DeepSeek V4.1 Flash vs Gemini 3.5 Flash Lite

DeepSeek V4.1 Flash leads Gemini 3.5 Flash Lite on coding, 62.5 to 49.0 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 3.2x less per output token ($0.78 vs $2.50 per million). Updated October 21, 2026; 71 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash Replace Gemini 3.5 Flash Lite

DeepSeek V4.1 FlashDeepSeek

Coding: 62.5
Overall: 62.4
Output $/M: $0.78

Gemini 3.5 Flash LiteGoogle

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

vs boards won of 71 shared

DeepSeek V4.1 Flash or Gemini 3.5 Flash Lite: which to pick

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite for work measured by LegalBench (Vals AI) or MedCode (Vals AI), where it leads.

Model ADeepSeek V4.1 FlashDeepSeek62.5/1005 independent benchmarksNo cost per solved task Model BGemini 3.5 Flash LiteGoogle49.0/1003 independent benchmarks$0.41 per solved task

713014

Shared results: 71
DeepSeek V4.1 Flash only: 30
Gemini 3.5 Flash Lite only: 14
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
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash scores 62.5 against 49.0.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 24.7 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 DeepSeek V4.1 Flash has a Design Arena: websites result, 1309.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash $0.0006, Gemini 3.5 Flash Lite $0.0015 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: DeepSeek V4.1 Flash 62.5 from 5 benchmarks, Gemini 3.5 Flash Lite 49.0 from 3 benchmarks.
Widest category: Math, 25.4 points apart on average over 6 shared benchmarks.
Widest single gap: ARC-AGI-2: DeepSeek V4.1 Flash 72.9% against Gemini 3.5 Flash Lite 10.3%, 62.6 points apart on a 0 to 100 scale.
Output price: DeepSeek V4.1 Flash $0.78 against Gemini 3.5 Flash Lite $2.50 per million output tokens, 3.2x apart.
Context window: Both take 1.05M tokens.

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	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite
Coding	12	0
Intelligence	2	0
Agentic work	5	0
Reasoning	11	0
Math	6	0
Knowledge	4	2
General	28	1
All shared boards	68	3

CodingLike-for-likeSix of these boards feed the Vibe Coding Index120

Coding benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
LiveBench coding	90.2%	Not measured	Only DeepSeek V4.1 Flash measured
LMArena WebDev	1618	1435	DeepSeek V4.1 Flash
AA Coding Index	Not measured	49.3	Only Gemini 3.5 Flash Lite measured
LiveCodeBench (Vals AI)	Not measured	79.0%	Only Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)	Not measured	75.0%	Only Gemini 3.5 Flash Lite measured
Terminal-Bench 4 (Vals AI)	19.7%	Not measured	Only DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)	84.7%	37.2%	DeepSeek V4.1 Flash
Code migration (Vals AI)	45.6%	6.2%	DeepSeek V4.1 Flash
ProgramBench (Vals AI)	0.5%	0.0%	DeepSeek V4.1 Flash
IOI (Vals AI)	40.3%	Not measured	Only DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)	74.5%	50.2%	DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)	46.5%	Not measured	Only DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)	16.4%	Not measured	Only DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)	69.8%	Not measured	Only DeepSeek V4.1 Flash measured
CyberBench (Vals AI)	73.7%	59.1%	DeepSeek V4.1 Flash
SciCode	51.9%	41.3%	DeepSeek V4.1 Flash
FrontierCode	43.9%	Not measured	Only DeepSeek V4.1 Flash measured
WeirdML	Not measured	39.0%	Only Gemini 3.5 Flash Lite measured
ALE-Bench	1092.3	765.3	DeepSeek V4.1 Flash
LMArena Text: coding	1502	1453	DeepSeek V4.1 Flash
LMArena Text: software and IT	1496	1451	DeepSeek V4.1 Flash
LMArena WebDev: React	1628	1408	DeepSeek V4.1 Flash
LMArena WebDev: HTML	1612	Not measured	Only DeepSeek V4.1 Flash measured
LMArena WebDev: from an image	1606	1448	DeepSeek V4.1 Flash
SciCode	Not measured	6.2%	Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 14 boards here

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

Intelligence benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
AA Intelligence Index	24.7	22.2	DeepSeek V4.1 Flash
Epoch Capabilities Index	155.9	144.9	DeepSeek V4.1 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index50

