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Gemini 3.7 Flash vs GPT-6.1 Sol

GPT-6.1 Sol leads Gemini 3.7 Flash on coding, 82.4 to 58.0 on the Vibe Coding Index, and Gemini 3.7 Flash costs 2.7x less per output token ($3.75 vs $10.00 per million). Updated October 21, 2026; 88 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace GPT-6.1 Sol
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
40
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
48
vs boards won of 88 shared

Gemini 3.7 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 58.0 for Gemini 3.7 Flash, though on 5 benchmarks against 6.

Pick Gemini 3.7 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task
Shared results
88
Gemini 3.7 Flash only
26
GPT-6.1 Sol only
10
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 3.7 Flash 58.0 from 6 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category
Math, 22.5 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.7 Flash 36.6% against GPT-6.1 Sol 100.0%, 63.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against GPT-6.1 Sol $10.00 per million output tokens, 2.7x apart.
Context window
Gemini 3.7 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 3.7 FlashBarsGPT-6.1 SolTies
Coding512
Intelligence02
Agentic work58
Reasoning48
Math15
Knowledge52
Web design16
General195
All shared boards4048
CodingLike-for-likeSix of these boards feed the Vibe Coding Index512
Coding benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
LiveBench coding80.5%96.0%GPT-6.1 Sol
LMArena WebDev15911753GPT-6.1 Sol
AA Coding Index71.5Not measuredOnly Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%55.0%GPT-6.1 Sol
Vibe Code Bench (Vals AI)70.4%88.9%GPT-6.1 Sol
Code migration (Vals AI)34.8%65.1%GPT-6.1 Sol
ProgramBench (Vals AI)0.0%3.0%GPT-6.1 Sol
IOI (Vals AI)67.8%96.9%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)77.5%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Multimodal (Vals AI)Not measured43.5%Only GPT-6.1 Sol measured
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%39.3%Gemini 3.7 Flash
SciCode59.8%55.8%Gemini 3.7 Flash
FrontierCode43.6%50.2%GPT-6.1 Sol
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.32743.8GPT-6.1 Sol
LMArena Text: coding14991478Gemini 3.7 Flash
LMArena Text: software and IT14981476Gemini 3.7 Flash
LMArena WebDev: React15871754GPT-6.1 Sol
LMArena WebDev: HTML15931800GPT-6.1 Sol
LMArena WebDev: from an image15991702GPT-6.1 Sol
SciCode13.8%9.2%Gemini 3.7 Flash
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
AA Intelligence Index39.651.8GPT-6.1 Sol
Epoch Capabilities Index158.0168.4GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index58
Agentic work benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
Design Arena: agents building web apps12231306GPT-6.1 Sol
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps12301204Gemini 3.7 Flash
Design Arena: agents building Android apps1242Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: spreadsheets10531242GPT-6.1 Sol
LiveBench research76.5%83.5%GPT-6.1 Sol
LiveBench browser56.0%88.0%GPT-6.1 Sol
LiveBench long agentic28.3%73.0%GPT-6.1 Sol
SREBench (Vals AI)4.6%50.8%GPT-6.1 Sol
Finance Agent (Vals AI)59.0%52.0%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%21.8%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%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)71.3%70.8%Gemini 3.7 Flash
BioMysteryBench (Vals AI)Not measured79.6%Only GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)7.1%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-Agents67.8%60.0%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
SpireClimbNot measured24.7%Only GPT-6.1 Sol measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index48
Reasoning benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%92.6%GPT-6.1 Sol
MysteryMechanism (Vals AI)Not measured46.4%Only GPT-6.1 Sol measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%Not measuredOnly Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.9%52.9%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)94.8%95.4%GPT-6.1 Sol
ARC-AGI95.5%98.5%GPT-6.1 Sol
ARC-AGI-284.6%94.2%GPT-6.1 Sol
Chess puzzles66.0%68.0%GPT-6.1 Sol
Mystery game puzzles37.0%80.0%GPT-6.1 Sol
EBR-benchNot measured54.3%Only GPT-6.1 Sol measured
LMArena Text: hard prompts14951463Gemini 3.7 Flash
LMArena Text: expert15121489Gemini 3.7 Flash
LMArena Text: hard prompts in English14871465Gemini 3.7 Flash
LMArena Vision: diagrams13291306Gemini 3.7 Flash
