Gemini 3.1 Flash Lite Preview vs GPT-5.5

GPT-5.5 leads Gemini 3.1 Flash Lite Preview on coding, 71.3 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 20.0x less per output token ($1.50 vs $30.00 per million). Updated October 22, 2026; 76 benchmarks have a result for both.

Replace Gemini 3.1 Flash Lite Preview Replace GPT-5.5

Gemini 3.1 Flash Lite PreviewGoogle

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

GPT-5.5OpenAI

Coding: 71.3
Overall: 69.2
Output $/M: $30.00

vs boards won of 76 shared

Gemini 3.1 Flash Lite Preview or GPT-5.5: which to pick

Pick GPT-5.5 for coding: it scores 71.3 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 20.0x cheaper ($1.50 vs $30.00 per million) and a lower cost per solved task ($0.18 against $1.65).

Model AGemini 3.1 Flash Lite PreviewGoogle22.7/1003 independent benchmarks$0.18 per solved task Model BGPT-5.5OpenAI71.3/1005 independent benchmarks$1.65 per solved task

76358

Shared results: 76
Gemini 3.1 Flash Lite Preview only: 3
GPT-5.5 only: 58
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-5.5
GPT-5.5 scores 71.3 against 22.7.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.5
GPT-5.5 leads, 38.4 against 15.6.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.5
GPT-5.5 leads, 36.4 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.5
GPT-5.5 leads, 93.2% against 81.1%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Flash Lite Preview has a AIME result, 83.3%.
Directional only
Knowledge
MMLU Pro
GPT-5.5
GPT-5.5 leads, 88.1% against 86.2%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.5
GPT-5.5 leads, 1256 against 1082.
Same board, both measured
Long documents
Listed context window
GPT-5.5
GPT-5.5 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-5.5 $0.020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview $0.18, GPT-5.5 $1.65.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.1 Flash Lite Preview 22.7 from 3 benchmarks, GPT-5.5 71.3 from 5 benchmarks.
Widest category: Agentic work, 33.6 points apart on average over 5 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GPT-5.5 69.8%, 69.8 points apart on a 0 to 100 scale.
Output price: Gemini 3.1 Flash Lite Preview $1.50 against GPT-5.5 $30.00 per million output tokens, 20.0x apart.
Context window: Gemini 3.1 Flash Lite Preview takes 1.05M tokens, GPT-5.5 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-5.5
Coding	0	14
Intelligence	0	1
Agentic work	0	5
Reasoning	0	7
Math	0	2
Knowledge	0	12
Web design	0	8
General	1	26
All shared boards	1	75

CodingLike-for-likeSix of these boards feed the Vibe Coding Index014

Coding benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
LiveBench coding	Not measured	85.1%	Only GPT-5.5 measured
LMArena WebDev	1257	1513	GPT-5.5
AA Coding Index	34.7	74.9	GPT-5.5
LiveCodeBench (Vals AI)	80.1%	85.3%	GPT-5.5
SWE-bench Verified (Vals AI)	62.8%	82.6%	GPT-5.5
Vibe Code Bench (Vals AI)	0.0%	69.8%	GPT-5.5
Code migration (Vals AI)	4.6%	45.2%	GPT-5.5
ProgramBench (Vals AI)	0.0%	0.5%	GPT-5.5
Terminal-Bench 2.1 (Vals AI)	34.1%	76.4%	GPT-5.5
SkillsBench (Vals AI)	Not measured	62.5%	Only GPT-5.5 measured
SciCode	Not measured	56.1%	Only GPT-5.5 measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	60.6%	Only GPT-5.5 measured
Terminal-Bench	Not measured	84.7%	Only GPT-5.5 measured
FrontierCode	Not measured	43.0%	Only GPT-5.5 measured
GSO-Bench	Not measured	40.2%	Only GPT-5.5 measured
WeirdML	Not measured	84.9%	Only GPT-5.5 measured
MirrorCode	Not measured	10.0%	Only GPT-5.5 measured
ALE-Bench	797.7	1943.0	GPT-5.5
LMArena Text: coding	1400	1494	GPT-5.5
LMArena Text: software and IT	1413	1493	GPT-5.5
LMArena WebDev: React	1245	1506	GPT-5.5
LMArena WebDev: HTML	1276	1543	GPT-5.5
LMArena WebDev: from an image	1336	1532	GPT-5.5
SciCode	4.6%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 15 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-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
AA Intelligence Index	15.6	38.4	GPT-5.5
Epoch Capabilities Index	Not measured	159.7	Only GPT-5.5 measured

