DeepSeek V4 Pro 0423 vs Gemini 3.1 Pro Preview

DeepSeek V4 Pro 0423 leads Gemini 3.1 Pro Preview on coding, 38.7 to 32.3 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 4.0x less per output token ($2.976 vs $12.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace Gemini 3.1 Pro Preview

DeepSeek V4 Pro 0423DeepSeek

Coding: 38.7
Overall: 50.0
Output $/M: $2.976

Gemini 3.1 Pro PreviewGoogle

Coding: 32.3
Overall: 54.0
Output $/M: $12.00

vs boards won of 79 shared, 1 tied

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

Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview.

Pick Gemini 3.1 Pro Preview for work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task Model BGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task

79554

Shared results: 79
DeepSeek V4 Pro 0423 only: 5
Gemini 3.1 Pro Preview only: 54
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 32.3.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 30.4 against 29.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 26.3 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 89.4%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 87.3%.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 1234 against 1233.
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
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.0028, Gemini 3.1 Pro Preview $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.57, Gemini 3.1 Pro Preview $0.99.
Published attempt cost and pass rate

At a glance

Coding index: DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Gemini 3.1 Pro Preview 32.3 from 4 benchmarks.
Widest category: Agentic work, 11.8 points apart on average over 9 shared benchmarks.
Widest single gap: Chess puzzles: DeepSeek V4 Pro 0423 19.0% against Gemini 3.1 Pro Preview 51.0%, 32.0 points apart on a 0 to 100 scale.
Output price: DeepSeek V4 Pro 0423 $2.976 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 4.0x 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 Pro Preview	Ties
Coding	5	9	1 tie
Intelligence	1	0
Agentic work	5	4
Reasoning	0	7
Math	1	5
Knowledge	0	11
Web design	4	4
General	1	21
All shared boards	17	61	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index59

Coding benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
LMArena WebDev	1447	1447	DeepSeek V4 Pro 0423
AA Coding Index	59.4	68.8	Gemini 3.1 Pro Preview
LiveCodeBench (Vals AI)	87.5%	88.5%	Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)	77.4%	78.8%	Gemini 3.1 Pro Preview
Terminal-Bench 4 (Vals AI)	11.1%	2.5%	DeepSeek V4 Pro 0423
Vibe Code Bench (Vals AI)	49.9%	32.0%	DeepSeek V4 Pro 0423
Code migration (Vals AI)	26.2%	17.3%	DeepSeek V4 Pro 0423
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	Not measured	51.8%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)	50.2%	70.8%	Gemini 3.1 Pro Preview
Vibe Code Bench 1-100 (Vals AI)	Not measured	6.7%	Only Gemini 3.1 Pro Preview measured
SkillsBench (Vals AI)	51.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
SciCode	Not measured	58.7%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	53.8%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench	Not measured	80.2%	Only Gemini 3.1 Pro Preview measured
FrontierCode	17.6%	Not measured	Only DeepSeek V4 Pro 0423 measured
GSO-Bench	Not measured	22.6%	Only Gemini 3.1 Pro Preview measured
WeirdML	48.9%	72.1%	Gemini 3.1 Pro Preview
MirrorCode	Not measured	8.9%	Only Gemini 3.1 Pro Preview measured
ALE-Bench	1006.1	1160.6	Gemini 3.1 Pro Preview
LMArena Text: coding	1470	1484	Gemini 3.1 Pro Preview
LMArena Text: software and IT	1469	1487	Gemini 3.1 Pro Preview
LMArena WebDev: React	1441	1438	DeepSeek V4 Pro 0423
LMArena WebDev: HTML	1435	1490	Gemini 3.1 Pro Preview
LMArena WebDev: from an image	Not measured	1481	Only Gemini 3.1 Pro Preview measured
SciCode	Not measured	14.3%	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 13 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 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
AA Intelligence Index	30.4	29.7	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 index54

Agentic work benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
AA Agentic Index	26.3	8.2	DeepSeek V4 Pro 0423
Design Arena: agents building web apps	1000	1125	Gemini 3.1 Pro Preview
Design Arena: agents building full-stack apps	948	1068	Gemini 3.1 Pro Preview
Design Arena: agents building mobile apps	Not measured	1094	Only Gemini 3.1 Pro Preview measured
Design Arena: agents building Android apps	Not measured	1049	Only Gemini 3.1 Pro Preview measured
Design Arena: agents building Godot games	1059	1236	Gemini 3.1 Pro Preview
Design Arena: agents building games	Not measured	1113	Only Gemini 3.1 Pro Preview measured
Design Arena: HTML slides	Not measured	1103	Only Gemini 3.1 Pro Preview measured
Design Arena: PowerPoint slides	Not measured	1041	Only Gemini 3.1 Pro Preview measured
SREBench (Vals AI)	Not measured	0.0%	Only Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)	44.1%	43.0%	DeepSeek V4 Pro 0423
Tax Agent Bench (Vals AI)	25.2%	9.3%	DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)	23.1%	20.7%	DeepSeek V4 Pro 0423
Excel Modeling Benchmark (Vals AI)	51.6%	52.6%	Gemini 3.1 Pro Preview
BioMysteryBench (Vals AI)	Not measured	60.0%	Only Gemini 3.1 Pro Preview measured
Terminal-Bench-Science (Vals AI)	Not measured	1.4%	Only Gemini 3.1 Pro Preview measured
Vals Science Index	Not measured	27.4%	Only Gemini 3.1 Pro Preview measured
τ²-Bench Telecom	Not measured	95.6%	Only Gemini 3.1 Pro Preview measured
APEX-Agents	Not measured	35.1%	Only Gemini 3.1 Pro Preview measured
METR time horizons	Not measured	77.0%	Only Gemini 3.1 Pro Preview measured
BALROG	Not measured	57.0%	Only Gemini 3.1 Pro Preview measured
DeepResearch Bench	Not measured	47.8%	Only Gemini 3.1 Pro Preview measured
PostTrainBench	Not measured	22.0%	Only Gemini 3.1 Pro Preview measured
Vending-Bench 2	$3,285	$911	DeepSeek V4 Pro 0423
Neither model has a result on the other 17 boards here

