Gemini 3.1 Flash Lite Preview vs GPT-6.1 Sol

GPT-6.1 Sol leads Gemini 3.1 Flash Lite Preview on coding, 82.4 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 6.7x less per output token ($1.50 vs $10.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Replace Gemini 3.1 Flash Lite Preview Replace GPT-6.1 Sol

Gemini 3.1 Flash Lite PreviewGoogle

Coding: 22.7
Overall: 36.6
Output $/M: $1.50

GPT-6.1 SolOpenAI

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

vs boards won of 54 shared

Gemini 3.1 Flash Lite Preview 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 22.7 for Gemini 3.1 Flash Lite Preview.

Pick Gemini 3.1 Flash Lite Preview for output tokens 6.7x cheaper ($1.50 vs $10.00 per million) and work measured by SAGE (Vals AI), where it leads.

Model AGemini 3.1 Flash Lite PreviewGoogle22.7/1003 independent benchmarks$0.18 per solved task Model BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task

542544

Shared results: 54
Gemini 3.1 Flash Lite Preview only: 25
GPT-6.1 Sol only: 44
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.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Sol
GPT-6.1 Sol scores 82.4 against 22.7.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 15.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Flash Lite Preview has a AA Agentic Index result, 1.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Flash Lite Preview has a GPQA Diamond result, 81.1%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Flash Lite Preview has a AIME result, 83.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Flash Lite Preview has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
GPT-6.1 Sol
GPT-6.1 Sol leads, 1321 against 1082.
Same board, both measured
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 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview $0.0010, GPT-6.1 Sol $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Flash Lite Preview has the number, $0.18.
Directional only

At a glance

Coding index: Gemini 3.1 Flash Lite Preview 22.7 from 3 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category: Coding, 43.0 points apart on average over 11 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GPT-6.1 Sol 88.9%, 88.9 points apart on a 0 to 100 scale.
Output price: Gemini 3.1 Flash Lite Preview $1.50 against GPT-6.1 Sol $10.00 per million output tokens, 6.7x apart.
Context window: Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview	GPT-6.1 Sol
Coding	0	11
Intelligence	0	1
Agentic work	0	4
Reasoning	0	5
Math	0	2
Knowledge	0	6
Web design	0	6
General	1	18
All shared boards	1	53

CodingLike-for-likeSix of these boards feed the Vibe Coding Index011

Coding benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
LiveBench coding	Not measured	96.0%	Only GPT-6.1 Sol measured
LMArena WebDev	1257	1753	GPT-6.1 Sol
AA Coding Index	34.7	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LiveCodeBench (Vals AI)	80.1%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
SWE-bench Verified (Vals AI)	62.8%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Terminal-Bench 4 (Vals AI)	Not measured	55.0%	Only GPT-6.1 Sol measured
Vibe Code Bench (Vals AI)	0.0%	88.9%	GPT-6.1 Sol
Code migration (Vals AI)	4.6%	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)	34.1%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
SWE-bench Multimodal (Vals AI)	Not measured	43.5%	Only GPT-6.1 Sol measured
CyberBench (Vals AI)	Not measured	39.3%	Only GPT-6.1 Sol measured
SciCode	Not measured	55.8%	Only GPT-6.1 Sol measured
FrontierCode	Not measured	50.2%	Only GPT-6.1 Sol measured
ALE-Bench	797.7	2743.8	GPT-6.1 Sol
LMArena Text: coding	1400	1478	GPT-6.1 Sol
LMArena Text: software and IT	1413	1476	GPT-6.1 Sol
LMArena WebDev: React	1245	1754	GPT-6.1 Sol
LMArena WebDev: HTML	1276	1800	GPT-6.1 Sol
LMArena WebDev: from an image	1336	1702	GPT-6.1 Sol
SciCode	4.6%	9.2%	GPT-6.1 Sol
Neither model has a result on the other 17 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
AA Intelligence Index	15.6	51.8	GPT-6.1 Sol
Epoch Capabilities Index	Not measured	168.4	Only GPT-6.1 Sol measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index04

Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
AA Agentic Index	1.6	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Design Arena: agents building web apps	Not measured	1307	Only GPT-6.1 Sol measured
Design Arena: agents building mobile apps	Not measured	1223	Only GPT-6.1 Sol measured
Design Arena: spreadsheets	Not measured	1275	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)	30.0%	52.0%	GPT-6.1 Sol
Tax Agent Bench (Vals AI)	3.1%	21.8%	GPT-6.1 Sol
Legal Research Bench (Vals AI)	3.4%	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)	8.6%	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	Not measured	60.0%	Only GPT-6.1 Sol measured
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 index05

Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
GPQA Diamond	81.1%	Not measured	Only Gemini 3.1 Flash Lite Preview 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)	82.5%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	52.9%	Only GPT-6.1 Sol measured
GPQA Diamond (Epoch AI run)	Not measured	95.4%	Only GPT-6.1 Sol measured
ARC-AGI	Not measured	98.5%	Only GPT-6.1 Sol measured
ARC-AGI-2	Not measured	94.2%	Only GPT-6.1 Sol measured
Chess puzzles	Not measured	68.0%	Only GPT-6.1 Sol measured
Mystery game puzzles	Not measured	80.0%	Only GPT-6.1 Sol measured
EBR-bench	Not measured	54.3%	Only GPT-6.1 Sol measured
LMArena Text: hard prompts	1407	1463	GPT-6.1 Sol
LMArena Text: expert	1398	1489	GPT-6.1 Sol
LMArena Text: hard prompts in English	1403	1465	GPT-6.1 Sol
LMArena Vision: diagrams	1242	1306	GPT-6.1 Sol
LMArena Vision: homework	1271	1356	GPT-6.1 Sol
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index02

