Gemini 3.5 Flash Lite vs GPT-5.6 Sol

Updated October 21, 2026. 82 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.5 Flash Lite Replace GPT-5.6 Sol

Gemini 3.5 Flash LiteGoogle

Coding: 33.6
Overall: 22.2
Output $/M: $2.50

GPT-5.6 SolOpenAI

Coding: 76.7
Overall: 47.0
Output $/M: $20.00

vs boards won of 82 shared

Decision reading

Pick GPT-5.6 Sol for coding: it scores 76.7 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite when output tokens cost 8.0x less, or when a solved task costs $0.41 against $1.20.

Model AGemini 3.5 Flash LiteGoogle33.6/1001 independent benchmark$0.41 per solved task Model BGPT-5.6 SolOpenAI76.7/1002 independent benchmarks$1.20 per solved task

82154

Shared results: 82
Gemini 3.5 Flash Lite only: 1
GPT-5.6 Sol only: 54
Like-for-like categories: 7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, four public coding benchmarks
GPT-5.6 Sol
GPT-5.6 Sol scores 76.7 against 33.6.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 47.0 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 50.2 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Sol
GPT-5.6 Sol leads, 95.2% against 83.8%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.6 Sol
GPT-5.6 Sol leads, 89.1% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-5.6 Sol has a Design Arena: websites result, 1321.
Directional only
Long documents
Listed context window
GPT-5.6 Sol
GPT-5.6 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-5.6 Sol $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.41, GPT-5.6 Sol $1.20.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.5 Flash Lite 33.6 from 1 benchmark, GPT-5.6 Sol 76.7 from 2 benchmarks.
Widest category: Math, 43.6 points apart on average over 6 shared benchmarks.
Widest single gap: FrontierMath, tier 4: Gemini 3.5 Flash Lite 0.0% against GPT-5.6 Sol 82.9%, 82.9 points apart on a 0 to 100 scale.
Output price: Gemini 3.5 Flash Lite $2.50 against GPT-5.6 Sol $20.00 per million output tokens, 8.0x apart.
Context window: Gemini 3.5 Flash Lite takes 1.05M tokens, GPT-5.6 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
Category	Gemini 3.5 Flash Lite	GPT-5.6 Sol
Coding	0	16
Intelligence	0	2
Agentic work	0	5
Reasoning	0	14
Math	0	6
Knowledge	2	8
General	1	28
All shared boards	3	79

CodingLike-for-likeFour of these boards feed the Vibe Coding Index016

Coding benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
LiveBench coding	Not measured	89.7%	Only GPT-5.6 Sol measured
LMArena WebDev	1435	1616	GPT-5.6 Sol
AA Coding Index	49.3	77.4	GPT-5.6 Sol
LiveCodeBench (Vals AI)	79.0%	82.6%	GPT-5.6 Sol
SWE-bench Verified (Vals AI)	75.0%	96.2%	GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)	Not measured	37.9%	Only GPT-5.6 Sol measured
Vibe Code Bench (Vals AI)	37.2%	80.5%	GPT-5.6 Sol
Code migration (Vals AI)	6.2%	52.9%	GPT-5.6 Sol
ProgramBench (Vals AI)	0.0%	1.5%	GPT-5.6 Sol
IOI (Vals AI)	Not measured	91.2%	Only GPT-5.6 Sol measured
Terminal-Bench 2.1 (Vals AI)	50.2%	85.8%	GPT-5.6 Sol
Vibe Code Bench 1-100 (Vals AI)	Not measured	20.0%	Only GPT-5.6 Sol measured
SkillsBench (Vals AI)	Not measured	54.1%	Only GPT-5.6 Sol measured
CyberBench (Vals AI)	59.1%	76.3%	GPT-5.6 Sol
SciCode	41.3%	57.8%	GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)	Not measured	65.9%	Only GPT-5.6 Sol measured
FrontierCode	Not measured	47.5%	Only GPT-5.6 Sol measured
FrontierSWE	Not measured	32.2%	Only GPT-5.6 Sol measured
GSO-Bench	Not measured	76.5%	Only GPT-5.6 Sol measured
WeirdML	39.0%	88.8%	GPT-5.6 Sol
MirrorCode	Not measured	20.0%	Only GPT-5.6 Sol measured
ALE-Bench	765.3	2176.9	GPT-5.6 Sol
LMArena Text: coding	1453	1496	GPT-5.6 Sol
LMArena Text: software and IT	1451	1489	GPT-5.6 Sol
LMArena WebDev: React	1408	1620	GPT-5.6 Sol
LMArena WebDev: HTML	Not measured	1618	Only GPT-5.6 Sol measured
LMArena WebDev: from an image	1448	1609	GPT-5.6 Sol
Neither model has a result on the other 11 boards here

