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Gemini 3.8 Flash vs GPT-6 Sol

GPT-6 Sol leads Gemini 3.8 Flash on coding, 76.0 to 61.6 on the Vibe Coding Index, and Gemini 3.8 Flash costs 2.7x less per output token ($3.75 vs $10.00 per million). Updated October 22, 2026; 99 benchmarks have a result for both.

Replace Gemini 3.8 Flash Replace GPT-6 Sol
Gemini 3.8 FlashGoogle
Coding
61.6
Overall
69.0
Output $/M
$3.75
58
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
41
vs boards won of 99 shared

Gemini 3.8 Flash or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 61.6 for Gemini 3.8 Flash, though on 5 benchmarks against 6.

Pick Gemini 3.8 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
99
Gemini 3.8 Flash only
29
GPT-6 Sol only
2
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 3.8 Flash 61.6 from 6 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 27.0 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.8 Flash 22.0% against GPT-6 Sol 90.0%, 68.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $3.75 against GPT-6 Sol $10.00 per million output tokens, 2.7x apart.
Context window
Gemini 3.8 Flash takes 1.05M tokens, GPT-6 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 SolTies
Coding215
Intelligence02
Agentic work97
Reasoning103
Math24
Knowledge61
Web design54
General245
All shared boards5841
CodingLike-for-likeSix of these boards feed the Vibe Coding Index215
Coding benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
LiveBench coding82.2%93.1%GPT-6 Sol
LMArena WebDev15851683GPT-6 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%44.4%GPT-6 Sol
Vibe Code Bench (Vals AI)78.7%87.8%GPT-6 Sol
Code migration (Vals AI)36.5%57.2%GPT-6 Sol
ProgramBench (Vals AI)1.0%2.0%GPT-6 Sol
IOI (Vals AI)56.9%82.6%GPT-6 Sol
Terminal-Bench 2.1 (Vals AI)81.3%83.2%GPT-6 Sol
SWE-bench Multimodal (Vals AI)40.8%Not measuredOnly Gemini 3.8 Flash measured
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%78.0%GPT-6 Sol
SciCode56.6%57.6%GPT-6 Sol
FrontierCode41.2%49.3%GPT-6 Sol
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.72462.0GPT-6 Sol
LMArena Text: coding15081448Gemini 3.8 Flash
LMArena Text: software and IT15071433Gemini 3.8 Flash
LMArena WebDev: React15771685GPT-6 Sol
LMArena WebDev: HTML16161685GPT-6 Sol
LMArena WebDev: from an image15931660GPT-6 Sol
SciCode12.3%Not measuredOnly Gemini 3.8 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 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
AA Intelligence Index40.947.6GPT-6 Sol
Epoch Capabilities Index157.4163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index97
Agentic work benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
AA Agentic Index40.2Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building web apps12381231Gemini 3.8 Flash
Design Arena: agents building full-stack apps12441238Gemini 3.8 Flash
Design Arena: agents building mobile apps12361217Gemini 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 slides1153Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets1022Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%69.3%Gemini 3.8 Flash
LiveBench browser64.0%92.0%GPT-6 Sol
LiveBench long agentic30.1%66.9%GPT-6 Sol
SREBench (Vals AI)11.1%30.5%GPT-6 Sol
Finance Agent (Vals AI)61.4%49.0%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%15.0%Gemini 3.8 Flash
Legal Research Bench (Vals AI)38.9%28.9%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)12.1%Not measuredOnly Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)72.2%71.5%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%74.8%GPT-6 Sol
Terminal-Bench-Science (Vals AI)8.6%30.0%GPT-6 Sol
Vals Science Index35.8%45.0%GPT-6 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
APEX-Agents64.3%54.3%Gemini 3.8 Flash
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$5,094$14,428GPT-6 Sol
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index103
Reasoning benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
GPQA Diamond94.4%Not measuredOnly Gemini 3.8 Flash measured
LiveBench reasoning89.3%88.7%Gemini 3.8 Flash
MysteryMechanism (Vals AI)36.5%30.2%Gemini 3.8 Flash
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%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)95.4%94.3%Gemini 3.8 Flash
ARC-AGI98.5%95.5%Gemini 3.8 Flash
ARC-AGI-289.2%89.6%GPT-6 Sol
Chess puzzles58.0%56.0%Gemini 3.8 Flash
Mystery game puzzles47.0%56.0%GPT-6 Sol
EBR-benchNot measured53.3%Only GPT-6 Sol measured
LMArena Text: hard prompts15091422Gemini 3.8 Flash
LMArena Text: expert15261437Gemini 3.8 Flash
