Enter opens the highlighted result. Esc closes.

R1 0528 vs DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423 leads R1 0528 on the Artificial Analysis Intelligence Index, 24.4 to 13.1, and DeepSeek V4 Flash 0423 costs 7.8x less per output token ($0.28 vs $2.18 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace R1 0528 Replace DeepSeek V4 Flash 0423
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
5
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
34
vs boards won of 39 shared

R1 0528 or DeepSeek V4 Flash 0423: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick R1 0528 for work measured by WeirdML or LMArena Text: coding, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
39
R1 0528 only
21
DeepSeek V4 Flash 0423 only
10
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.

At a glance

Coding index
R1 0528 not benchmarked, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Intelligence, 11.3 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: SVG: R1 0528 1038 against DeepSeek V4 Flash 0423 1155, 14.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 7.8x apart.
Context window
R1 0528 takes 164K tokens, DeepSeek V4 Flash 0423 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
CategoryR1 0528BarsDeepSeek V4 Flash 0423Ties
Coding13
Intelligence01
Reasoning04
Math02
Knowledge04
Web design16
General314
All shared boards534
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LMArena WebDevNot measured1582Only DeepSeek V4 Flash 0423 measured
AA Coding IndexNot measured52.0Only DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly R1 0528 measured
WeirdML41.6%45.6%DeepSeek V4 Flash 0423
ALE-Bench804.1678.2R1 0528
LMArena Text: coding14271457DeepSeek V4 Flash 0423
LMArena Text: software and IT14351453DeepSeek V4 Flash 0423
LMArena WebDev: ReactNot measured1585Only DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTMLNot measured1558Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
AA Intelligence Index13.124.4DeepSeek V4 Flash 0423
Epoch Capabilities IndexNot measured146.1Only DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Flash 0423 measured
τ²-Bench Telecom36.5%Not measuredOnly R1 0528 measured
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
GPQA Diamond (Artificial Analysis run)81.3%Not measuredOnly R1 0528 measured
Humanity's Last Exam (Artificial Analysis run)15.8%Not measuredOnly R1 0528 measured
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%46.3%DeepSeek V4 Flash 0423
LMArena Text: hard prompts14151444DeepSeek V4 Flash 0423
LMArena Text: expert13941441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14221449DeepSeek V4 Flash 0423
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001426DeepSeek V4 Flash 0423
LMArena Text: mathematical work14151432DeepSeek V4 Flash 0423
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14451448DeepSeek V4 Flash 0423
LMArena Text: legal and government14191439DeepSeek V4 Flash 0423
LMArena Text: business and finance14021425DeepSeek V4 Flash 0423
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
Design Arena: websites11491207DeepSeek V4 Flash 0423
Design Arena: UI components11001162DeepSeek V4 Flash 0423
Design Arena: game dev10971196DeepSeek V4 Flash 0423
Design Arena: data viz11821127R1 0528
Design Arena: 3D11101188DeepSeek V4 Flash 0423
Design Arena: all code categories11381205DeepSeek V4 Flash 0423
Design Arena: SVG10381155DeepSeek V4 Flash 0423
Design Arena: ASCII artNot measured1109Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index314
General benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
IFBench39.6%Not measuredOnly R1 0528 measured
Long context reasoning (AA-LCR)55.7%Not measuredOnly R1 0528 measured
DTBenchNot measured86.4%Only DeepSeek V4 Flash 0423 measured
LMCANot measured35.9%Only DeepSeek V4 Flash 0423 measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281432DeepSeek V4 Flash 0423
LMArena Text: instruction following13821421DeepSeek V4 Flash 0423
LMArena Text: creative writing14051403R1 0528
LMArena Text: English14371441DeepSeek V4 Flash 0423
LMArena Text: non-English14121419DeepSeek V4 Flash 0423
LMArena Text: Chinese14421463DeepSeek V4 Flash 0423
LMArena Text: German14041419DeepSeek V4 Flash 0423
LMArena Text: Japanese13911389R1 0528
LMArena Text: Korean13601383DeepSeek V4 Flash 0423
LMArena Text: French14171439DeepSeek V4 Flash 0423
LMArena Text: Spanish14111436DeepSeek V4 Flash 0423
LMArena Text: Russian14231427DeepSeek V4 Flash 0423
LMArena Text: Polish14281436DeepSeek V4 Flash 0423
LMArena Text: multi-turn14051449DeepSeek V4 Flash 0423
LMArena Text: longer queries13911434DeepSeek V4 Flash 0423
LMArena Text: writing and language14021410DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001400R1 0528
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and DeepSeek V4 Flash 0423
BenchmarkR1 0528DeepSeek V4 Flash 0423Leader
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

R1 0528$0.0016Fits in one request
DeepSeek V4 Flash 0423$0.0003Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
DeepSeek V4 Flash 0423$0.0078Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
DeepSeek V4 Flash 0423$0.031Fits in one request

DeepSeek V4 Flash 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 R1 0528 and DeepSeek V4 Flash 0423
SpecificationDeepSeek R1 0528DeepSeek V4 Flash 0423
MakerDeepSeekDeepSeek
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025April 24, 2026
Context window164K1.05M
Input $/Mtok$0.50$0.14
Output $/Mtok$2.18$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than DeepSeek V4 Flash 0423 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by WeirdML or LMArena Text: coding, where it leads.

Which is cheaper, R1 0528 or DeepSeek V4 Flash 0423?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; DeepSeek V4 Flash 0423 costs $0.14 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs DeepSeek V4 Flash 0423 comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and DeepSeek V4 Flash 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next