Flash measured
Design Arena: agents building mobile appsNot measured1199Only Gemini 3.6 Flash measured
Design Arena: agents building Android appsNot measured1203Only Gemini 3.6 Flash measured
Design Arena: agents building gamesNot measured1181Only Gemini 3.6 Flash measured
Design Arena: HTML slidesNot measured1148Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slidesNot measured1146Only Gemini 3.6 Flash measured
Design Arena: spreadsheetsNot measured1034Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)Not measured56.3%Only Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)Not measured18.0%Only Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)Not measured25.0%Only Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured65.4%Only Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)Not measured58.5%Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Gemini 3.6 Flash measured
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
APEX-AgentsNot measured46.9%Only Gemini 3.6 Flash measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
Reasoning benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
GPQA DiamondNot measured93.4%Only Gemini 3.6 Flash measured
MMMU Pro (Vals AI)Not measured88.4%Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)84.4%92.8%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)22.5%40.8%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)85.3%94.1%Gemini 3.6 Flash
ARC-AGI41.0%91.2%Gemini 3.6 Flash
ARC-AGI-24.9%60.4%Gemini 3.6 Flash
Chess puzzlesNot measured42.0%Only Gemini 3.6 Flash measured
Mystery game puzzlesNot measured30.0%Only Gemini 3.6 Flash measured
LMArena Text: hard prompts14551486Gemini 3.6 Flash
LMArena Text: expert14521490Gemini 3.6 Flash
LMArena Text: hard prompts in English14531484Gemini 3.6 Flash
LMArena Vision: diagrams12741314Gemini 3.6 Flash
LMArena Vision: homework12811314Gemini 3.6 Flash
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%94.2%Gemini 3.6 Flash
FrontierMath, tiers 1 to 324.6%58.9%Gemini 3.6 Flash
FrontierMath, tier 40.0%22.0%Gemini 3.6 Flash
ProofBenchNot measured36.0%Only Gemini 3.6 Flash measured
LMArena Text: math14501508Gemini 3.6 Flash
LMArena Text: mathematical work14541492Gemini 3.6 Flash
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index35
Knowledge benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
MMLU ProNot measured89.3%Only Gemini 3.6 Flash measured
LegalBench (Vals AI)Not measured86.7%Only Gemini 3.6 Flash measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%63.3%Gemini 3.6 Flash
TaxEval (Vals AI)Not measured74.9%Only Gemini 3.6 Flash measured
MortgageTax (Vals AI)68.9%67.6%Gemini 2.5 Pro
MedCode (Vals AI)50.6%53.1%Gemini 3.6 Flash
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured66.2%Only Gemini 3.6 Flash measured
LMArena Text: science14801489Gemini 3.6 Flash
LMArena Text: medicine and healthcare14761469Gemini 2.5 Pro
LMArena Text: legal and government14801479Gemini 2.5 Pro
LMArena Text: business and finance14391464Gemini 3.6 Flash
FACTS Benchmark Suite61.5%65.3%Gemini 3.6 Flash
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
Design Arena: websites11671300Gemini 3.6 Flash
Design Arena: UI components11401297Gemini 3.6 Flash
Design Arena: game dev11111263Gemini 3.6 Flash
Design Arena: data viz12211289Gemini 3.6 Flash
Design Arena: 3D10811272Gemini 3.6 Flash
Design Arena: all code categories11521290Gemini 3.6 Flash
Design Arena: ASCII artNot measured1281Only 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 index326
General benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 FlashLeader
Public Benefits Bench (Vals AI)Not measured56.6%Only Gemini 3.6 Flash measured
SAGE (Vals AI)41.9%48.7%Gemini 3.6 Flash
MedScribe (Vals AI)73.5%79.7%Gemini 3.6 Flash
Vals Multimodal IndexNot measured65.1%Only Gemini 3.6 Flash measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%80.0%Gemini 3.6 Flash
DTBench82.4%95.5%Gemini 3.6 Flash
LMCA34.8%44.9%Gemini 3.6 Flash
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Furniture assemblyNot measured23.3%Only Gemini 3.6 Flash measured
LMArena Text14581480Gemini 3.6 Flash
LMArena Text: instruction following14371467Gemini 3.6 Flash
LMArena Text: creative writing14541466Gemini 3.6 Flash
LMArena Vision12631299Gemini 3.6 Flash
LMArena Text: English14581482Gemini 3.6 Flash
LMArena Text: non-English14521470Gemini 3.6 Flash
LMArena Text: Chinese15071531Gemini 3.6 Flash
LMArena Text: German14871480Gemini 2.5 Pro
LMArena Text: Japanese14611475Gemini 3.6 Flash
LMArena Text: Korean14341429Gemini 2.5 Pro
LMArena Text: French14731503Gemini 3.6 Flash
LMArena Text: Spanish14741476Gemini 3.6 Flash
LMArena Text: Russian14611488Gemini 3.6 Flash
LMArena Text: Polish14791473Gemini 2.5 Pro
LMArena Text: multi-turn14531481Gemini 3.6 Flash
LMArena Text: longer queries14491475Gemini 3.6 Flash
LMArena Text: writing and language14541470Gemini 3.6 Flash
LMArena Text: entertainment and media14411456Gemini 3.6 Flash
LMArena Vision: English12611295Gemini 3.6 Flash
LMArena Vision: Chinese13001357Gemini 3.6 Flash
LMArena Vision: reading text12701312Gemini 3.6 Flash
LMArena Vision: humor12621289Gemini 3.6 Flash
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651278Gemini 3.6 Flash
LMArena Document14211456Gemini 3.6 Flash
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and Gemini 3.6 Flash
BenchmarkGemini 2.5 ProGemini 3.6 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 2.5 Pro$0.0063Fits in one request
Gemini 3.6 Flash$0.0026Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Gemini 3.6 Flash$0.049Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Gemini 3.6 Flash$0.188Fits 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 2.5 Pro and Gemini 3.6 Flash
SpecificationGoogle Gemini 2.5 ProGoogle Gemini 3.6 Flash
MakerGoogleGoogle
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025July 21, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.75
Output $/Mtok$10.00$3.75
Coding index19.162.5
Independent measurements behind it34
Cost per solved task$0.64$1.49
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Gemini 3.6 Flash for coding?

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $1.49) and work measured by MortgageTax (Vals AI) or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Gemini 2.5 Pro or Gemini 3.6 Flash?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Gemini 3.6 Flash costs $0.75 and $3.75. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Gemini 3.6 Flash $1.49.

Which has the bigger context window, Gemini 2.5 Pro or Gemini 3.6 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro vs Gemini 3.6 Flash comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Gemini 3.6 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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