LMArena Text: hard prompts in English15041420Gemini 3.8 Flash
LMArena Vision: diagrams13451270Gemini 3.8 Flash
LMArena Vision: homework13511286Gemini 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 index24
Math benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
OTIS Mock AIME98.9%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 368.4%89.8%GPT-6 Sol
FrontierMath, tier 422.0%90.0%GPT-6 Sol
ProofBench48.0%83.0%GPT-6 Sol
LMArena Text: math15321407Gemini 3.8 Flash
LMArena Text: mathematical work15191424Gemini 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 index61
Knowledge benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 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%47.1%Gemini 3.8 Flash
SimpleQA Verified69.7%60.7%Gemini 3.8 Flash
LMArena Text: science15231389Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081366Gemini 3.8 Flash
LMArena Text: legal and government14971396Gemini 3.8 Flash
LMArena Text: business and finance14791380Gemini 3.8 Flash
FACTS Benchmark Suite69.4%72.5%GPT-6 Sol
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index54
Web design benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
Design Arena: websites13001292Gemini 3.8 Flash
Design Arena: UI components13161290Gemini 3.8 Flash
Design Arena: game dev13041311GPT-6 Sol
Design Arena: data viz12701269Gemini 3.8 Flash
Design Arena: 3D12941314GPT-6 Sol
Design Arena: all code categories13031300Gemini 3.8 Flash
Design Arena: SVG12961315GPT-6 Sol
Design Arena: ASCII art12621222Gemini 3.8 Flash
LiveBench design72.7%82.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index245
General benchmarks for Gemini 3.8 Flash and GPT-6 Sol
BenchmarkGemini 3.8 FlashGPT-6 SolLeader
Vals Index56.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench data analysis54.0%81.2%GPT-6 Sol
Public Benefits Bench (Vals AI)65.3%56.6%Gemini 3.8 Flash
SAGE (Vals AI)35.1%44.8%GPT-6 Sol
MedScribe (Vals AI)84.5%82.0%Gemini 3.8 Flash
Long context reasoning (AA-LCR)84.0%83.7%Gemini 3.8 Flash
DTBench95.7%97.3%GPT-6 Sol
LMCA52.9%59.1%GPT-6 Sol
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%58.3%GPT-6 Sol
LMArena Text14991398Gemini 3.8 Flash
LMArena Text: instruction following14921413Gemini 3.8 Flash
LMArena Text: creative writing14881378Gemini 3.8 Flash
LMArena Vision13151240Gemini 3.8 Flash
LMArena Text: English14981396Gemini 3.8 Flash
LMArena Text: non-English14911388Gemini 3.8 Flash
LMArena Text: Chinese15531412Gemini 3.8 Flash
LMArena Text: German15011379Gemini 3.8 Flash
LMArena Text: Japanese15071377Gemini 3.8 Flash
LMArena Text: Korean14641336Gemini 3.8 Flash
LMArena Text: French14961399Gemini 3.8 Flash
LMArena Text: Spanish14871387Gemini 3.8 Flash
LMArena Text: Russian15141402Gemini 3.8 Flash
LMArena Text: Polish14971372Gemini 3.8 Flash
LMArena Text: multi-turn15031414Gemini 3.8 Flash
LMArena Text: longer queries15071416Gemini 3.8 Flash
LMArena Text: writing and language14941389Gemini 3.8 Flash
LMArena Text: entertainment and media14801373Gemini 3.8 Flash
LMArena Vision: English13181229Gemini 3.8 Flash
LMArena Vision: Chinese1416Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: reading text13331258Gemini 3.8 Flash
LMArena Vision: humor1321Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: creative writing12991219Gemini 3.8 Flash
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 Sol
BenchmarkGemini 3.8 FlashGPT-6 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$0.0026Fits in one request
GPT-6 Sol$0.0070Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.049Fits in one request
GPT-6 Sol$0.130Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits in one request
GPT-6 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 Sol
SpecificationGoogle Gemini 3.8 FlashOpenAI GPT-6 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$10.00
Coding index61.676.0
Independent measurements behind it65
Cost per solved task$2.74Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 61.6 for Gemini 3.8 Flash, though on 5 benchmarks against 6. Pick Gemini 3.8 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemini 3.8 Flash or GPT-6 Sol?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-6 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 Sol?

GPT-6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.8 Flash vs GPT-6 Sol comparison based on?

99 benchmarks have a result for both models as of October 22, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and GPT-6 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-3-8-flash-vs-gpt-6-sol">LLMBenchmark.ai, Gemini 3.8 Flash vs GPT-6 Sol</a></p>