LMArena Vision: homework13201356GPT-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 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
OTIS Mock AIME97.2%100.0%GPT-6.1 Sol
FrontierMath, tiers 1 to 371.6%93.7%GPT-6.1 Sol
FrontierMath, tier 436.6%100.0%GPT-6.1 Sol
ProofBench58.0%99.0%GPT-6.1 Sol
LMArena Text: math15111489Gemini 3.7 Flash
LMArena Text: mathematical work15021513GPT-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 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%48.8%Gemini 3.7 Flash
SimpleQA Verified69.2%73.9%GPT-6.1 Sol
LMArena Text: science15111444Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941433Gemini 3.7 Flash
LMArena Text: legal and government14961471Gemini 3.7 Flash
LMArena Text: business and finance14791445Gemini 3.7 Flash
FACTS Benchmark Suite71.2%75.3%GPT-6.1 Sol
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
Design Arena: websites13041321GPT-6.1 Sol
Design Arena: UI components12991330GPT-6.1 Sol
Design Arena: game dev13181389GPT-6.1 Sol
Design Arena: data viz13151280Gemini 3.7 Flash
Design Arena: 3D13081463GPT-6.1 Sol
Design Arena: all code categories13081346GPT-6.1 Sol
Design Arena: SVG1283Not measuredOnly Gemini 3.7 Flash measured
Design Arena: ASCII art1276Not measuredOnly Gemini 3.7 Flash measured
LiveBench design73.2%82.1%GPT-6.1 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index195
General benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 FlashGPT-6.1 SolLeader
Vals IndexNot measured63.9%Only GPT-6.1 Sol measured
LiveBench data analysis68.0%82.7%GPT-6.1 Sol
Public Benefits Bench (Vals AI)Not measured59.3%Only GPT-6.1 Sol measured
SAGE (Vals AI)49.2%46.5%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%86.5%GPT-6.1 Sol
Long context reasoning (AA-LCR)83.0%84.0%GPT-6.1 Sol
DTBench96.8%96.5%Gemini 3.7 Flash
LMCA50.4%62.8%GPT-6.1 Sol
Furniture assembly26.7%80.0%GPT-6.1 Sol
LMArena Text14891443Gemini 3.7 Flash
LMArena Text: instruction following14841466Gemini 3.7 Flash
LMArena Text: creative writing14881425Gemini 3.7 Flash
LMArena Vision13141288Gemini 3.7 Flash
LMArena Text: English14831450Gemini 3.7 Flash
LMArena Text: non-English14871433Gemini 3.7 Flash
LMArena Text: Chinese15521487Gemini 3.7 Flash
LMArena Text: German1506Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Japanese1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Korean1481Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: French15001460Gemini 3.7 Flash
LMArena Text: Spanish14951439Gemini 3.7 Flash
LMArena Text: Russian15151457Gemini 3.7 Flash
LMArena Text: Polish1503Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: multi-turn14851442Gemini 3.7 Flash
LMArena Text: longer queries14921458Gemini 3.7 Flash
LMArena Text: writing and language14911444Gemini 3.7 Flash
LMArena Text: entertainment and media14771426Gemini 3.7 Flash
LMArena Vision: English13091274Gemini 3.7 Flash
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text13221289Gemini 3.7 Flash
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing13121301Gemini 3.7 Flash
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and GPT-6.1 Sol
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
GPT-6.1 Sol$0.0070Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
GPT-6.1 Sol$0.130Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
GPT-6.1 Sol$0.500Fits in one request

Gemini 3.7 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 3.7 Flash and GPT-6.1 Sol
SpecificationGoogle Gemini 3.7 FlashOpenAI GPT-6.1 Sol
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026September 29, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$10.00
Coding index58.082.4
Independent measurements behind it65
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 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 58.0 for Gemini 3.7 Flash, though on 5 benchmarks against 6. Pick Gemini 3.7 Flash for output tokens 2.7x cheaper ($3.75 vs $10.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Which is cheaper, Gemini 3.7 Flash or GPT-6.1 Sol?

Gemini 3.7 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 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or GPT-6.1 Sol?

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

How many benchmarks is the Gemini 3.7 Flash vs GPT-6.1 Sol comparison based on?

88 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 6 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-3-7-flash-vs-gpt-6-1-sol">LLMBenchmark.ai, Gemini 3.7 Flash vs GPT-6.1 Sol</a></p>