DeepSeek V4 Pro 0423 vs Gemini 3.1 Flash Lite Preview

DeepSeek V4 Pro 0423 leads Gemini 3.1 Flash Lite Preview on coding, 38.7 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 1.8x less per output token ($1.50 vs $2.716 per million). Updated October 21, 2026; 61 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace Gemini 3.1 Flash Lite Preview

DeepSeek V4 Pro 0423DeepSeek

Coding: 38.7
Overall: 50.0
Output $/M: $2.716

Gemini 3.1 Flash Lite PreviewGoogle

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

vs boards won of 61 shared, 1 tied

DeepSeek V4 Pro 0423 or Gemini 3.1 Flash Lite Preview: which to pick

Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 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 1.8x cheaper ($1.50 vs $2.716 per million) and a lower cost per solved task ($0.18 against $0.57).

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task Model BGemini 3.1 Flash Lite PreviewGoogle22.7/1003 independent benchmarks$0.18 per solved task

612318

Shared results: 61
DeepSeek V4 Pro 0423 only: 23
Gemini 3.1 Flash Lite Preview only: 18
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
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 scores 38.7 against 22.7.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 30.4 against 15.6.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 26.3 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 89.4% 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
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 87.3% against 86.2%.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 1234 against 1083.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Flash Lite Preview
DeepSeek V4 Pro 0423 $0.0026, Gemini 3.1 Flash Lite Preview $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3.1 Flash Lite Preview
DeepSeek V4 Pro 0423 $0.57, Gemini 3.1 Flash Lite Preview $0.18.
Published attempt cost and pass rate

At a glance

Coding index: DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Gemini 3.1 Flash Lite Preview 22.7 from 3 benchmarks.
Widest category: Agentic work, 24.7 points apart on average over 5 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0423 49.9% against Gemini 3.1 Flash Lite Preview 0.0%, 49.9 points apart on a 0 to 100 scale.
Output price: DeepSeek V4 Pro 0423 $2.716 against Gemini 3.1 Flash Lite Preview $1.50 per million output tokens, 1.8x 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 Pro 0423	Gemini 3.1 Flash Lite Preview	Ties
Coding	12	0	1 tie
Intelligence	1	0
Agentic work	5	0
Reasoning	4	0
Math	2	0
Knowledge	8	2
Web design	7	1
General	18	0
All shared boards	57	3	1 tie

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

Coding benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
LMArena WebDev	1447	1257	DeepSeek V4 Pro 0423
AA Coding Index	59.4	34.7	DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)	87.5%	80.1%	DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)	77.4%	62.8%	DeepSeek V4 Pro 0423
Terminal-Bench 4 (Vals AI)	11.1%	Not measured	Only DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)	49.9%	0.0%	DeepSeek V4 Pro 0423
Code migration (Vals AI)	26.2%	4.6%	DeepSeek V4 Pro 0423
ProgramBench (Vals AI)	0.0%	0.0%	Tie
Terminal-Bench 2.1 (Vals AI)	50.2%	34.1%	DeepSeek V4 Pro 0423
SkillsBench (Vals AI)	51.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
FrontierCode	17.6%	Not measured	Only DeepSeek V4 Pro 0423 measured
WeirdML	48.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
ALE-Bench	1006.1	797.7	DeepSeek V4 Pro 0423
LMArena Text: coding	1470	1400	DeepSeek V4 Pro 0423
LMArena Text: software and IT	1469	1413	DeepSeek V4 Pro 0423
LMArena WebDev: React	1441	1245	DeepSeek V4 Pro 0423
LMArena WebDev: HTML	1435	1276	DeepSeek V4 Pro 0423
LMArena WebDev: from an image	Not measured	1336	Only Gemini 3.1 Flash Lite Preview measured
SciCode	Not measured	4.6%	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 20 boards here

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

Intelligence benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
AA Intelligence Index	30.4	15.6	DeepSeek V4 Pro 0423
Epoch Capabilities Index	149.1	Not measured	Only DeepSeek V4 Pro 0423 measured

