DeepSeek V4 Pro 0423 vs Gemini 3 Flash Preview

Gemini 3 Flash Preview leads DeepSeek V4 Pro 0423 on coding, 43.7 to 38.7 on the Vibe Coding Index, at about the same output price ($3.00 vs $2.716 per million). Updated October 21, 2026; 39 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace Gemini 3 Flash Preview

DeepSeek V4 Pro 0423DeepSeek

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

Gemini 3 Flash PreviewGoogle

Coding: 43.7
Overall: 55.0
Output $/M: $3.00

vs boards won of 39 shared, 1 tied

DeepSeek V4 Pro 0423 or Gemini 3 Flash Preview: which to pick

Pick Gemini 3 Flash Preview for coding: it scores 43.7 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 2 benchmarks against 5.

Pick DeepSeek V4 Pro 0423 for output tokens 1.1x cheaper ($2.716 vs $3.00 per million) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task Model BGemini 3 Flash PreviewGoogle43.7/1002 independent benchmarks$0.37 per solved task

394532

Shared results: 39
DeepSeek V4 Pro 0423 only: 45
Gemini 3 Flash Preview only: 32
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
Gemini 3 Flash Preview
Gemini 3 Flash Preview scores 43.7 against 38.7.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 30.4 against 26.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0423 has a AA Agentic Index result, 26.3.
Directional only
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 89.4% against 87.9%.
Same board, both measured
Math
AIME
No call
Only Gemini 3 Flash Preview has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
Gemini 3 Flash Preview
Gemini 3 Flash Preview leads, 88.6% against 87.3%.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 1234 against 1196.
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 Flash Preview
DeepSeek V4 Pro 0423 $0.0026, Gemini 3 Flash Preview $0.0020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 3 Flash Preview
DeepSeek V4 Pro 0423 $0.57, Gemini 3 Flash Preview $0.37.
Published attempt cost and pass rate

At a glance

Coding index: DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Gemini 3 Flash Preview 43.7 from 2 benchmarks.
Widest category: Agentic work, 11.0 points apart on average over 8 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0423 49.9% against Gemini 3 Flash Preview 20.2%, 29.7 points apart on a 0 to 100 scale.
Output price: DeepSeek V4 Pro 0423 $2.716 against Gemini 3 Flash Preview $3.00 per million output tokens, 1.1x 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 Flash Preview	Ties
Coding	4	3	1 tie
Intelligence	1	0
Agentic work	4	4
Reasoning	2	2
Math	2	2
Knowledge	1	6
Web design	4	0
General	2	1
All shared boards	20	18	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index43

Coding benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
SWE-bench Verified	Not measured	75.8%	Only Gemini 3 Flash Preview measured
LMArena WebDev	1447	Not measured	Only DeepSeek V4 Pro 0423 measured
AA Coding Index	59.4	Not measured	Only DeepSeek V4 Pro 0423 measured
LiveCodeBench (Vals AI)	87.5%	85.6%	DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)	77.4%	75.0%	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%	20.2%	DeepSeek V4 Pro 0423
Code migration (Vals AI)	26.2%	6.4%	DeepSeek V4 Pro 0423
ProgramBench (Vals AI)	0.0%	0.0%	Tie
Terminal-Bench 2.1 (Vals AI)	50.2%	53.9%	Gemini 3 Flash Preview
SkillsBench (Vals AI)	51.3%	Not measured	Only DeepSeek V4 Pro 0423 measured
LiveCodeBench (Artificial Analysis run)	Not measured	90.8%	Only Gemini 3 Flash Preview measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	38.6%	Only Gemini 3 Flash Preview measured
Terminal-Bench	Not measured	64.3%	Only Gemini 3 Flash Preview measured
FrontierCode	17.6%	Not measured	Only DeepSeek V4 Pro 0423 measured
GSO-Bench	Not measured	9.8%	Only Gemini 3 Flash Preview measured
WeirdML	48.9%	61.6%	Gemini 3 Flash Preview
ALE-Bench	1006.1	1367.2	Gemini 3 Flash Preview
LMArena Text: coding	1470	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: software and IT	1469	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena WebDev: React	1441	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena WebDev: HTML	1435	Not measured	Only DeepSeek V4 Pro 0423 measured
SciCode	Not measured	12.7%	Only Gemini 3 Flash Preview 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 DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
AA Intelligence Index	30.4	26.3	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 index44