Agentic work benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
AA Agentic Index	Not measured	14.3	Only Gemini 3.5 Flash Lite measured
LiveBench research	86.8%	Not measured	Only DeepSeek V4.1 Flash measured
LiveBench browser	84.0%	Not measured	Only DeepSeek V4.1 Flash measured
LiveBench long agentic	40.1%	Not measured	Only DeepSeek V4.1 Flash measured
SREBench (Vals AI)	0.8%	Not measured	Only DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)	53.5%	47.4%	DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)	26.6%	7.2%	DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)	41.4%	13.9%	DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)	57.2%	43.2%	DeepSeek V4.1 Flash
BioMysteryBench (Vals AI)	67.8%	Not measured	Only DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)	0.0%	Not measured	Only DeepSeek V4.1 Flash measured
Vals Science Index	29.6%	Not measured	Only DeepSeek V4.1 Flash measured
APEX-Agents	39.5%	29.3%	DeepSeek V4.1 Flash
Neither model has a result on the other 28 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index110

Reasoning benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
GPQA Diamond	Not measured	83.8%	Only Gemini 3.5 Flash Lite measured
LiveBench reasoning	86.7%	Not measured	Only DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)	21.2%	Not measured	Only DeepSeek V4.1 Flash measured
MMMU Pro (Vals AI)	Not measured	83.6%	Only Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)	Not measured	83.8%	Only Gemini 3.5 Flash Lite measured
Humanity's Last Exam (Artificial Analysis run)	39.2%	18.8%	DeepSeek V4.1 Flash
GPQA Diamond (Epoch AI run)	89.8%	83.3%	DeepSeek V4.1 Flash
ARC-AGI	94.5%	53.5%	DeepSeek V4.1 Flash
ARC-AGI-2	72.9%	10.3%	DeepSeek V4.1 Flash
Chess puzzles	48.0%	21.0%	DeepSeek V4.1 Flash
Mystery game puzzles	43.0%	19.0%	DeepSeek V4.1 Flash
LMArena Text: hard prompts	1483	1441	DeepSeek V4.1 Flash
LMArena Text: expert	1501	1434	DeepSeek V4.1 Flash
LMArena Text: hard prompts in English	1488	1440	DeepSeek V4.1 Flash
LMArena Vision: diagrams	1297	1284	DeepSeek V4.1 Flash
LMArena Vision: homework	1307	1291	DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index60

Math benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
OTIS Mock AIME	98.3%	71.1%	DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 3	67.4%	26.0%	DeepSeek V4.1 Flash
FrontierMath, tier 4	26.8%	0.0%	DeepSeek V4.1 Flash
ProofBench	54.0%	13.0%	DeepSeek V4.1 Flash
LMArena Text: math	1478	1434	DeepSeek V4.1 Flash
LMArena Text: mathematical work	1485	1433	DeepSeek V4.1 Flash
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42

Knowledge benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
MMLU Pro	Not measured	85.8%	Only Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)	83.3%	84.1%	Gemini 3.5 Flash Lite
CorpFin (Vals AI)	Not measured	60.7%	Only Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)	Not measured	72.6%	Only Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)	Not measured	68.7%	Only Gemini 3.5 Flash Lite measured
MedCode (Vals AI)	41.2%	43.5%	Gemini 3.5 Flash Lite
SimpleQA Verified	42.9%	Not measured	Only DeepSeek V4.1 Flash measured
LMArena Text: science	1469	1451	DeepSeek V4.1 Flash
LMArena Text: medicine and healthcare	1484	1438	DeepSeek V4.1 Flash
LMArena Text: legal and government	1443	1431	DeepSeek V4.1 Flash
LMArena Text: business and finance	1461	1423	DeepSeek V4.1 Flash
FACTS Benchmark Suite	Not measured	53.5%	Only Gemini 3.5 Flash Lite measured
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 DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
Design Arena: websites	1309	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: UI components	1315	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: game dev	1330	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: data viz	1290	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: 3D	1356	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: all code categories	1320	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: SVG	1244	Not measured	Only DeepSeek V4.1 Flash measured
Design Arena: ASCII art	1265	Not measured	Only DeepSeek V4.1 Flash measured
LiveBench design	79.2%	Not measured	Only DeepSeek V4.1 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index281