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

Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
AA Agentic Index	1.6	36.4	GPT-5.5
Design Arena: agents building web apps	Not measured	1117	Only GPT-5.5 measured
Design Arena: agents building full-stack apps	Not measured	1089	Only GPT-5.5 measured
Design Arena: agents building mobile apps	Not measured	1142	Only GPT-5.5 measured
Design Arena: agents building Android apps	Not measured	1164	Only GPT-5.5 measured
Design Arena: agents building Godot games	Not measured	1173	Only GPT-5.5 measured
Design Arena: agents building games	Not measured	1179	Only GPT-5.5 measured
Design Arena: HTML slides	Not measured	1017	Only GPT-5.5 measured
Design Arena: PowerPoint slides	Not measured	1084	Only GPT-5.5 measured
LiveBench research	Not measured	61.6%	Only GPT-5.5 measured
LiveBench browser	Not measured	48.0%	Only GPT-5.5 measured
LiveBench long agentic	Not measured	44.6%	Only GPT-5.5 measured
SREBench (Vals AI)	Not measured	3.8%	Only GPT-5.5 measured
Finance Agent (Vals AI)	30.0%	51.8%	GPT-5.5
Tax Agent Bench (Vals AI)	3.1%	21.8%	GPT-5.5
Legal Research Bench (Vals AI)	3.4%	40.4%	GPT-5.5
Excel Modeling Benchmark (Vals AI)	8.6%	64.5%	GPT-5.5
Time Horizon Index (Vals AI)	Not measured	8.3%	Only GPT-5.5 measured
τ²-Bench Telecom	Not measured	93.9%	Only GPT-5.5 measured
APEX-Agents	Not measured	55.1%	Only GPT-5.5 measured
Remote Labor Index	Not measured	6.3%	Only GPT-5.5 measured
OSWorld 2.0	Not measured	13.0%	Only GPT-5.5 measured
DeepResearch Bench	Not measured	54.0%	Only GPT-5.5 measured
PostTrainBench	Not measured	27.2%	Only GPT-5.5 measured
Vending-Bench 2	Not measured	$7,524	Only GPT-5.5 measured
Neither model has a result on the other 16 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index07

Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
GPQA Diamond	81.1%	93.2%	GPT-5.5
LiveBench reasoning	Not measured	89.7%	Only GPT-5.5 measured
MMMU Pro (Vals AI)	82.5%	88.3%	GPT-5.5
GPQA Diamond (Artificial Analysis run)	Not measured	93.5%	Only GPT-5.5 measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	45.8%	Only GPT-5.5 measured
GPQA Diamond (Epoch AI run)	Not measured	90.7%	Only GPT-5.5 measured
ARC-AGI	Not measured	95.0%	Only GPT-5.5 measured
ARC-AGI-2	Not measured	85.0%	Only GPT-5.5 measured
SimpleBench	Not measured	69.0%	Only GPT-5.5 measured
Chess puzzles	Not measured	63.0%	Only GPT-5.5 measured
Mystery game puzzles	Not measured	56.0%	Only GPT-5.5 measured
EBR-bench	Not measured	34.3%	Only GPT-5.5 measured
LMArena Text: hard prompts	1407	1489	GPT-5.5
LMArena Text: expert	1398	1507	GPT-5.5
LMArena Text: hard prompts in English	1403	1483	GPT-5.5
LMArena Vision: diagrams	1242	1325	GPT-5.5
LMArena Vision: homework	1271	1332	GPT-5.5
Kagi LLM Benchmark	Not measured	88.8%	Only GPT-5.5 measured
Neither model has a result on the other 4 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-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
AIME	83.3%	Not measured	Only Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIME	Not measured	84.4%	Only GPT-5.5 measured
FrontierMath, tiers 1 to 3	Not measured	85.3%	Only GPT-5.5 measured
FrontierMath, tier 4	Not measured	72.5%	Only GPT-5.5 measured
ProofBench	Not measured	50.0%	Only GPT-5.5 measured
LMArena Text: math	1428	1487	GPT-5.5
LMArena Text: mathematical work	1417	1496	GPT-5.5
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index012

Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
MMLU Pro	86.2%	88.1%	GPT-5.5
LegalBench (Vals AI)	83.8%	86.5%	GPT-5.5
CaseLaw (Vals AI)	55.0%	66.2%	GPT-5.5
CorpFin (Vals AI)	59.4%	68.4%	GPT-5.5
TaxEval (Vals AI)	71.8%	75.0%	GPT-5.5
MortgageTax (Vals AI)	68.0%	68.8%	GPT-5.5
MedCode (Vals AI)	47.6%	49.1%	GPT-5.5
SimpleQA Verified	Not measured	63.0%	Only GPT-5.5 measured
LMArena Text: science	1425	1485	GPT-5.5
LMArena Text: medicine and healthcare	1428	1465	GPT-5.5
LMArena Text: legal and government	1418	1491	GPT-5.5
LMArena Text: business and finance	1389	1478	GPT-5.5
FACTS Benchmark Suite	51.4%	66.7%	GPT-5.5
Neither model has a result on the other 5 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index08