Agentic work benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
AA Agentic Index	26.3	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building web apps	1000	1110	Gemini 3 Flash Preview
Design Arena: agents building full-stack apps	948	1063	Gemini 3 Flash Preview
Design Arena: agents building mobile apps	Not measured	1090	Only Gemini 3 Flash Preview measured
Design Arena: agents building Android apps	Not measured	1050	Only Gemini 3 Flash Preview measured
Design Arena: agents building Godot games	1059	1161	Gemini 3 Flash Preview
Design Arena: PowerPoint slides	Not measured	1036	Only Gemini 3 Flash Preview measured
Finance Agent (Vals AI)	44.1%	42.5%	DeepSeek V4 Pro 0423
Tax Agent Bench (Vals AI)	25.2%	11.8%	DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)	23.1%	18.3%	DeepSeek V4 Pro 0423
Excel Modeling Benchmark (Vals AI)	51.6%	26.0%	DeepSeek V4 Pro 0423
τ²-Bench Telecom	Not measured	80.4%	Only Gemini 3 Flash Preview measured
BALROG	Not measured	48.1%	Only Gemini 3 Flash Preview measured
DeepResearch Bench	Not measured	49.8%	Only Gemini 3 Flash Preview measured
Vending-Bench 2	$3,285	$3,635	Gemini 3 Flash Preview
Neither model has a result on the other 26 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index22

Reasoning benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
GPQA Diamond	89.4%	87.9%	DeepSeek V4 Pro 0423
MMMU Pro (Vals AI)	Not measured	87.6%	Only Gemini 3 Flash Preview measured
GPQA Diamond (Artificial Analysis run)	Not measured	89.8%	Only Gemini 3 Flash Preview measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	36.6%	Only Gemini 3 Flash Preview measured
GPQA Diamond (Epoch AI run)	90.9%	89.4%	DeepSeek V4 Pro 0423
ARC-AGI	Not measured	84.7%	Only Gemini 3 Flash Preview measured
ARC-AGI-2	Not measured	33.6%	Only Gemini 3 Flash Preview measured
SimpleBench	Not measured	61.1%	Only Gemini 3 Flash Preview measured
Chess puzzles	19.0%	39.0%	Gemini 3 Flash Preview
Mystery game puzzles	17.0%	26.0%	Gemini 3 Flash Preview
VPCT	Not measured	72.6%	Only Gemini 3 Flash Preview measured
LMArena Text: hard prompts	1461	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: expert	1463	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts in English	1466	Not measured	Only DeepSeek V4 Pro 0423 measured
Kagi LLM Benchmark	53.5%	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 7 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index22

Math benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
AIME	Not measured	95.6%	Only Gemini 3 Flash Preview measured
MGSM (Vals AI)	Not measured	93.3%	Only Gemini 3 Flash Preview measured
AA Math Index	Not measured	97.0	Only Gemini 3 Flash Preview measured
AIME 2025 (Artificial Analysis run)	Not measured	97.0%	Only Gemini 3 Flash Preview measured
OTIS Mock AIME	96.7%	95.6%	DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 3	45.3%	51.2%	Gemini 3 Flash Preview
FrontierMath, tier 4	2.4%	17.1%	Gemini 3 Flash Preview
ProofBench	16.0%	15.0%	DeepSeek V4 Pro 0423
LMArena Text: math	1443	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: mathematical work	1455	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 3 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index16

Knowledge benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
MMLU Pro	87.3%	88.6%	Gemini 3 Flash Preview
LegalBench (Vals AI)	80.3%	86.9%	Gemini 3 Flash Preview
CaseLaw (Vals AI)	59.4%	55.8%	DeepSeek V4 Pro 0423
CorpFin (Vals AI)	61.4%	66.4%	Gemini 3 Flash Preview
TaxEval (Vals AI)	72.1%	73.9%	Gemini 3 Flash Preview
MortgageTax (Vals AI)	Not measured	68.7%	Only Gemini 3 Flash Preview measured
MedQA (Vals AI)	Not measured	95.8%	Only Gemini 3 Flash Preview measured
MedCode (Vals AI)	40.5%	55.9%	Gemini 3 Flash Preview
MMLU Pro (Artificial Analysis run)	Not measured	89.0%	Only Gemini 3 Flash Preview measured
SimpleQA Verified	47.0%	66.8%	Gemini 3 Flash Preview
GeoBench	Not measured	88.0%	Only Gemini 3 Flash Preview measured
LMArena Text: science	1470	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: medicine and healthcare	1466	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: legal and government	1464	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: business and finance	1443	Not measured	Only DeepSeek V4 Pro 0423 measured
FACTS Benchmark Suite	Not measured	63.4%	Only Gemini 3 Flash Preview measured
Neither model has a result on the other 2 boards here