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

Intelligence benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
AA Intelligence Index	22.2	47.0	GPT-5.6 Sol
Epoch Capabilities Index	144.9	162.8	GPT-5.6 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-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
AA Agentic Index	14.3	50.2	GPT-5.6 Sol
Design Arena: agents building web apps	Not measured	1245	Only GPT-5.6 Sol measured
Design Arena: agents building full-stack apps	Not measured	1261	Only GPT-5.6 Sol measured
Design Arena: agents building mobile apps	Not measured	1249	Only GPT-5.6 Sol measured
Design Arena: agents building Android apps	Not measured	1246	Only GPT-5.6 Sol measured
Design Arena: agents building Godot games	Not measured	1260	Only GPT-5.6 Sol measured
Design Arena: agents building games	Not measured	1267	Only GPT-5.6 Sol measured
Design Arena: HTML slides	Not measured	1286	Only GPT-5.6 Sol measured
Design Arena: PowerPoint slides	Not measured	1240	Only GPT-5.6 Sol measured
LiveBench research	Not measured	54.5%	Only GPT-5.6 Sol measured
LiveBench browser	Not measured	88.0%	Only GPT-5.6 Sol measured
LiveBench long agentic	Not measured	48.5%	Only GPT-5.6 Sol measured
SREBench (Vals AI)	Not measured	30.5%	Only GPT-5.6 Sol measured
Finance Agent (Vals AI)	47.4%	53.8%	GPT-5.6 Sol
Tax Agent Bench (Vals AI)	7.2%	31.1%	GPT-5.6 Sol
Legal Research Bench (Vals AI)	13.9%	48.1%	GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)	43.2%	72.3%	GPT-5.6 Sol
BioMysteryBench (Vals AI)	Not measured	71.1%	Only GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)	Not measured	20.0%	Only GPT-5.6 Sol measured
Vals Science Index	Not measured	41.5%	Only GPT-5.6 Sol measured
Time Horizon Index (Vals AI)	Not measured	23.8%	Only GPT-5.6 Sol measured
CUA-bench (Vals AI)	Not measured	8.3%	Only GPT-5.6 Sol measured
τ²-Bench Telecom	Not measured	85.1%	Only GPT-5.6 Sol measured
APEX-Agents	29.3%	Not measured	Only Gemini 3.5 Flash Lite measured
OSWorld 2.0	Not measured	27.3%	Only GPT-5.6 Sol measured
BALROG	Not measured	60.0%	Only GPT-5.6 Sol measured
PostTrainBench	Not measured	36.2%	Only GPT-5.6 Sol measured
Vending-Bench 2	Not measured	$9,619	Only GPT-5.6 Sol measured
LMArena Search	Not measured	1261	Only GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index014

Reasoning benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
GPQA Diamond	83.8%	95.2%	GPT-5.6 Sol
LiveBench reasoning	Not measured	91.7%	Only GPT-5.6 Sol measured
MysteryMechanism (Vals AI)	Not measured	33.3%	Only GPT-5.6 Sol measured
MMMU Pro (Vals AI)	83.6%	88.8%	GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)	83.8%	94.1%	GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)	18.8%	49.5%	GPT-5.6 Sol
GPQA Diamond (Epoch AI run)	83.3%	93.5%	GPT-5.6 Sol
ARC-AGI	53.5%	97.5%	GPT-5.6 Sol
ARC-AGI-2	10.3%	92.5%	GPT-5.6 Sol
SimpleBench	Not measured	64.8%	Only GPT-5.6 Sol measured
Chess puzzles	21.0%	59.0%	GPT-5.6 Sol
Mystery game puzzles	19.0%	58.0%	GPT-5.6 Sol
EBR-bench	Not measured	44.8%	Only GPT-5.6 Sol measured
LMArena Text: hard prompts	1441	1483	GPT-5.6 Sol
LMArena Text: expert	1434	1517	GPT-5.6 Sol
LMArena Text: hard prompts in English	1440	1477	GPT-5.6 Sol
LMArena Vision: diagrams	1284	1305	GPT-5.6 Sol
LMArena Vision: homework	1291	1305	GPT-5.6 Sol
Neither model has a result on the other 3 boards here

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

Math benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
OTIS Mock AIME	71.1%	100.0%	GPT-5.6 Sol
FrontierMath, tiers 1 to 3	26.0%	89.1%	GPT-5.6 Sol
FrontierMath, tier 4	0.0%	82.9%	GPT-5.6 Sol
ProofBench	13.0%	83.0%	GPT-5.6 Sol
LMArena Text: math	1434	1473	GPT-5.6 Sol
LMArena Text: mathematical work	1433	1496	GPT-5.6 Sol
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28

Knowledge benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
MMLU Pro	85.8%	89.1%	GPT-5.6 Sol
LegalBench (Vals AI)	84.1%	87.0%	GPT-5.6 Sol
CorpFin (Vals AI)	60.7%	64.4%	GPT-5.6 Sol
TaxEval (Vals AI)	72.6%	74.8%	GPT-5.6 Sol
MortgageTax (Vals AI)	68.7%	67.3%	Gemini 3.5 Flash Lite
MedCode (Vals AI)	43.5%	44.0%	GPT-5.6 Sol
SimpleQA Verified	Not measured	69.7%	Only GPT-5.6 Sol measured
LMArena Text: science	1451	1455	GPT-5.6 Sol
LMArena Text: medicine and healthcare	1438	1431	Gemini 3.5 Flash Lite
LMArena Text: legal and government	1431	1476	GPT-5.6 Sol
LMArena Text: business and finance	1423	1457	GPT-5.6 Sol
Neither model has a result on the other 6 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared

