Gemini 3.5 Flash Lite vs GPT-6.1 Sol

GPT-6.1 Sol leads Gemini 3.5 Flash Lite on coding, 82.4 to 49.0 on the Vibe Coding Index, and Gemini 3.5 Flash Lite costs 4.0x less per output token ($2.50 vs $10.00 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace Gemini 3.5 Flash Lite Replace GPT-6.1 Sol

Gemini 3.5 Flash LiteGoogle

Coding: 49.0
Overall: 49.8
Output $/M: $2.50

GPT-6.1 SolOpenAI

Coding: 82.4
Overall: 81.4
Output $/M: $10.00

vs boards won of 65 shared

Gemini 3.5 Flash Lite 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 49.0 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite for output tokens 4.0x cheaper ($2.50 vs $10.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: science, where it leads.

Model AGemini 3.5 Flash LiteGoogle49.0/1003 independent benchmarks$0.41 per solved task Model BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task

652033

Shared results: 65
Gemini 3.5 Flash Lite only: 20
GPT-6.1 Sol only: 33
Like-for-like categories: 7 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.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Sol
GPT-6.1 Sol scores 82.4 against 49.0.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.5 Flash Lite has a AA Agentic Index result, 14.3.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6.1 Sol has a Design Arena: websites result, 1321.
Directional only
General
Vals Index
No call
Only GPT-6.1 Sol has a Vals Index result, 63.9%.
Directional only
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.0015, GPT-6.1 Sol $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash Lite has the number, $0.41.
Directional only

At a glance

Coding index: Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category: Math, 50.8 points apart on average over 6 shared benchmarks.
Widest single gap: FrontierMath, tier 4: Gemini 3.5 Flash Lite 0.0% against GPT-6.1 Sol 100.0%, 100.0 points apart on a 0 to 100 scale.
Output price: Gemini 3.5 Flash Lite $2.50 against GPT-6.1 Sol $10.00 per million output tokens, 4.0x apart.
Context window: Gemini 3.5 Flash Lite 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
Category	Gemini 3.5 Flash Lite	GPT-6.1 Sol
Coding	1	11
Intelligence	0	2
Agentic work	0	5
Reasoning	0	11
Math	0	6
Knowledge	2	4
General	3	20
All shared boards	6	59

CodingLike-for-likeSix of these boards feed the Vibe Coding Index111

Coding benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
LiveBench coding	Not measured	96.0%	Only GPT-6.1 Sol measured
LMArena WebDev	1435	1753	GPT-6.1 Sol
AA Coding Index	49.3	Not measured	Only Gemini 3.5 Flash Lite measured
LiveCodeBench (Vals AI)	79.0%	Not measured	Only Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)	75.0%	Not measured	Only Gemini 3.5 Flash Lite measured
Terminal-Bench 4 (Vals AI)	Not measured	55.0%	Only GPT-6.1 Sol measured
Vibe Code Bench (Vals AI)	37.2%	88.9%	GPT-6.1 Sol
Code migration (Vals AI)	6.2%	65.1%	GPT-6.1 Sol
ProgramBench (Vals AI)	0.0%	3.0%	GPT-6.1 Sol
IOI (Vals AI)	Not measured	96.9%	Only GPT-6.1 Sol measured
Terminal-Bench 2.1 (Vals AI)	50.2%	Not measured	Only Gemini 3.5 Flash Lite measured
SWE-bench Multimodal (Vals AI)	Not measured	43.5%	Only GPT-6.1 Sol measured
CyberBench (Vals AI)	59.1%	39.3%	Gemini 3.5 Flash Lite
SciCode	41.3%	55.8%	GPT-6.1 Sol
FrontierCode	Not measured	50.2%	Only GPT-6.1 Sol measured
WeirdML	39.0%	Not measured	Only Gemini 3.5 Flash Lite measured
ALE-Bench	765.3	2743.8	GPT-6.1 Sol
LMArena Text: coding	1453	1478	GPT-6.1 Sol
LMArena Text: software and IT	1451	1476	GPT-6.1 Sol
LMArena WebDev: React	1408	1754	GPT-6.1 Sol
LMArena WebDev: HTML	Not measured	1800	Only GPT-6.1 Sol measured
LMArena WebDev: from an image	1448	1702	GPT-6.1 Sol
SciCode	6.2%	9.2%	GPT-6.1 Sol
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 Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
AA Intelligence Index	22.2	51.8	GPT-6.1 Sol
Epoch Capabilities Index	144.9	168.4	GPT-6.1 Sol

