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Gemini 3.6 Flash vs GPT-6.1 Sol

GPT-6.1 Sol leads Gemini 3.6 Flash on coding, 82.4 to 62.5 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; 81 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-6.1 Sol
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
33
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
48
vs boards won of 81 shared

Gemini 3.6 Flash or GPT-6.1 Sol: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: coding, where it leads.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task
Shared results
81
Gemini 3.6 Flash only
28
GPT-6.1 Sol only
17
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-6.1 Sol 82.4 from 5 benchmarks.
Widest category
Math, 31.4 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.6 Flash 22.0% against GPT-6.1 Sol 100.0%, 78.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-6.1 Sol $10.00 per million output tokens, 2.7x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, GPT-6.1 Sol 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-6.1 SolTies
Coding411
Intelligence02
Agentic work19
Reasoning47
Math15
Knowledge52
Web design15
General177
All shared boards3348
CodingLike-for-likeSix of these boards feed the Vibe Coding Index411
Coding benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
LiveBench codingNot measured96.0%Only GPT-6.1 Sol measured
LMArena WebDev15381753GPT-6.1 Sol
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 4 (Vals AI)Not measured55.0%Only GPT-6.1 Sol measured
Vibe Code Bench (Vals AI)64.0%88.9%GPT-6.1 Sol
Code migration (Vals AI)30.9%65.1%GPT-6.1 Sol
ProgramBench (Vals AI)0.0%3.0%GPT-6.1 Sol
IOI (Vals AI)35.1%96.9%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Multimodal (Vals AI)Not measured43.5%Only GPT-6.1 Sol measured
CyberBench (Vals AI)45.4%39.3%Gemini 3.6 Flash
SciCode53.4%55.8%GPT-6.1 Sol
FrontierCode34.4%50.2%GPT-6.1 Sol
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.52743.8GPT-6.1 Sol
LMArena Text: coding14911478Gemini 3.6 Flash
LMArena Text: software and IT14921476Gemini 3.6 Flash
LMArena WebDev: React15281754GPT-6.1 Sol
LMArena WebDev: HTML15471800GPT-6.1 Sol
LMArena WebDev: from an image15451702GPT-6.1 Sol
SciCode10.8%9.2%Gemini 3.6 Flash
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
AA Intelligence Index34.051.8GPT-6.1 Sol
Epoch Capabilities Index154.5168.4GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index19
Agentic work benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps11971306GPT-6.1 Sol
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps11981213GPT-6.1 Sol
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: spreadsheets10711259GPT-6.1 Sol
LiveBench researchNot measured83.5%Only GPT-6.1 Sol measured
LiveBench browserNot measured88.0%Only GPT-6.1 Sol measured
LiveBench long agenticNot measured73.0%Only GPT-6.1 Sol measured
SREBench (Vals AI)Not measured50.8%Only GPT-6.1 Sol measured
Finance Agent (Vals AI)56.3%52.0%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%21.8%GPT-6.1 Sol
Legal Research Bench (Vals AI)25.0%38.5%GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)Not measured6.3%Only GPT-6.1 Sol measured
Excel Modeling Benchmark (Vals AI)65.4%70.8%GPT-6.1 Sol
BioMysteryBench (Vals AI)58.5%79.6%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)4.3%52.9%GPT-6.1 Sol
Vals Science IndexNot measured59.6%Only GPT-6.1 Sol measured
Robo-bench (Vals AI)Not measured28.3%Only GPT-6.1 Sol measured
APEX-Agents46.9%60.0%GPT-6.1 Sol
SpireClimbNot measured24.7%Only GPT-6.1 Sol measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index47
Reasoning benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
LiveBench reasoningNot measured92.6%Only GPT-6.1 Sol measured
MysteryMechanism (Vals AI)Not measured46.4%Only GPT-6.1 Sol measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%Not measuredOnly Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)40.8%52.9%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)94.1%95.4%GPT-6.1 Sol
ARC-AGI91.2%98.5%GPT-6.1 Sol
ARC-AGI-260.4%94.2%GPT-6.1 Sol
Chess puzzles42.0%68.0%GPT-6.1 Sol
Mystery game puzzles30.0%80.0%GPT-6.1 Sol
EBR-benchNot measured54.3%Only GPT-6.1 Sol measured
LMArena Text: hard prompts14861463Gemini 3.6 Flash
LMArena Text: expert14901489Gemini 3.6 Flash
