Gemini 3.7 Flash vs LongCat 2.0

Gemini 3.7 Flash leads LongCat 2.0 on the Artificial Analysis Intelligence Index, 39.6 to 19.1, and LongCat 2.0 costs 3.1x less per output token ($1.20 vs $3.75 per million). Updated October 21, 2026; 7 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace LongCat 2.0

Gemini 3.7 FlashGoogle

Coding: 58.0
Overall: 65.7
Output $/M: $3.75

LongCat 2.0Meituan

Coding: No data
Overall: No data
Output $/M: $1.20

vs boards won of 7 shared

Gemini 3.7 Flash or LongCat 2.0: which to pick

Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; LongCat 2.0 has none, so the two cannot be ranked on coding.

Pick LongCat 2.0 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a larger context window (1.05M against 1.05M tokens).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved task Model BLongCat 2.0MeituanNot benchmarkedNo coding benchmarkNo cost per solved task

71071

Shared results: 7
Gemini 3.7 Flash only: 107
LongCat 2.0 only: 1
Like-for-like categories: 4 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
No call
Only Gemini 3.7 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 19.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only LongCat 2.0 has a AA Agentic Index result, 14.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1304.
Directional only
Long documents
Listed context window
LongCat 2.0
LongCat 2.0 takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
LongCat 2.0
Gemini 3.7 Flash $0.0026, LongCat 2.0 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only

At a glance

Coding index: Gemini 3.7 Flash 58.0 from 6 benchmarks, LongCat 2.0 not benchmarked.
Widest category: Intelligence, 20.5 points apart on average over 1 shared benchmark.
Widest single gap: AA Coding Index: Gemini 3.7 Flash 71.5 against LongCat 2.0 45.3, 26.2 points apart on a 0 to 100 scale.
Output price: Gemini 3.7 Flash $3.75 against LongCat 2.0 $1.20 per million output tokens, 3.1x apart.
Context window: Gemini 3.7 Flash takes 1.05M tokens, LongCat 2.0 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 3.7 Flash	Bars	LongCat 2.0	Ties
Coding	3		0
Intelligence	1		0
Reasoning	2		0
General	1		0
All shared boards	7		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index30

Coding benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
LiveBench coding	80.5%	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev	1591	Not measured	Only Gemini 3.7 Flash measured
AA Coding Index	71.5	45.3	Gemini 3.7 Flash
LiveCodeBench (Vals AI)	88.7%	Not measured	Only Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)	80.8%	Not measured	Only Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)	12.1%	Not measured	Only Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)	70.4%	Not measured	Only Gemini 3.7 Flash measured
Code migration (Vals AI)	34.8%	Not measured	Only Gemini 3.7 Flash measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.7 Flash measured
IOI (Vals AI)	67.8%	Not measured	Only Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)	77.5%	Not measured	Only Gemini 3.7 Flash measured
SkillsBench (Vals AI)	65.9%	Not measured	Only Gemini 3.7 Flash measured
CyberBench (Vals AI)	43.8%	Not measured	Only Gemini 3.7 Flash measured
SciCode	59.8%	36.3%	Gemini 3.7 Flash
FrontierCode	43.6%	Not measured	Only Gemini 3.7 Flash measured
FrontierSWE	20.3%	Not measured	Only Gemini 3.7 Flash measured
ALE-Bench	904.3	793.5	Gemini 3.7 Flash
LMArena Text: coding	1499	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: software and IT	1498	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev: React	1587	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev: HTML	1593	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev: from an image	1599	Not measured	Only Gemini 3.7 Flash measured
SciCode	13.8%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 16 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
AA Intelligence Index	39.6	19.1	Gemini 3.7 Flash
Epoch Capabilities Index	158.0	Not measured	Only Gemini 3.7 Flash measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared

Agentic work benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
AA Agentic Index	Not measured	14.0	Only LongCat 2.0 measured
Design Arena: agents building web apps	1223	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps	1208	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building mobile apps	1230	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building Android apps	1242	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building Godot games	1264	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building games	1235	Not measured	Only Gemini 3.7 Flash measured
Design Arena: spreadsheets	1053	Not measured	Only Gemini 3.7 Flash measured
LiveBench research	76.5%	Not measured	Only Gemini 3.7 Flash measured
LiveBench browser	56.0%	Not measured	Only Gemini 3.7 Flash measured
LiveBench long agentic	28.3%	Not measured	Only Gemini 3.7 Flash measured
SREBench (Vals AI)	4.6%	Not measured	Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)	59.0%	Not measured	Only Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)	22.8%	Not measured	Only Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)	34.6%	Not measured	Only Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)	71.3%	Not measured	Only Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)	7.1%	Not measured	Only Gemini 3.7 Flash measured
APEX-Agents	67.8%	Not measured	Only Gemini 3.7 Flash measured
Remote Labor Index	5.0%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 22 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index20

