Enter opens the highlighted result. Esc closes.

Gemini 3.5 Flash vs GPT-6 Sol

GPT-6 Sol leads Gemini 3.5 Flash on coding, 76.0 to 39.8 on the Vibe Coding Index, at about the same output price ($10.00 vs $9.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace GPT-6 Sol
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
42
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
43
vs boards won of 85 shared

Gemini 3.5 Flash or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash.

Pick Gemini 3.5 Flash for output tokens 1.1x cheaper ($9.00 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
85
Gemini 3.5 Flash only
27
GPT-6 Sol only
16
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 3.5 Flash 39.8 from 4 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 29.1 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.5 Flash 26.8% against GPT-6 Sol 90.0%, 63.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against GPT-6 Sol $10.00 per million output tokens, 1.1x apart.
Context window
Gemini 3.5 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 3.5 FlashBarsGPT-6 SolTies
Coding211
Intelligence02
Agentic work37
Reasoning57
Math24
Knowledge61
Web design17
General234
All shared boards4243
CodingLike-for-likeSix of these boards feed the Vibe Coding Index211
Coding benchmarks for Gemini 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
LiveBench codingNot measured93.1%Only GPT-6 Sol measured
LMArena WebDev14991683GPT-6 Sol
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%44.4%GPT-6 Sol
Vibe Code Bench (Vals AI)48.7%87.8%GPT-6 Sol
Code migration (Vals AI)26.8%57.2%GPT-6 Sol
ProgramBench (Vals AI)0.0%2.0%GPT-6 Sol
IOI (Vals AI)Not measured82.6%Only GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)74.2%83.2%GPT-6 Sol
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
CyberBench (Vals AI)Not measured78.0%Only GPT-6 Sol measured
SciCode53.9%57.6%GPT-6 Sol
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
FrontierCodeNot measured49.3%Only GPT-6 Sol measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.02462.0GPT-6 Sol
LMArena Text: coding14931448Gemini 3.5 Flash
LMArena Text: software and IT14941433Gemini 3.5 Flash
LMArena WebDev: React14951685GPT-6 Sol
LMArena WebDev: HTML15221685GPT-6 Sol
LMArena WebDev: from an image15041660GPT-6 Sol
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
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 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
AA Intelligence Index33.647.6GPT-6 Sol
Epoch Capabilities Index154.9163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index37
Agentic work benchmarks for Gemini 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
Design Arena: agents building web apps12021231GPT-6 Sol
Design Arena: agents building full-stack apps11971238GPT-6 Sol
Design Arena: agents building mobile apps11741217GPT-6 Sol
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
LiveBench researchNot measured69.3%Only GPT-6 Sol measured
LiveBench browserNot measured92.0%Only GPT-6 Sol measured
LiveBench long agenticNot measured66.9%Only GPT-6 Sol measured
SREBench (Vals AI)Not measured30.5%Only GPT-6 Sol measured
Finance Agent (Vals AI)57.9%49.0%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%15.0%Gemini 3.5 Flash
Legal Research Bench (Vals AI)30.8%28.9%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)63.5%71.5%GPT-6 Sol
BioMysteryBench (Vals AI)Not measured74.8%Only GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)5.7%30.0%GPT-6 Sol
Vals Science IndexNot measured45.0%Only GPT-6 Sol measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%54.3%GPT-6 Sol
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$5,396$14,428GPT-6 Sol
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for Gemini 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
LiveBench reasoningNot measured88.7%Only GPT-6 Sol measured
MysteryMechanism (Vals AI)Not measured30.2%Only GPT-6 Sol measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)92.8%94.3%GPT-6 Sol
ARC-AGI92.5%95.5%GPT-6 Sol
ARC-AGI-272.1%89.6%GPT-6 Sol
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%56.0%GPT-6 Sol
Mystery game puzzles32.0%56.0%GPT-6 Sol
EBR-bench4.8%53.3%GPT-6 Sol
LMArena Text: hard prompts14881422Gemini 3.5 Flash
LMArena Text: expert14951437Gemini 3.5 Flash
LMArena Text: hard prompts in English14831420Gemini 3.5 Flash
LMArena Vision: diagrams13231270Gemini 3.5 Flash