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

Web design benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
Design Arena: websites	1234	1196	DeepSeek V4 Pro 0423
Design Arena: UI components	1222	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: game dev	1229	1166	DeepSeek V4 Pro 0423
Design Arena: data viz	1203	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: 3D	1254	1184	DeepSeek V4 Pro 0423
Design Arena: all code categories	1240	1189	DeepSeek V4 Pro 0423
Design Arena: SVG	1140	Not measured	Only DeepSeek V4 Pro 0423 measured
Design Arena: ASCII art	1149	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index21

General benchmarks for DeepSeek V4 Pro 0423 and Gemini 3 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash Preview	Leader
Public Benefits Bench (Vals AI)	62.9%	Not measured	Only DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)	Not measured	51.8%	Only Gemini 3 Flash Preview measured
MedScribe (Vals AI)	75.1%	69.9%	DeepSeek V4 Pro 0423
Vals Multimodal Index	Not measured	52.2%	Only Gemini 3 Flash Preview measured
IFBench	Not measured	78.0%	Only Gemini 3 Flash Preview measured
Long context reasoning (AA-LCR)	Not measured	78.0%	Only Gemini 3 Flash Preview measured
DTBench	90.7%	89.1%	DeepSeek V4 Pro 0423
LMCA	41.2%	43.1%	Gemini 3 Flash Preview
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	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: instruction following	1445	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: creative writing	1446	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: English	1459	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: non-English	1439	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Chinese	1481	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: German	1458	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Japanese	1446	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Korean	1409	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: French	1473	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Spanish	1457	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Russian	1453	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: Polish	1461	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: multi-turn	1468	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: longer queries	1458	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: writing and language	1447	Not measured	Only DeepSeek V4 Pro 0423 measured
LMArena Text: entertainment and media	1431	Not measured	Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 19 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 Flash Preview
Benchmark	DeepSeek V4 Pro 0423	Gemini 3 Flash 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 Flash Preview$0.0020Fits in one request

Gemini 3 Flash Preview costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.069Fits in one request

Gemini 3 Flash Preview$0.034Fits in one request

Gemini 3 Flash Preview costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.272Fits in one request

Gemini 3 Flash Preview$0.130Fits in one request

Gemini 3 Flash 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 Flash Preview
Specification	DeepSeek V4 Pro 0423	Google Gemini 3 Flash Preview
Maker	DeepSeek	Google
Weights	Open weights	No public weights listed
Released	April 24, 2026	December 17, 2025
Context window	1.05M	1.05M
Input $/Mtok	$1.225	$0.50
Output $/Mtok	$2.716	$3.00
Coding index	38.7	43.7
Independent measurements behind it	5	2
Cost per solved task	$0.57	$0.37
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than Gemini 3 Flash Preview for coding?

Pick Gemini 3 Flash Preview for coding: it scores 43.7 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 2 benchmarks against 5. Pick DeepSeek V4 Pro 0423 for output tokens 1.1x cheaper ($2.716 vs $3.00 per million) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Pro 0423 or Gemini 3 Flash Preview?

DeepSeek V4 Pro 0423 costs $1.225 per million input tokens and $2.716 per million output tokens; Gemini 3 Flash Preview costs $0.50 and $3.00. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and Gemini 3 Flash Preview $0.37.

Which has the bigger context window, DeepSeek V4 Pro 0423 or Gemini 3 Flash Preview?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Pro 0423 vs Gemini 3 Flash Preview comparison based on?

39 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 Flash Preview's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/deepseek-v4-pro-vs-gemini-3-flash-preview" title="DeepSeek V4 Pro 0423 vs Gemini 3 Flash Preview, 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-pro-vs-gemini-3-flash-preview">LLMBenchmark.ai, DeepSeek V4 Pro 0423 vs Gemini 3 Flash Preview</a></p>

DeepSeek V4 Pro 0423 or Gemini 3 Flash 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