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

Reasoning benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
GPQA Diamond	89.4%	95.5%	Gemini 3.1 Pro Preview
MysteryMechanism (Vals AI)	Not measured	20.7%	Only Gemini 3.1 Pro Preview measured
MMMU Pro (Vals AI)	Not measured	88.2%	Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Artificial Analysis run)	Not measured	94.1%	Only Gemini 3.1 Pro Preview measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	47.0%	Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Epoch AI run)	90.9%	94.4%	Gemini 3.1 Pro Preview
ARC-AGI	Not measured	98.0%	Only Gemini 3.1 Pro Preview measured
ARC-AGI-2	Not measured	77.1%	Only Gemini 3.1 Pro Preview measured
SimpleBench	Not measured	79.6%	Only Gemini 3.1 Pro Preview measured
Chess puzzles	19.0%	51.0%	Gemini 3.1 Pro Preview
Mystery game puzzles	17.0%	34.0%	Gemini 3.1 Pro Preview
EBR-bench	Not measured	14.3%	Only Gemini 3.1 Pro Preview measured
LMArena Text: hard prompts	1461	1485	Gemini 3.1 Pro Preview
LMArena Text: expert	1463	1483	Gemini 3.1 Pro Preview
LMArena Text: hard prompts in English	1466	1480	Gemini 3.1 Pro Preview
LMArena Vision: diagrams	Not measured	1311	Only Gemini 3.1 Pro Preview measured
LMArena Vision: homework	Not measured	1316	Only Gemini 3.1 Pro Preview measured
Kagi LLM Benchmark	53.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 4 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index15

Math benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
AIME	Not measured	98.1%	Only Gemini 3.1 Pro Preview measured
OTIS Mock AIME	96.7%	95.6%	DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 3	45.3%	59.6%	Gemini 3.1 Pro Preview
FrontierMath, tier 4	2.4%	26.8%	Gemini 3.1 Pro Preview
ProofBench	16.0%	26.0%	Gemini 3.1 Pro Preview
LMArena Text: math	1443	1486	Gemini 3.1 Pro Preview
LMArena Text: mathematical work	1455	1478	Gemini 3.1 Pro Preview
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011

Knowledge benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
MMLU Pro	87.3%	91.0%	Gemini 3.1 Pro Preview
LegalBench (Vals AI)	80.3%	87.4%	Gemini 3.1 Pro Preview
CaseLaw (Vals AI)	59.4%	64.8%	Gemini 3.1 Pro Preview
CorpFin (Vals AI)	61.4%	64.5%	Gemini 3.1 Pro Preview
TaxEval (Vals AI)	72.1%	72.9%	Gemini 3.1 Pro Preview
MortgageTax (Vals AI)	Not measured	69.4%	Only Gemini 3.1 Pro Preview measured
MedQA (Vals AI)	Not measured	96.4%	Only Gemini 3.1 Pro Preview measured
MedCode (Vals AI)	40.5%	59.1%	Gemini 3.1 Pro Preview
SimpleQA Verified	47.0%	73.5%	Gemini 3.1 Pro Preview
LMArena Text: science	1470	1497	Gemini 3.1 Pro Preview
LMArena Text: medicine and healthcare	1466	1486	Gemini 3.1 Pro Preview
LMArena Text: legal and government	1464	1487	Gemini 3.1 Pro Preview
LMArena Text: business and finance	1443	1459	Gemini 3.1 Pro Preview
FACTS Benchmark Suite	Not measured	67.4%	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index44

Web design benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
Design Arena: websites	1234	1233	DeepSeek V4 Pro 0423
Design Arena: UI components	1219	1224	Gemini 3.1 Pro Preview
Design Arena: game dev	1228	1202	DeepSeek V4 Pro 0423
Design Arena: data viz	1203	1209	Gemini 3.1 Pro Preview
Design Arena: 3D	1253	1234	DeepSeek V4 Pro 0423
Design Arena: all code categories	1240	1231	DeepSeek V4 Pro 0423
Design Arena: SVG	1139	1285	Gemini 3.1 Pro Preview
Design Arena: ASCII art	1149	1270	Gemini 3.1 Pro Preview
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index121