LMArena Vision: homework13301286Gemini 3.5 Flash
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 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
OTIS Mock AIME95.6%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 362.8%89.8%GPT-6 Sol
FrontierMath, tier 426.8%90.0%GPT-6 Sol
ProofBench31.0%83.0%GPT-6 Sol
LMArena Text: math15041407Gemini 3.5 Flash
LMArena Text: mathematical work14951424Gemini 3.5 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 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%47.1%Gemini 3.5 Flash
SimpleQA Verified66.2%60.7%Gemini 3.5 Flash
LMArena Text: science14951389Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831366Gemini 3.5 Flash
LMArena Text: legal and government14881396Gemini 3.5 Flash
LMArena Text: business and finance14671380Gemini 3.5 Flash
FACTS Benchmark Suite63.1%72.5%GPT-6 Sol
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Gemini 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
Design Arena: websites12671292GPT-6 Sol
Design Arena: UI components12691290GPT-6 Sol
Design Arena: game dev12631311GPT-6 Sol
Design Arena: data viz12361269GPT-6 Sol
Design Arena: 3D12431314GPT-6 Sol
Design Arena: all code categories12661300GPT-6 Sol
Design Arena: SVG12531315GPT-6 Sol
Design Arena: ASCII art12541222Gemini 3.5 Flash
LiveBench designNot measured82.2%Only GPT-6 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index234
General benchmarks for Gemini 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 FlashGPT-6 SolLeader
LiveBench data analysisNot measured81.2%Only GPT-6 Sol measured
Public Benefits Bench (Vals AI)59.5%56.6%Gemini 3.5 Flash
SAGE (Vals AI)49.9%44.8%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%82.0%GPT-6 Sol
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%83.7%GPT-6 Sol
DTBench94.7%97.3%GPT-6 Sol
LMCA47.1%59.1%GPT-6 Sol
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
Furniture assemblyNot measured58.3%Only GPT-6 Sol measured
LMArena Text14821398Gemini 3.5 Flash
LMArena Text: instruction following14671413Gemini 3.5 Flash
LMArena Text: creative writing14701378Gemini 3.5 Flash
LMArena Vision13081240Gemini 3.5 Flash
LMArena Text: English14811396Gemini 3.5 Flash
LMArena Text: non-English14751388Gemini 3.5 Flash
LMArena Text: Chinese15271412Gemini 3.5 Flash
LMArena Text: German14941379Gemini 3.5 Flash
LMArena Text: Japanese14861377Gemini 3.5 Flash
LMArena Text: Korean14481336Gemini 3.5 Flash
LMArena Text: French14901399Gemini 3.5 Flash
LMArena Text: Spanish14801387Gemini 3.5 Flash
LMArena Text: Russian14931402Gemini 3.5 Flash
LMArena Text: Polish15161372Gemini 3.5 Flash
LMArena Text: multi-turn14811414Gemini 3.5 Flash
LMArena Text: longer queries14831416Gemini 3.5 Flash
LMArena Text: writing and language14781389Gemini 3.5 Flash
LMArena Text: entertainment and media14591373Gemini 3.5 Flash
LMArena Vision: English13051229Gemini 3.5 Flash
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text13171258Gemini 3.5 Flash
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing13011219Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 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 3.5 Flash and GPT-6 Sol
BenchmarkGemini 3.5 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 3.5 Flash$0.0060Fits in one request
GPT-6 Sol$0.0070Fits in one request

Gemini 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
GPT-6 Sol$0.130Fits in one request

Gemini 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
GPT-6 Sol$0.500Fits in one request

Gemini 3.5 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 3.5 Flash and GPT-6 Sol
SpecificationGoogle Gemini 3.5 FlashOpenAI GPT-6 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$2.00
Output $/Mtok$9.00$10.00
Coding index39.876.0
Independent measurements behind it45
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash for output tokens 1.1x cheaper ($9.00 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 3.5 Flash or GPT-6 Sol?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; GPT-6 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or GPT-6 Sol?

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

How many benchmarks is the Gemini 3.5 Flash vs GPT-6 Sol comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-5-flash-vs-gpt-6-sol" title="Gemini 3.5 Flash vs GPT-6 Sol, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-5-flash-vs-gpt-6-sol">LLMBenchmark.ai, Gemini 3.5 Flash vs GPT-6 Sol</a></p>