Agentic workLike-for-likePublic boards, shown as published, kept out of the index05

Agentic work benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
AA Agentic Index	14.3	Not measured	Only Gemini 3.5 Flash Lite measured
Design Arena: agents building web apps	Not measured	1306	Only GPT-6.1 Sol measured
Design Arena: agents building mobile apps	Not measured	1213	Only GPT-6.1 Sol measured
Design Arena: spreadsheets	Not measured	1259	Only GPT-6.1 Sol measured
LiveBench research	Not measured	83.5%	Only GPT-6.1 Sol measured
LiveBench browser	Not measured	88.0%	Only GPT-6.1 Sol measured
LiveBench long agentic	Not measured	73.0%	Only GPT-6.1 Sol measured
SREBench (Vals AI)	Not measured	50.8%	Only GPT-6.1 Sol measured
Finance Agent (Vals AI)	47.4%	52.0%	GPT-6.1 Sol
Tax Agent Bench (Vals AI)	7.2%	21.8%	GPT-6.1 Sol
Legal Research Bench (Vals AI)	13.9%	38.5%	GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	6.3%	Only GPT-6.1 Sol measured
Excel Modeling Benchmark (Vals AI)	43.2%	70.8%	GPT-6.1 Sol
BioMysteryBench (Vals AI)	Not measured	79.6%	Only GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)	Not measured	52.9%	Only GPT-6.1 Sol measured
Vals Science Index	Not measured	59.6%	Only GPT-6.1 Sol measured
Robo-bench (Vals AI)	Not measured	28.3%	Only GPT-6.1 Sol measured
APEX-Agents	29.3%	60.0%	GPT-6.1 Sol
SpireClimb	Not measured	24.7%	Only GPT-6.1 Sol measured
Neither model has a result on the other 22 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index011

Reasoning benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
GPQA Diamond	83.8%	Not measured	Only Gemini 3.5 Flash Lite measured
LiveBench reasoning	Not measured	92.6%	Only GPT-6.1 Sol measured
MysteryMechanism (Vals AI)	Not measured	46.4%	Only GPT-6.1 Sol measured
MMMU Pro (Vals AI)	83.6%	Not measured	Only Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)	83.8%	Not measured	Only Gemini 3.5 Flash Lite measured
Humanity's Last Exam (Artificial Analysis run)	18.8%	52.9%	GPT-6.1 Sol
GPQA Diamond (Epoch AI run)	83.3%	95.4%	GPT-6.1 Sol
ARC-AGI	53.5%	98.5%	GPT-6.1 Sol
ARC-AGI-2	10.3%	94.2%	GPT-6.1 Sol
Chess puzzles	21.0%	68.0%	GPT-6.1 Sol
Mystery game puzzles	19.0%	80.0%	GPT-6.1 Sol
EBR-bench	Not measured	54.3%	Only GPT-6.1 Sol measured
LMArena Text: hard prompts	1441	1463	GPT-6.1 Sol
LMArena Text: expert	1434	1489	GPT-6.1 Sol
LMArena Text: hard prompts in English	1440	1465	GPT-6.1 Sol
LMArena Vision: diagrams	1284	1306	GPT-6.1 Sol
LMArena Vision: homework	1291	1356	GPT-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 index06

Math benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
OTIS Mock AIME	71.1%	100.0%	GPT-6.1 Sol
FrontierMath, tiers 1 to 3	26.0%	93.7%	GPT-6.1 Sol
FrontierMath, tier 4	0.0%	100.0%	GPT-6.1 Sol
ProofBench	13.0%	99.0%	GPT-6.1 Sol
LMArena Text: math	1434	1489	GPT-6.1 Sol
LMArena Text: mathematical work	1433	1513	GPT-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 index24