Math benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
AIME	83.3%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIME	Not measured	100.0%	Only GPT-6.1 Sol measured
FrontierMath, tiers 1 to 3	Not measured	93.7%	Only GPT-6.1 Sol measured
FrontierMath, tier 4	Not measured	100.0%	Only GPT-6.1 Sol measured
ProofBench	Not measured	99.0%	Only GPT-6.1 Sol measured
LMArena Text: math	1428	1489	GPT-6.1 Sol
LMArena Text: mathematical work	1417	1513	GPT-6.1 Sol
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06

Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
MMLU Pro	86.2%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LegalBench (Vals AI)	83.8%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
CaseLaw (Vals AI)	55.0%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
CorpFin (Vals AI)	59.4%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
TaxEval (Vals AI)	71.8%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
MortgageTax (Vals AI)	68.0%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
MedCode (Vals AI)	47.6%	48.8%	GPT-6.1 Sol
SimpleQA Verified	Not measured	73.9%	Only GPT-6.1 Sol measured
LMArena Text: science	1425	1444	GPT-6.1 Sol
LMArena Text: medicine and healthcare	1428	1433	GPT-6.1 Sol
LMArena Text: legal and government	1418	1471	GPT-6.1 Sol
LMArena Text: business and finance	1389	1445	GPT-6.1 Sol
FACTS Benchmark Suite	51.4%	75.3%	GPT-6.1 Sol
Neither model has a result on the other 5 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index06

Web design benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-6.1 Sol	Leader
Design Arena: websites	1082	1321	GPT-6.1 Sol
Design Arena: UI components	1069	1322	GPT-6.1 Sol
Design Arena: game dev	1029	1392	GPT-6.1 Sol
Design Arena: data viz	1045	1281	GPT-6.1 Sol
Design Arena: 3D	1047	1460	GPT-6.1 Sol
Design Arena: all code categories	1071	1346	GPT-6.1 Sol
Design Arena: SVG	1051	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Design Arena: ASCII art	1167	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LiveBench design	Not measured	82.1%	Only GPT-6.1 Sol measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index118

General benchmarks for Gemini 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	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)	Not measured	59.3%	Only GPT-6.1 Sol measured
SAGE (Vals AI)	49.5%	46.5%	Gemini 3.1 Flash Lite Preview
MedScribe (Vals AI)	63.9%	86.5%	GPT-6.1 Sol
Vals Multimodal Index	41.4%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Long context reasoning (AA-LCR)	Not measured	84.0%	Only GPT-6.1 Sol measured
DTBench	Not measured	96.5%	Only GPT-6.1 Sol measured
LMCA	Not measured	62.8%	Only GPT-6.1 Sol measured
Furniture assembly	Not measured	80.0%	Only GPT-6.1 Sol measured
LMArena Text	1416	1443	GPT-6.1 Sol
LMArena Text: instruction following	1377	1466	GPT-6.1 Sol
LMArena Text: creative writing	1401	1425	GPT-6.1 Sol
LMArena Vision	1240	1288	GPT-6.1 Sol
LMArena Text: English	1414	1450	GPT-6.1 Sol
LMArena Text: non-English	1410	1433	GPT-6.1 Sol
LMArena Text: Chinese	1460	1487	GPT-6.1 Sol
LMArena Text: German	1430	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Text: Japanese	1413	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Text: Korean	1392	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Text: French	1424	1460	GPT-6.1 Sol
LMArena Text: Spanish	1421	1439	GPT-6.1 Sol
LMArena Text: Russian	1420	1457	GPT-6.1 Sol
LMArena Text: Polish	1443	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Text: multi-turn	1417	1442	GPT-6.1 Sol
LMArena Text: longer queries	1394	1458	GPT-6.1 Sol
LMArena Text: writing and language	1408	1444	GPT-6.1 Sol
LMArena Text: entertainment and media	1386	1426	GPT-6.1 Sol
LMArena Vision: English	1232	1274	GPT-6.1 Sol
LMArena Vision: Chinese	1278	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: reading text	1246	1289	GPT-6.1 Sol
LMArena Vision: humor	1266	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: captioning	1259	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things	1308	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: creative writing	1248	1301	GPT-6.1 Sol
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 3.1 Flash Lite Preview and GPT-6.1 Sol
Benchmark	Gemini 3.1 Flash Lite Preview	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 3.1 Flash Lite Preview$0.0010Fits in one request

GPT-6.1 Sol$0.0070Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite Preview$0.017Fits in one request

GPT-6.1 Sol$0.130Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite Preview$0.065Fits in one request

GPT-6.1 Sol$0.500Fits in one request

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview and GPT-6.1 Sol
Specification	Google Gemini 3.1 Flash Lite Preview	OpenAI GPT-6.1 Sol
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	March 3, 2026	September 29, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.25	$2.00
Output $/Mtok	$1.50	$10.00
Coding index	22.7	82.4
Independent measurements behind it	3	5
Cost per solved task	$0.18	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview 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 22.7 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview for output tokens 6.7x cheaper ($1.50 vs $10.00 per million) and work measured by SAGE (Vals AI), where it leads.

Which is cheaper, Gemini 3.1 Flash Lite Preview or GPT-6.1 Sol?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for Gemini 3.1 Flash Lite Preview only.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GPT-6.1 Sol?

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

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GPT-6.1 Sol comparison based on?

54 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Flash Lite Preview'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 3.1 Flash Lite Preview or GPT-6.1 Sol: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

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