General benchmarks for DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro Preview	Leader
Public Benefits Bench (Vals AI)	62.9%	53.8%	DeepSeek V4 Pro 0423
SAGE (Vals AI)	Not measured	48.7%	Only Gemini 3.1 Pro Preview measured
MedScribe (Vals AI)	75.1%	76.1%	Gemini 3.1 Pro Preview
Vals Multimodal Index	Not measured	56.1%	Only Gemini 3.1 Pro Preview measured
IFBench	Not measured	77.1%	Only Gemini 3.1 Pro Preview measured
Long context reasoning (AA-LCR)	Not measured	82.0%	Only Gemini 3.1 Pro Preview measured
DTBench	90.7%	97.1%	Gemini 3.1 Pro Preview
LMCA	41.2%	53.8%	Gemini 3.1 Pro Preview
CL-bench	Not measured	20.8%	Only Gemini 3.1 Pro Preview measured
Surface Evolver Bench	40.0%	Not measured	Only DeepSeek V4 Pro 0423 measured
Furniture assembly	Not measured	26.7%	Only Gemini 3.1 Pro Preview measured
ExploitBench	Not measured	26.1%	Only Gemini 3.1 Pro Preview measured
CL-bench Life	13.5%	16.9%	Gemini 3.1 Pro Preview
LMArena Text	1451	1480	Gemini 3.1 Pro Preview
LMArena Text: instruction following	1445	1466	Gemini 3.1 Pro Preview
LMArena Text: creative writing	1446	1482	Gemini 3.1 Pro Preview
LMArena Vision	Not measured	1296	Only Gemini 3.1 Pro Preview measured
LMArena Text: English	1459	1478	Gemini 3.1 Pro Preview
LMArena Text: non-English	1439	1476	Gemini 3.1 Pro Preview
LMArena Text: Chinese	1481	1527	Gemini 3.1 Pro Preview
LMArena Text: German	1458	1490	Gemini 3.1 Pro Preview
LMArena Text: Japanese	1446	1491	Gemini 3.1 Pro Preview
LMArena Text: Korean	1409	1455	Gemini 3.1 Pro Preview
LMArena Text: French	1473	1487	Gemini 3.1 Pro Preview
LMArena Text: Spanish	1457	1481	Gemini 3.1 Pro Preview
LMArena Text: Russian	1453	1497	Gemini 3.1 Pro Preview
LMArena Text: Polish	1461	1498	Gemini 3.1 Pro Preview
LMArena Text: multi-turn	1468	1487	Gemini 3.1 Pro Preview
LMArena Text: longer queries	1458	1482	Gemini 3.1 Pro Preview
LMArena Text: writing and language	1447	1481	Gemini 3.1 Pro Preview
LMArena Text: entertainment and media	1431	1465	Gemini 3.1 Pro Preview
LMArena Vision: English	Not measured	1287	Only Gemini 3.1 Pro Preview measured
LMArena Vision: Chinese	Not measured	1364	Only Gemini 3.1 Pro Preview measured
LMArena Vision: reading text	Not measured	1304	Only Gemini 3.1 Pro Preview measured
LMArena Vision: humor	Not measured	1322	Only Gemini 3.1 Pro Preview measured
LMArena Vision: captioning	Not measured	1345	Only Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing things	Not measured	1330	Only Gemini 3.1 Pro Preview measured
LMArena Vision: creative writing	Not measured	1324	Only Gemini 3.1 Pro Preview measured
LMArena Document	Not measured	1444	Only Gemini 3.1 Pro Preview 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 DeepSeek V4 Pro 0423 and Gemini 3.1 Pro Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3.1 Pro 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$0.0028Fits in one request

Gemini 3.1 Pro Preview$0.0080Fits in one request

DeepSeek V4 Pro 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.077Fits in one request

Gemini 3.1 Pro Preview$0.136Fits in one request

DeepSeek V4 Pro 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.301Fits in one request

Gemini 3.1 Pro Preview$0.520Fits in one request

DeepSeek V4 Pro 0423 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 Pro Preview
Specification	DeepSeek V4 Pro 0423	Google Gemini 3.1 Pro Preview
Maker	DeepSeek	Google
Weights	Open weights	No public weights listed
Released	April 24, 2026	February 19, 2026
Context window	1.05M	1.05M
Input $/Mtok	$1.358	$2.00
Output $/Mtok	$2.976	$12.00
Coding index	38.7	32.3
Independent measurements behind it	5	4
Cost per solved task	$0.57	$0.99
Source	OpenRouter listing	OpenRouter listing

Questions

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

Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview for work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

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

DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; Gemini 3.1 Pro Preview costs $2.00 and $12.00. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and Gemini 3.1 Pro Preview $0.99.

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

Neither: both take 1.05M tokens.

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

79 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Gemini 3.1 Pro Preview's on 4. 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 Pro 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