Reasoning benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
GPQA Diamond	93.9%	Not measured	Only Gemini 3.7 Flash measured
LiveBench reasoning	87.8%	Not measured	Only Gemini 3.7 Flash measured
MMMU Pro (Vals AI)	89.0%	Not measured	Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)	94.5%	78.0%	Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)	47.9%	33.7%	Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)	94.8%	Not measured	Only Gemini 3.7 Flash measured
ARC-AGI	95.5%	Not measured	Only Gemini 3.7 Flash measured
ARC-AGI-2	84.6%	Not measured	Only Gemini 3.7 Flash measured
Chess puzzles	66.0%	Not measured	Only Gemini 3.7 Flash measured
Mystery game puzzles	37.0%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: hard prompts	1495	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: expert	1512	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: hard prompts in English	1487	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: diagrams	1329	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: homework	1320	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared

Math benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
OTIS Mock AIME	97.2%	Not measured	Only Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 3	71.6%	Not measured	Only Gemini 3.7 Flash measured
FrontierMath, tier 4	36.6%	Not measured	Only Gemini 3.7 Flash measured
ProofBench	58.0%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: math	1511	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: mathematical work	1502	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared

Knowledge benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
MMLU Pro	90.1%	Not measured	Only Gemini 3.7 Flash measured
LegalBench (Vals AI)	87.3%	Not measured	Only Gemini 3.7 Flash measured
TaxEval (Vals AI)	74.7%	Not measured	Only Gemini 3.7 Flash measured
MortgageTax (Vals AI)	66.7%	Not measured	Only Gemini 3.7 Flash measured
MedCode (Vals AI)	53.4%	Not measured	Only Gemini 3.7 Flash measured
SimpleQA Verified	69.2%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: science	1511	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: medicine and healthcare	1494	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: legal and government	1496	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: business and finance	1479	Not measured	Only Gemini 3.7 Flash measured
FACTS Benchmark Suite	71.2%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here

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

Web design benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
Design Arena: websites	1304	Not measured	Only Gemini 3.7 Flash measured
Design Arena: UI components	1299	Not measured	Only Gemini 3.7 Flash measured
Design Arena: game dev	1318	Not measured	Only Gemini 3.7 Flash measured
Design Arena: data viz	1315	Not measured	Only Gemini 3.7 Flash measured
Design Arena: 3D	1308	Not measured	Only Gemini 3.7 Flash measured
Design Arena: all code categories	1308	Not measured	Only Gemini 3.7 Flash measured
Design Arena: SVG	1283	Not measured	Only Gemini 3.7 Flash measured
Design Arena: ASCII art	1276	Not measured	Only Gemini 3.7 Flash measured
LiveBench design	73.2%	Not measured	Only Gemini 3.7 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index10

General benchmarks for Gemini 3.7 Flash and LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	Leader
LiveBench data analysis	68.0%	Not measured	Only Gemini 3.7 Flash measured
SAGE (Vals AI)	49.2%	Not measured	Only Gemini 3.7 Flash measured
MedScribe (Vals AI)	83.9%	Not measured	Only Gemini 3.7 Flash measured
Long context reasoning (AA-LCR)	83.0%	65.0%	Gemini 3.7 Flash
DTBench	96.8%	Not measured	Only Gemini 3.7 Flash measured
LMCA	50.4%	Not measured	Only Gemini 3.7 Flash measured
Furniture assembly	26.7%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text	1489	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: instruction following	1484	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: creative writing	1488	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision	1314	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: English	1483	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: non-English	1487	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Chinese	1552	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: German	1506	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Japanese	1511	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Korean	1481	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: French	1500	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Spanish	1495	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Russian	1515	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Polish	1503	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: multi-turn	1485	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: longer queries	1492	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: writing and language	1491	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: entertainment and media	1477	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: English	1309	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: Chinese	1394	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: reading text	1322	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: humor	1299	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: creative writing	1312	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 16 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 LongCat 2.0
Benchmark	Gemini 3.7 Flash	LongCat 2.0	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 3.7 Flash$0.0026Fits in one request

LongCat 2.0$0.0009Fits in one request

LongCat 2.0 costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request

LongCat 2.0$0.019Fits in one request

LongCat 2.0 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request

LongCat 2.0$0.072Fits in one request

LongCat 2.0 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 LongCat 2.0
Specification	Google Gemini 3.7 Flash	Meituan LongCat 2.0
Maker	Google	Meituan
Weights	No public weights listed	Open weights
Released	August 13, 2026	July 20, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.75	$0.30
Output $/Mtok	$3.75	$1.20
Coding index	58.0	Not benchmarked
Independent measurements behind it	6	0
Cost per solved task	$1.78	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.7 Flash better than LongCat 2.0 for coding?

Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; LongCat 2.0 has none, so the two cannot be ranked on coding. Pick LongCat 2.0 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a larger context window (1.05M against 1.05M tokens).

Which is cheaper, Gemini 3.7 Flash or LongCat 2.0?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; LongCat 2.0 costs $0.30 and $1.20. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or LongCat 2.0?

LongCat 2.0, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.7 Flash vs LongCat 2.0 comparison based on?

7 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 LongCat 2.0's on 0. Where only one model has a result, the page says so instead of naming a winner.

Gemini 3.7 Flash or LongCat 2.0: which to pick

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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