LMArena Text: hard prompts in English14841465Gemini 3.6 Flash
LMArena Vision: diagrams13141306Gemini 3.6 Flash
LMArena Vision: homework13141356GPT-6.1 Sol
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
OTIS Mock AIME94.2%100.0%GPT-6.1 Sol
FrontierMath, tiers 1 to 358.9%93.7%GPT-6.1 Sol
FrontierMath, tier 422.0%100.0%GPT-6.1 Sol
ProofBench36.0%99.0%GPT-6.1 Sol
LMArena Text: math15081489Gemini 3.6 Flash
LMArena Text: mathematical work14921513GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%48.8%Gemini 3.6 Flash
SimpleQA Verified66.2%73.9%GPT-6.1 Sol
LMArena Text: science14891444Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691433Gemini 3.6 Flash
LMArena Text: legal and government14791471Gemini 3.6 Flash
LMArena Text: business and finance14641445Gemini 3.6 Flash
FACTS Benchmark Suite65.3%75.3%GPT-6.1 Sol
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index15
Web design benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
Design Arena: websites13001321GPT-6.1 Sol
Design Arena: UI components12941317GPT-6.1 Sol
Design Arena: game dev12631389GPT-6.1 Sol
Design Arena: data viz12891281Gemini 3.6 Flash
Design Arena: 3D12711460GPT-6.1 Sol
Design Arena: all code categories12891345GPT-6.1 Sol
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
LiveBench designNot measured82.1%Only GPT-6.1 Sol measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index177
General benchmarks for Gemini 3.6 Flash and GPT-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
Vals IndexNot measured63.9%Only GPT-6.1 Sol measured
LiveBench data analysisNot measured82.7%Only GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)56.6%59.3%GPT-6.1 Sol
SAGE (Vals AI)48.7%46.5%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%86.5%GPT-6.1 Sol
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%84.0%GPT-6.1 Sol
DTBench95.5%96.5%GPT-6.1 Sol
LMCA44.9%62.8%GPT-6.1 Sol
Furniture assembly23.3%80.0%GPT-6.1 Sol
LMArena Text14801443Gemini 3.6 Flash
LMArena Text: instruction following14671466Gemini 3.6 Flash
LMArena Text: creative writing14661425Gemini 3.6 Flash
LMArena Vision12991288Gemini 3.6 Flash
LMArena Text: English14821450Gemini 3.6 Flash
LMArena Text: non-English14701433Gemini 3.6 Flash
LMArena Text: Chinese15311487Gemini 3.6 Flash
LMArena Text: German1480Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Japanese1475Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Korean1429Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: French15031460Gemini 3.6 Flash
LMArena Text: Spanish14761439Gemini 3.6 Flash
LMArena Text: Russian14881457Gemini 3.6 Flash
LMArena Text: Polish1473Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: multi-turn14811442Gemini 3.6 Flash
LMArena Text: longer queries14751458Gemini 3.6 Flash
LMArena Text: writing and language14701444Gemini 3.6 Flash
LMArena Text: entertainment and media14561426Gemini 3.6 Flash
LMArena Vision: English12951274Gemini 3.6 Flash
LMArena Vision: Chinese1357Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: reading text13121289Gemini 3.6 Flash
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing12781301GPT-6.1 Sol
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 12 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-6.1 Sol
BenchmarkGemini 3.6 FlashGPT-6.1 SolLeader
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-6.1 Sol$0.0070Fits 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-6.1 Sol$0.130Fits 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-6.1 Sol$0.500Fits 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-6.1 Sol
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-6.1 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026September 29, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$10.00
Coding index62.582.4
Independent measurements behind it45
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: coding, where it leads.

Which is cheaper, Gemini 3.6 Flash or GPT-6.1 Sol?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or GPT-6.1 Sol?

GPT-6.1 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.6 Flash vs GPT-6.1 Sol comparison based on?

81 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-6.1 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<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-6-1-sol">LLMBenchmark.ai, Gemini 3.6 Flash vs GPT-6.1 Sol</a></p>