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Gemini 3.8 Flash vs GPT-6.1 Sol

Updated October 21, 2026. 92 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.8 Flash Replace GPT-6.1 Sol
Gemini 3.8 FlashGoogle
Coding
70.5
Overall
40.9
Output $/M
$4.125
38
GPT-6.1 SolOpenAI
Coding
88.7
Overall
51.8
Output $/M
$10.00
51
vs boards won of 92 shared, 3 tied

Decision reading

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash.

Pick Gemini 3.8 Flash when output tokens cost 2.4x less, or when what matters is CyberBench (Vals AI) or SciCode, where it leads.

Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved taskModel BGPT-6.1 SolOpenAI88.7/1002 independent benchmarksNo cost per solved task
Shared results
92
Gemini 3.8 Flash only
34
GPT-6.1 Sol only
3
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 3.8 Flash 70.5 from 2 benchmarks, GPT-6.1 Sol 88.7 from 2 benchmarks.
Widest category
Math, 27.2 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.8 Flash 22.0% against GPT-6.1 Sol 100.0%, 78.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $4.125 against GPT-6.1 Sol $10.00 per million output tokens, 2.4x apart.
Context window
Gemini 3.8 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 3.8 FlashBarsGPT-6.1 SolTies
Coding413
Intelligence02
Agentic work78
Reasoning472 ties
Math24
Knowledge42
Web design07
General1781 tie
All shared boards38513 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index413
Coding benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
LiveBench coding82.2%96.0%GPT-6.1 Sol
LMArena WebDev15851753GPT-6.1 Sol
AA Coding Index76.3Not measuredOnly Gemini 3.8 Flash measured
LiveCodeBench (Vals AI)89.5%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Verified (Vals AI)80.0%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 4 (Vals AI)19.7%55.0%GPT-6.1 Sol
Vibe Code Bench (Vals AI)78.7%88.9%GPT-6.1 Sol
Code migration (Vals AI)36.5%65.1%GPT-6.1 Sol
ProgramBench (Vals AI)1.0%3.0%GPT-6.1 Sol
IOI (Vals AI)56.9%96.9%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)81.3%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Multimodal (Vals AI)40.8%43.5%GPT-6.1 Sol
Vibe Code Bench 1-100 (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
SkillsBench (Vals AI)58.0%Not measuredOnly Gemini 3.8 Flash measured
CyberBench (Vals AI)43.8%39.3%Gemini 3.8 Flash
SciCode56.6%55.8%Gemini 3.8 Flash
FrontierCode41.2%50.2%GPT-6.1 Sol
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.72743.8GPT-6.1 Sol
LMArena Text: coding15081478Gemini 3.8 Flash
LMArena Text: software and IT15071476Gemini 3.8 Flash
LMArena WebDev: React15771754GPT-6.1 Sol
LMArena WebDev: HTML16161800GPT-6.1 Sol
LMArena WebDev: from an image15931702GPT-6.1 Sol
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 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
AA Intelligence Index40.951.8GPT-6.1 Sol
Epoch Capabilities Index157.4168.4GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index78
Agentic work benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
AA Agentic Index40.2Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building web apps1238Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building full-stack apps1244Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building mobile apps12361190Gemini 3.8 Flash
Design Arena: agents building Android apps1078Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games1273Not measuredOnly Gemini 3.8 Flash measured
Design Arena: PowerPoint slides1178Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets10521250GPT-6.1 Sol
LiveBench research79.1%83.5%GPT-6.1 Sol
LiveBench browser64.0%88.0%GPT-6.1 Sol
LiveBench long agentic30.1%73.0%GPT-6.1 Sol
SREBench (Vals AI)11.1%50.8%GPT-6.1 Sol
Finance Agent (Vals AI)61.4%52.0%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%21.8%Gemini 3.8 Flash
Legal Research Bench (Vals AI)38.9%38.5%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)12.1%6.3%Gemini 3.8 Flash
Excel Modeling Benchmark (Vals AI)72.2%70.8%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%79.6%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)8.6%52.9%GPT-6.1 Sol
Vals Science Index35.8%59.6%GPT-6.1 Sol
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
Robo-bench (Vals AI)Not measured28.3%Only GPT-6.1 Sol measured
APEX-Agents64.3%60.0%Gemini 3.8 Flash
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
SpireClimbNot measured24.7%Only GPT-6.1 Sol measured
Vending-Bench 2$5,094Not measuredOnly 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 index47
Reasoning benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
GPQA Diamond94.4%Not measuredOnly Gemini 3.8 Flash measured
LiveBench reasoning89.3%92.6%GPT-6.1 Sol
MysteryMechanism (Vals AI)36.5%46.4%GPT-6.1 Sol
MMMU Pro (Vals AI)89.1%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)95.3%Not measuredOnly Gemini 3.8 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.8%52.9%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%95.4%Tie
ARC-AGI98.5%98.5%Tie
ARC-AGI-289.2%94.2%GPT-6.1 Sol
Chess puzzles58.0%68.0%GPT-6.1 Sol
Mystery game puzzles47.0%80.0%GPT-6.1 Sol