Web design benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
Design Arena: websites	1082	1256	GPT-5.5
Design Arena: UI components	1069	1257	GPT-5.5
Design Arena: game dev	1029	1293	GPT-5.5
Design Arena: data viz	1045	1264	GPT-5.5
Design Arena: 3D	1047	1197	GPT-5.5
Design Arena: all code categories	1072	1260	GPT-5.5
Design Arena: SVG	1052	1234	GPT-5.5
Design Arena: ASCII art	1167	1255	GPT-5.5
LiveBench design	Not measured	70.3%	Only GPT-5.5 measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index126

General benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	Leader
LiveBench data analysis	Not measured	81.6%	Only GPT-5.5 measured
Public Benefits Bench (Vals AI)	Not measured	60.9%	Only GPT-5.5 measured
SAGE (Vals AI)	49.5%	51.5%	GPT-5.5
MedScribe (Vals AI)	63.9%	86.9%	GPT-5.5
Vals Multimodal Index	41.4%	68.1%	GPT-5.5
IFBench	Not measured	75.9%	Only GPT-5.5 measured
Long context reasoning (AA-LCR)	Not measured	84.3%	Only GPT-5.5 measured
DTBench	Not measured	96.0%	Only GPT-5.5 measured
LMCA	Not measured	54.3%	Only GPT-5.5 measured
Surface Evolver Bench	Not measured	88.1%	Only GPT-5.5 measured
Furniture assembly	Not measured	44.2%	Only GPT-5.5 measured
ExploitBench	Not measured	47.4%	Only GPT-5.5 measured
CL-bench Life	Not measured	22.2%	Only GPT-5.5 measured
LMArena Text	1416	1471	GPT-5.5
LMArena Text: instruction following	1377	1478	GPT-5.5
LMArena Text: creative writing	1401	1455	GPT-5.5
LMArena Vision	1240	1297	GPT-5.5
LMArena Text: English	1414	1470	GPT-5.5
LMArena Text: non-English	1410	1467	GPT-5.5
LMArena Text: Chinese	1460	1534	GPT-5.5
LMArena Text: German	1430	1480	GPT-5.5
LMArena Text: Japanese	1413	1499	GPT-5.5
LMArena Text: Korean	1392	1460	GPT-5.5
LMArena Text: French	1424	1485	GPT-5.5
LMArena Text: Spanish	1421	1468	GPT-5.5
LMArena Text: Russian	1420	1473	GPT-5.5
LMArena Text: Polish	1443	1465	GPT-5.5
LMArena Text: multi-turn	1417	1476	GPT-5.5
LMArena Text: longer queries	1394	1484	GPT-5.5
LMArena Text: writing and language	1408	1466	GPT-5.5
LMArena Text: entertainment and media	1386	1449	GPT-5.5
LMArena Vision: English	1232	1292	GPT-5.5
LMArena Vision: Chinese	1278	1360	GPT-5.5
LMArena Vision: reading text	1246	1306	GPT-5.5
LMArena Vision: humor	1266	1293	GPT-5.5
LMArena Vision: captioning	1259	Not measured	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things	1308	1231	Gemini 3.1 Flash Lite Preview
LMArena Vision: creative writing	1248	1301	GPT-5.5
LMArena Document	Not measured	1486	Only GPT-5.5 measured
Neither model has a result on the other 7 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-5.5
Benchmark	Gemini 3.1 Flash Lite Preview	GPT-5.5	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-5.5$0.020Fits 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-5.5$0.340Fits 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-5.5$1.30Fits 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-5.5
Specification	Google Gemini 3.1 Flash Lite Preview	OpenAI GPT-5.5
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	March 3, 2026	April 24, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.25	$5.00
Output $/Mtok	$1.50	$30.00
Coding index	22.7	71.3
Independent measurements behind it	3	5
Cost per solved task	$0.18	$1.65
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview better than GPT-5.5 for coding?

Pick GPT-5.5 for coding: it scores 71.3 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 20.0x cheaper ($1.50 vs $30.00 per million) and a lower cost per solved task ($0.18 against $1.65).

Which is cheaper, Gemini 3.1 Flash Lite Preview or GPT-5.5?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-5.5 costs $5.00 and $30.00. Per solved SWE-bench Verified task, Gemini 3.1 Flash Lite Preview costs $0.18 and GPT-5.5 $1.65.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GPT-5.5?

GPT-5.5, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GPT-5.5 comparison based on?

76 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-5.5'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-5.5: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

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