General benchmarks for DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	Leader
LiveBench data analysis	79.3%	Not measured	Only DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)	64.3%	51.8%	DeepSeek V4.1 Flash
SAGE (Vals AI)	47.9%	47.3%	DeepSeek V4.1 Flash
MedScribe (Vals AI)	85.5%	70.9%	DeepSeek V4.1 Flash
Long context reasoning (AA-LCR)	84.0%	76.0%	DeepSeek V4.1 Flash
DTBench	89.9%	83.5%	DeepSeek V4.1 Flash
LMCA	47.0%	37.6%	DeepSeek V4.1 Flash
Surface Evolver Bench	46.3%	Not measured	Only DeepSeek V4.1 Flash measured
Furniture assembly	34.2%	Not measured	Only DeepSeek V4.1 Flash measured
LMArena Text	1464	1435	DeepSeek V4.1 Flash
LMArena Text: instruction following	1473	1419	DeepSeek V4.1 Flash
LMArena Text: creative writing	1437	1421	DeepSeek V4.1 Flash
LMArena Vision	1278	1269	DeepSeek V4.1 Flash
LMArena Text: English	1473	1438	DeepSeek V4.1 Flash
LMArena Text: non-English	1449	1427	DeepSeek V4.1 Flash
LMArena Text: Chinese	1501	1468	DeepSeek V4.1 Flash
LMArena Text: German	1470	1454	DeepSeek V4.1 Flash
LMArena Text: Japanese	1432	1426	DeepSeek V4.1 Flash
LMArena Text: Korean	1436	1407	DeepSeek V4.1 Flash
LMArena Text: French	1465	1451	DeepSeek V4.1 Flash
LMArena Text: Spanish	1459	1441	DeepSeek V4.1 Flash
LMArena Text: Russian	1467	1443	DeepSeek V4.1 Flash
LMArena Text: Polish	1457	1437	DeepSeek V4.1 Flash
LMArena Text: multi-turn	1461	1445	DeepSeek V4.1 Flash
LMArena Text: longer queries	1473	1435	DeepSeek V4.1 Flash
LMArena Text: writing and language	1450	1428	DeepSeek V4.1 Flash
LMArena Text: entertainment and media	1445	1414	DeepSeek V4.1 Flash
LMArena Vision: English	1288	1269	DeepSeek V4.1 Flash
LMArena Vision: Chinese	1327	1311	DeepSeek V4.1 Flash
LMArena Vision: reading text	1282	1280	DeepSeek V4.1 Flash
LMArena Vision: humor	1260	1287	Gemini 3.5 Flash Lite
LMArena Vision: creative writing	1275	1260	DeepSeek V4.1 Flash
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 DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Benchmark	DeepSeek V4.1 Flash	Gemini 3.5 Flash Lite	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

DeepSeek V4.1 Flash$0.0006Fits in one request

Gemini 3.5 Flash Lite$0.0015Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.013Fits in one request

Gemini 3.5 Flash Lite$0.022Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.050Fits in one request

Gemini 3.5 Flash Lite$0.085Fits in one request

DeepSeek V4.1 Flash 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 DeepSeek V4.1 Flash and Gemini 3.5 Flash Lite
Specification	DeepSeek V4.1 Flash	Google Gemini 3.5 Flash Lite
Maker	DeepSeek	Google
Weights	Open weights	No public weights listed
Released	September 10, 2026	July 21, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.21	$0.30
Output $/Mtok	$0.78	$2.50
Coding index	62.5	49.0
Independent measurements behind it	5	3
Cost per solved task	Not computable	$0.41
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than Gemini 3.5 Flash Lite for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for work measured by LegalBench (Vals AI) or MedCode (Vals AI), where it leads.

Which is cheaper, DeepSeek V4.1 Flash or Gemini 3.5 Flash Lite?

DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.78 per million output tokens; Gemini 3.5 Flash Lite costs $0.30 and $2.50. Cost per solved task is known for Gemini 3.5 Flash Lite only.

Which has the bigger context window, DeepSeek V4.1 Flash or Gemini 3.5 Flash Lite?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4.1 Flash vs Gemini 3.5 Flash Lite comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and Gemini 3.5 Flash Lite's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/deepseek-v4-1-flash-vs-gemini-3-5-flash-lite" title="DeepSeek V4.1 Flash vs Gemini 3.5 Flash Lite, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-1-flash-vs-gemini-3-5-flash-lite">LLMBenchmark.ai, DeepSeek V4.1 Flash vs Gemini 3.5 Flash Lite</a></p>

DeepSeek V4.1 Flash or Gemini 3.5 Flash Lite: 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

Compare next