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

Agentic work benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
AA Agentic Index	26.3	1.6	DeepSeek V4 Pro 0423
Design Arena: agents building web apps	1000	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps	948	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games	1059	Not measured	Only DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)	44.1%	30.0%	DeepSeek V4 Pro 0423
Tax Agent Bench (Vals AI)	25.2%	3.1%	DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)	23.1%	3.4%	DeepSeek V4 Pro 0423
Excel Modeling Benchmark (Vals AI)	51.6%	8.6%	DeepSeek V4 Pro 0423
Vending-Bench 2	$3,285	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 32 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index40

Reasoning benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
GPQA Diamond	89.4%	81.1%	DeepSeek V4 Pro 0423
MMMU Pro (Vals AI)	Not measured	82.5%	Only Gemini 3.1 Flash Lite Preview measured
GPQA Diamond (Epoch AI run)	90.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
Chess puzzles	19.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
Mystery game puzzles	17.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts	1461	1407	DeepSeek V4 Pro 0423
LMArena Text: expert	1463	1398	DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English	1466	1403	DeepSeek V4 Pro 0423
LMArena Vision: diagrams	Not measured	1242	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: homework	Not measured	1271	Only Gemini 3.1 Flash Lite Preview measured
Kagi LLM Benchmark	53.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 11 boards here

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

Math benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
AIME	Not measured	83.3%	Only Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIME	96.7%	Not measured	Only DeepSeek V4 Pro 0423 measured
FrontierMath, tiers 1 to 3	45.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
FrontierMath, tier 4	2.4%	Not measured	Only DeepSeek V4 Pro 0423 measured
ProofBench	16.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: math	1443	1428	DeepSeek V4 Pro 0423
LMArena Text: mathematical work	1455	1417	DeepSeek V4 Pro 0423
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82

Knowledge benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
MMLU Pro	87.3%	86.2%	DeepSeek V4 Pro 0423
LegalBench (Vals AI)	80.3%	83.8%	Gemini 3.1 Flash Lite Preview
CaseLaw (Vals AI)	59.4%	55.0%	DeepSeek V4 Pro 0423
CorpFin (Vals AI)	61.4%	59.4%	DeepSeek V4 Pro 0423
TaxEval (Vals AI)	72.1%	71.8%	DeepSeek V4 Pro 0423
MortgageTax (Vals AI)	Not measured	68.0%	Only Gemini 3.1 Flash Lite Preview measured
MedCode (Vals AI)	40.5%	47.6%	Gemini 3.1 Flash Lite Preview
SimpleQA Verified	47.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: science	1470	1425	DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare	1466	1428	DeepSeek V4 Pro 0423
LMArena Text: legal and government	1464	1418	DeepSeek V4 Pro 0423
LMArena Text: business and finance	1443	1389	DeepSeek V4 Pro 0423
FACTS Benchmark Suite	Not measured	51.4%	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 5 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index71

Web design benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
Design Arena: websites	1234	1083	DeepSeek V4 Pro 0423
Design Arena: UI components	1222	1072	DeepSeek V4 Pro 0423
Design Arena: game dev	1229	1029	DeepSeek V4 Pro 0423
Design Arena: data viz	1203	1045	DeepSeek V4 Pro 0423
Design Arena: 3D	1254	1048	DeepSeek V4 Pro 0423
Design Arena: all code categories	1240	1072	DeepSeek V4 Pro 0423
Design Arena: SVG	1140	1052	DeepSeek V4 Pro 0423
Design Arena: ASCII art	1149	1167	Gemini 3.1 Flash Lite Preview
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index180

General benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	Leader
Public Benefits Bench (Vals AI)	62.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)	Not measured	49.5%	Only Gemini 3.1 Flash Lite Preview measured
MedScribe (Vals AI)	75.1%	63.9%	DeepSeek V4 Pro 0423
Vals Multimodal Index	Not measured	41.4%	Only Gemini 3.1 Flash Lite Preview measured
DTBench	90.7%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMCA	41.2%	Not measured	Only DeepSeek V4 Pro 0423 measured
Surface Evolver Bench	40.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
CL-bench Life	13.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text	1451	1416	DeepSeek V4 Pro 0423
LMArena Text: instruction following	1445	1377	DeepSeek V4 Pro 0423
LMArena Text: creative writing	1446	1401	DeepSeek V4 Pro 0423
LMArena Vision	Not measured	1240	Only Gemini 3.1 Flash Lite Preview measured
LMArena Text: English	1459	1414	DeepSeek V4 Pro 0423
LMArena Text: non-English	1439	1410	DeepSeek V4 Pro 0423
LMArena Text: Chinese	1481	1460	DeepSeek V4 Pro 0423
LMArena Text: German	1458	1430	DeepSeek V4 Pro 0423
LMArena Text: Japanese	1446	1413	DeepSeek V4 Pro 0423
LMArena Text: Korean	1409	1392	DeepSeek V4 Pro 0423
LMArena Text: French	1473	1424	DeepSeek V4 Pro 0423
LMArena Text: Spanish	1457	1421	DeepSeek V4 Pro 0423
LMArena Text: Russian	1453	1420	DeepSeek V4 Pro 0423
LMArena Text: Polish	1461	1443	DeepSeek V4 Pro 0423
LMArena Text: multi-turn	1468	1417	DeepSeek V4 Pro 0423
LMArena Text: longer queries	1458	1394	DeepSeek V4 Pro 0423
LMArena Text: writing and language	1447	1408	DeepSeek V4 Pro 0423
LMArena Text: entertainment and media	1431	1386	DeepSeek V4 Pro 0423
LMArena Vision: English	Not measured	1232	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: Chinese	Not measured	1278	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: reading text	Not measured	1246	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: humor	Not measured	1266	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: captioning	Not measured	1259	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things	Not measured	1308	Only Gemini 3.1 Flash Lite Preview measured
LMArena Vision: creative writing	Not measured	1248	Only Gemini 3.1 Flash Lite Preview measured
Neither model has a result on the other 13 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Flash Lite Preview	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 Pro 0423$0.0026Fits in one request

Gemini 3.1 Flash Lite Preview$0.0010Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.069Fits in one request

Gemini 3.1 Flash Lite Preview$0.017Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.272Fits in one request

Gemini 3.1 Flash Lite Preview$0.065Fits 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 DeepSeek V4 Pro 0423 and Gemini 3.1 Flash Lite Preview
Specification	DeepSeek V4 Pro 0423	Google Gemini 3.1 Flash Lite Preview
Maker	DeepSeek	Google
Weights	Open weights	No public weights listed
Released	April 24, 2026	March 3, 2026
Context window	1.05M	1.05M
Input $/Mtok	$1.225	$0.25
Output $/Mtok	$2.716	$1.50
Coding index	38.7	22.7
Independent measurements behind it	5	3
Cost per solved task	$0.57	$0.18
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than Gemini 3.1 Flash Lite Preview for coding?

Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 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 1.8x cheaper ($1.50 vs $2.716 per million) and a lower cost per solved task ($0.18 against $0.57).

Which is cheaper, DeepSeek V4 Pro 0423 or Gemini 3.1 Flash Lite Preview?

DeepSeek V4 Pro 0423 costs $1.225 per million input tokens and $2.716 per million output tokens; Gemini 3.1 Flash Lite Preview costs $0.25 and $1.50. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and Gemini 3.1 Flash Lite Preview $0.18.

Which has the bigger context window, DeepSeek V4 Pro 0423 or Gemini 3.1 Flash Lite Preview?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Pro 0423 vs Gemini 3.1 Flash Lite Preview comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Gemini 3.1 Flash Lite Preview's on 3. Where only one model has a result, the page says so instead of naming a winner.

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DeepSeek V4 Pro 0423 or Gemini 3.1 Flash Lite Preview: 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