EBR-benchNot measured54.3%Only GPT-6.1 Sol measured
LMArena Text: hard prompts15091463Gemini 3.8 Flash
LMArena Text: expert15261489Gemini 3.8 Flash
LMArena Text: hard prompts in English15041465Gemini 3.8 Flash
LMArena Vision: diagrams13451306Gemini 3.8 Flash
LMArena Vision: homework13511356GPT-6.1 Sol
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 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
OTIS Mock AIME98.9%100.0%GPT-6.1 Sol
FrontierMath, tiers 1 to 368.4%93.7%GPT-6.1 Sol
FrontierMath, tier 422.0%100.0%GPT-6.1 Sol
ProofBench48.0%99.0%GPT-6.1 Sol
LMArena Text: math15321489Gemini 3.8 Flash
LMArena Text: mathematical work15191513Gemini 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 index42
Knowledge benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
MMLU Pro90.2%Not measuredOnly Gemini 3.8 Flash measured
LegalBench (Vals AI)87.0%Not measuredOnly Gemini 3.8 Flash measured
TaxEval (Vals AI)74.5%Not measuredOnly Gemini 3.8 Flash measured
MortgageTax (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
MedCode (Vals AI)48.1%48.8%GPT-6.1 Sol
SimpleQA Verified69.7%73.9%GPT-6.1 Sol
LMArena Text: science15231444Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081433Gemini 3.8 Flash
LMArena Text: legal and government14971471Gemini 3.8 Flash
LMArena Text: business and finance14791445Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
Design Arena: websites13011321GPT-6.1 Sol
Design Arena: UI components13181321GPT-6.1 Sol
Design Arena: game dev13051389GPT-6.1 Sol
Design Arena: data viz12691278GPT-6.1 Sol
Design Arena: 3D12951461GPT-6.1 Sol
Design Arena: all code categories13041345GPT-6.1 Sol
Design Arena: SVG1295Not measuredOnly Gemini 3.8 Flash measured
Design Arena: ASCII art1264Not measuredOnly Gemini 3.8 Flash measured
LiveBench design72.7%82.1%GPT-6.1 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index178
General benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 FlashGPT-6.1 SolLeader
Vals Index56.0%63.9%GPT-6.1 Sol
LiveBench data analysis54.0%82.7%GPT-6.1 Sol
Public Benefits Bench (Vals AI)65.3%59.3%Gemini 3.8 Flash
SAGE (Vals AI)35.1%46.5%GPT-6.1 Sol
MedScribe (Vals AI)84.5%86.5%GPT-6.1 Sol
Long context reasoning (AA-LCR)84.0%84.0%Tie
DTBench95.7%96.5%GPT-6.1 Sol
LMCA52.9%62.8%GPT-6.1 Sol
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%80.0%GPT-6.1 Sol
LMArena Text14991443Gemini 3.8 Flash
LMArena Text: instruction following14921466Gemini 3.8 Flash
LMArena Text: creative writing14881425Gemini 3.8 Flash
LMArena Vision13151288Gemini 3.8 Flash
LMArena Text: English14981450Gemini 3.8 Flash
LMArena Text: non-English14911433Gemini 3.8 Flash
LMArena Text: Chinese15531487Gemini 3.8 Flash
LMArena Text: German1501Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Japanese1507Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Korean1464Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: French14961460Gemini 3.8 Flash
LMArena Text: Spanish14871439Gemini 3.8 Flash
LMArena Text: Russian15141457Gemini 3.8 Flash
LMArena Text: Polish1497Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: multi-turn15031442Gemini 3.8 Flash
LMArena Text: longer queries15071458Gemini 3.8 Flash
LMArena Text: writing and language14941444Gemini 3.8 Flash
LMArena Text: entertainment and media14801426Gemini 3.8 Flash
LMArena Vision: English13181274Gemini 3.8 Flash
LMArena Vision: Chinese1416Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: reading text13331289Gemini 3.8 Flash
LMArena Vision: humor1321Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: creative writing12991301GPT-6.1 Sol
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.8 Flash and GPT-6.1 Sol
BenchmarkGemini 3.8 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 3.8 Flash$0.0029Fits in one request
GPT-6.1 Sol$0.0070Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.054Fits in one request
GPT-6.1 Sol$0.130Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.206Fits in one request
GPT-6.1 Sol$0.500Fits in one request

Gemini 3.8 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 3.8 Flash and GPT-6.1 Sol
SpecificationGoogle Gemini 3.8 FlashOpenAI GPT-6.1 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026September 29, 2026
Context window1.05M1.05M
Input $/Mtok$0.825$2.00
Output $/Mtok$4.125$10.00
Coding index70.588.7
Independent measurements behind it22
Cost per solved task$2.74Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash. Pick Gemini 3.8 Flash when output tokens cost 2.4x less, or when what matters is CyberBench (Vals AI) or SciCode, where it leads.

Which is cheaper, Gemini 3.8 Flash or GPT-6.1 Sol?

Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.8 Flash only.

Which has the bigger context window, Gemini 3.8 Flash or GPT-6.1 Sol?

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

How many benchmarks is the Gemini 3.8 Flash vs GPT-6.1 Sol comparison based on?

92 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 2 independent benchmarks and GPT-6.1 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.

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