Knowledge benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
MMLU Pro	85.8%	Not measured	Only Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)	84.1%	Not measured	Only Gemini 3.5 Flash Lite measured
CorpFin (Vals AI)	60.7%	Not measured	Only Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)	72.6%	Not measured	Only Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)	68.7%	Not measured	Only Gemini 3.5 Flash Lite measured
MedCode (Vals AI)	43.5%	48.8%	GPT-6.1 Sol
SimpleQA Verified	Not measured	73.9%	Only GPT-6.1 Sol measured
LMArena Text: science	1451	1444	Gemini 3.5 Flash Lite
LMArena Text: medicine and healthcare	1438	1433	Gemini 3.5 Flash Lite
LMArena Text: legal and government	1431	1471	GPT-6.1 Sol
LMArena Text: business and finance	1423	1445	GPT-6.1 Sol
FACTS Benchmark Suite	53.5%	75.3%	GPT-6.1 Sol
Neither model has a result on the other 6 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Web design benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
Design Arena: websites	Not measured	1321	Only GPT-6.1 Sol measured
Design Arena: UI components	Not measured	1317	Only GPT-6.1 Sol measured
Design Arena: game dev	Not measured	1389	Only GPT-6.1 Sol measured
Design Arena: data viz	Not measured	1281	Only GPT-6.1 Sol measured
Design Arena: 3D	Not measured	1460	Only GPT-6.1 Sol measured
Design Arena: all code categories	Not measured	1345	Only GPT-6.1 Sol measured
LiveBench design	Not measured	82.1%	Only GPT-6.1 Sol measured
Neither model has a result on the other 2 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index320

General benchmarks for Gemini 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
Vals Index	Not measured	63.9%	Only GPT-6.1 Sol measured
LiveBench data analysis	Not measured	82.7%	Only GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)	51.8%	59.3%	GPT-6.1 Sol
SAGE (Vals AI)	47.3%	46.5%	Gemini 3.5 Flash Lite
MedScribe (Vals AI)	70.9%	86.5%	GPT-6.1 Sol
Long context reasoning (AA-LCR)	76.0%	84.0%	GPT-6.1 Sol
DTBench	83.5%	96.5%	GPT-6.1 Sol
LMCA	37.6%	62.8%	GPT-6.1 Sol
Furniture assembly	Not measured	80.0%	Only GPT-6.1 Sol measured
LMArena Text	1435	1443	GPT-6.1 Sol
LMArena Text: instruction following	1419	1466	GPT-6.1 Sol
LMArena Text: creative writing	1421	1425	GPT-6.1 Sol
LMArena Vision	1269	1288	GPT-6.1 Sol
LMArena Text: English	1438	1450	GPT-6.1 Sol
LMArena Text: non-English	1427	1433	GPT-6.1 Sol
LMArena Text: Chinese	1468	1487	GPT-6.1 Sol
LMArena Text: German	1454	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Japanese	1426	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: Korean	1407	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: French	1451	1460	GPT-6.1 Sol
LMArena Text: Spanish	1441	1439	Gemini 3.5 Flash Lite
LMArena Text: Russian	1443	1457	GPT-6.1 Sol
LMArena Text: Polish	1437	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn	1445	1442	Gemini 3.5 Flash Lite
LMArena Text: longer queries	1435	1458	GPT-6.1 Sol
LMArena Text: writing and language	1428	1444	GPT-6.1 Sol
LMArena Text: entertainment and media	1414	1426	GPT-6.1 Sol
LMArena Vision: English	1269	1274	GPT-6.1 Sol
LMArena Vision: Chinese	1311	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: reading text	1280	1289	GPT-6.1 Sol
LMArena Vision: humor	1287	Not measured	Only Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing	1260	1301	GPT-6.1 Sol
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 3.5 Flash Lite and GPT-6.1 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-6.1 Sol	Leader
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 Lite$0.0015Fits in one request

GPT-6.1 Sol$0.0070Fits in one request

Gemini 3.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request

GPT-6.1 Sol$0.130Fits in one request

Gemini 3.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request

GPT-6.1 Sol$0.500Fits in one request

Gemini 3.5 Flash Lite 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 Lite and GPT-6.1 Sol
Specification	Google Gemini 3.5 Flash Lite	OpenAI GPT-6.1 Sol
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	July 21, 2026	September 29, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.30	$2.00
Output $/Mtok	$2.50	$10.00
Coding index	49.0	82.4
Independent measurements behind it	3	5
Cost per solved task	$0.41	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.5 Flash Lite 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 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for output tokens 4.0x cheaper ($2.50 vs $10.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: science, where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or GPT-6.1 Sol?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.5 Flash Lite only.

Which has the bigger context window, Gemini 3.5 Flash Lite or GPT-6.1 Sol?

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

How many benchmarks is the Gemini 3.5 Flash Lite vs GPT-6.1 Sol comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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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Gemini 3.5 Flash Lite or GPT-6.1 Sol: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next