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Nova Lite 1.0 vs DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423 leads Nova Lite 1.0 on the Artificial Analysis Intelligence Index, 24.4 to 6.7, at about the same output price ($0.28 vs $0.24 per million). Updated October 21, 2026; 28 benchmarks have a result for both.

Replace Nova Lite 1.0 Replace DeepSeek V4 Flash 0423
Nova Lite 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$0.24
0
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
28
vs boards won of 28 shared

Nova Lite 1.0 or DeepSeek V4 Flash 0423: which to pick

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

Pick Nova Lite 1.0 for output tokens 1.2x cheaper ($0.24 vs $0.28 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model ANova Lite 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
28
Nova Lite 1.0 only
13
DeepSeek V4 Flash 0423 only
21
Like-for-like categories
6 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
Nova Lite 1.0 not benchmarked, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Reasoning, 38.2 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: multi-turn: Nova Lite 1.0 1199 against DeepSeek V4 Flash 0423 1449, 41.7 points apart on a 0 to 100 scale.
Output price
Nova Lite 1.0 $0.24 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 1.2x apart.
Context window
Nova Lite 1.0 takes 300K 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
CategoryNova Lite 1.0BarsDeepSeek V4 Flash 0423Ties
Coding02
Intelligence01
Reasoning03
Math02
Knowledge04
General016
All shared boards028
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
LMArena WebDevNot measured1582Only DeepSeek V4 Flash 0423 measured
AA Coding IndexNot measured52.0Only DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)16.7%Not measuredOnly Nova Lite 1.0 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%Not measuredOnly Nova Lite 1.0 measured
WeirdMLNot measured45.6%Only DeepSeek V4 Flash 0423 measured
ALE-BenchNot measured678.2Only DeepSeek V4 Flash 0423 measured
LMArena Text: coding12391457DeepSeek V4 Flash 0423
LMArena Text: software and IT12411453DeepSeek 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 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
AA Intelligence Index6.724.4DeepSeek V4 Flash 0423
Epoch Capabilities IndexNot measured146.1Only DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Flash 0423 measured
τ²-Bench Telecom17.5%Not measuredOnly Nova Lite 1.0 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
GPQA Diamond (Artificial Analysis run)43.3%Not measuredOnly Nova Lite 1.0 measured
Humanity's Last Exam (Artificial Analysis run)4.3%Not measuredOnly Nova Lite 1.0 measured
SimpleBenchNot measured46.3%Only DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts12201444DeepSeek V4 Flash 0423
LMArena Text: expert12011441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English12261449DeepSeek V4 Flash 0423
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
AA Math Index7.0Not measuredOnly Nova Lite 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: math12271426DeepSeek V4 Flash 0423
LMArena Text: mathematical work12351432DeepSeek V4 Flash 0423
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
MMLU Pro (Artificial Analysis run)59.0%Not measuredOnly Nova Lite 1.0 measured
MMLU77.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: science12321446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare12131448DeepSeek V4 Flash 0423
LMArena Text: legal and government12381439DeepSeek V4 Flash 0423
LMArena Text: business and finance12191425DeepSeek V4 Flash 0423
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
Design Arena: websitesNot measured1208Only DeepSeek V4 Flash 0423 measured
Design Arena: UI componentsNot measured1165Only DeepSeek V4 Flash 0423 measured
Design Arena: game devNot measured1197Only DeepSeek V4 Flash 0423 measured
Design Arena: data vizNot measured1127Only DeepSeek V4 Flash 0423 measured
Design Arena: 3DNot measured1189Only DeepSeek V4 Flash 0423 measured
Design Arena: all code categoriesNot measured1205Only DeepSeek V4 Flash 0423 measured
Design Arena: SVGNot measured1155Only DeepSeek V4 Flash 0423 measured
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 index016
General benchmarks for Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek V4 Flash 0423Leader
IFBench34.1%Not measuredOnly Nova Lite 1.0 measured
Long context reasoning (AA-LCR)19.0%Not measuredOnly Nova Lite 1.0 measured
DTBenchNot measured86.4%Only DeepSeek V4 Flash 0423 measured
LMCANot measured35.9%Only DeepSeek V4 Flash 0423 measured
LMArena Text12291432DeepSeek V4 Flash 0423
LMArena Text: instruction following12051421DeepSeek V4 Flash 0423
LMArena Text: creative writing11971403DeepSeek V4 Flash 0423
LMArena Vision990Not measuredOnly Nova Lite 1.0 measured
LMArena Text: English12431441DeepSeek V4 Flash 0423
LMArena Text: non-English12081419DeepSeek V4 Flash 0423
LMArena Text: Chinese12251463DeepSeek V4 Flash 0423
LMArena Text: German12291419DeepSeek V4 Flash 0423
LMArena Text: Japanese11531389DeepSeek V4 Flash 0423
LMArena Text: Korean11531383DeepSeek V4 Flash 0423
LMArena Text: French12381439DeepSeek V4 Flash 0423
LMArena Text: Spanish12261436DeepSeek V4 Flash 0423
LMArena Text: Russian12161427DeepSeek V4 Flash 0423
LMArena Text: PolishNot measured1436Only DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn11991449DeepSeek V4 Flash 0423
LMArena Text: longer queries12341434DeepSeek V4 Flash 0423
LMArena Text: writing and language12111410DeepSeek V4 Flash 0423
LMArena Text: entertainment and media11761400DeepSeek V4 Flash 0423
LMArena Vision: English999Not measuredOnly Nova Lite 1.0 measured
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 Nova Lite 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Lite 1.0DeepSeek 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

Nova Lite 1.0$0.0002Fits in one request
DeepSeek V4 Flash 0423$0.0003Fits in one request

Nova Lite 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Lite 1.0$0.0037Fits in one request
DeepSeek V4 Flash 0423$0.0073Fits in one request

Nova Lite 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Lite 1.0$0.014Fits in one request
DeepSeek V4 Flash 0423$0.029Fits in one request

Nova Lite 1.0 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 Nova Lite 1.0 and DeepSeek V4 Flash 0423
SpecificationAmazon Nova Lite 1.0DeepSeek V4 Flash 0423
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024April 24, 2026
Context window300K1.05M
Input $/Mtok$0.06$0.13
Output $/Mtok$0.24$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Lite 1.0 better than DeepSeek V4 Flash 0423 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Lite 1.0 for output tokens 1.2x cheaper ($0.24 vs $0.28 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Nova Lite 1.0 or DeepSeek V4 Flash 0423?

Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 per million output tokens; DeepSeek V4 Flash 0423 costs $0.13 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Lite 1.0 or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 300K.

How many benchmarks is the Nova Lite 1.0 vs DeepSeek V4 Flash 0423 comparison based on?

28 benchmarks have a result for both models as of October 21, 2026. Nova Lite 1.0'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.

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