Web design benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
Design Arena: websites	Not measured	1321	Only GPT-5.6 Sol measured
Design Arena: UI components	Not measured	1338	Only GPT-5.6 Sol measured
Design Arena: game dev	Not measured	1368	Only GPT-5.6 Sol measured
Design Arena: data viz	Not measured	1323	Only GPT-5.6 Sol measured
Design Arena: 3D	Not measured	1385	Only GPT-5.6 Sol measured
Design Arena: all code categories	Not measured	1341	Only GPT-5.6 Sol measured
Design Arena: SVG	Not measured	1316	Only GPT-5.6 Sol measured
Design Arena: ASCII art	Not measured	1302	Only GPT-5.6 Sol measured
LiveBench design	Not measured	81.6%	Only GPT-5.6 Sol measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index128

General benchmarks for Gemini 3.5 Flash Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 Sol	Leader
LiveBench data analysis	Not measured	79.8%	Only GPT-5.6 Sol measured
Public Benefits Bench (Vals AI)	51.8%	66.5%	GPT-5.6 Sol
SAGE (Vals AI)	47.3%	52.6%	GPT-5.6 Sol
MedScribe (Vals AI)	70.9%	85.2%	GPT-5.6 Sol
Vals Multimodal Index	Not measured	72.6%	Only GPT-5.6 Sol measured
IFBench	Not measured	72.7%	Only GPT-5.6 Sol measured
Long context reasoning (AA-LCR)	76.0%	84.0%	GPT-5.6 Sol
DTBench	83.5%	95.7%	GPT-5.6 Sol
LMCA	37.6%	58.5%	GPT-5.6 Sol
Surface Evolver Bench	Not measured	93.1%	Only GPT-5.6 Sol measured
Furniture assembly	Not measured	56.7%	Only GPT-5.6 Sol measured
LMArena Text	1435	1457	GPT-5.6 Sol
LMArena Text: instruction following	1419	1483	GPT-5.6 Sol
LMArena Text: creative writing	1421	1449	GPT-5.6 Sol
LMArena Vision	1269	1281	GPT-5.6 Sol
LMArena Text: English	1438	1457	GPT-5.6 Sol
LMArena Text: non-English	1427	1451	GPT-5.6 Sol
LMArena Text: Chinese	1468	1525	GPT-5.6 Sol
LMArena Text: German	1454	1476	GPT-5.6 Sol
LMArena Text: Japanese	1426	1472	GPT-5.6 Sol
LMArena Text: Korean	1407	1442	GPT-5.6 Sol
LMArena Text: French	1451	1472	GPT-5.6 Sol
LMArena Text: Spanish	1441	1443	GPT-5.6 Sol
LMArena Text: Russian	1443	1471	GPT-5.6 Sol
LMArena Text: Polish	1437	1459	GPT-5.6 Sol
LMArena Text: multi-turn	1445	1461	GPT-5.6 Sol
LMArena Text: longer queries	1435	1481	GPT-5.6 Sol
LMArena Text: writing and language	1428	1462	GPT-5.6 Sol
LMArena Text: entertainment and media	1414	1450	GPT-5.6 Sol
LMArena Vision: English	1269	1280	GPT-5.6 Sol
LMArena Vision: Chinese	1311	1313	GPT-5.6 Sol
LMArena Vision: reading text	1280	1290	GPT-5.6 Sol
LMArena Vision: humor	1287	1246	Gemini 3.5 Flash Lite
LMArena Vision: creative writing	1260	1283	GPT-5.6 Sol
LMArena Document	Not measured	1483	Only GPT-5.6 Sol 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 Lite and GPT-5.6 Sol
Benchmark	Gemini 3.5 Flash Lite	GPT-5.6 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-5.6 Sol$0.014Fits 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-5.6 Sol$0.260Fits 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-5.6 Sol$1.00Fits 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-5.6 Sol
Specification	Google Gemini 3.5 Flash Lite	OpenAI GPT-5.6 Sol
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	July 21, 2026	July 9, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.30	$4.00
Output $/Mtok	$2.50	$20.00
Coding index	33.6	76.7
Independent measurements behind it	1	2
Cost per solved task	$0.41	$1.20
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than GPT-5.6 Sol for coding?

Pick GPT-5.6 Sol for coding: it scores 76.7 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when output tokens cost 8.0x less, or when a solved task costs $0.41 against $1.20.

Which is cheaper, Gemini 3.5 Flash Lite or GPT-5.6 Sol?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GPT-5.6 Sol $1.20.

Which has the bigger context window, Gemini 3.5 Flash Lite or GPT-5.6 Sol?

GPT-5.6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.5 Flash Lite vs GPT-5.6 Sol comparison based on?

82 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 1 independent benchmark and GPT-5.6 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

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

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