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Nova Micro 1.0 vs DeepSeek V4 Flash 0423

Updated October 21, 2026. 28 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Nova Micro 1.0Amazon
Coding
No data
Overall
5.9
Output $/M
$0.14
0
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
24.4
Output $/M
$0.28
28
vs boards won of 28 shared

Decision reading

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

Nova Micro 1.0 has the edge where output tokens cost 2.0x less, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
28
Nova Micro 1.0 only
11
DeepSeek V4 Flash 0423 only
20
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Micro 1.0 not benchmarked, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Reasoning, 42.0 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: multi-turn: Nova Micro 1.0 1178 against DeepSeek V4 Flash 0423 1449, 45.1 points apart on a 0 to 100 scale.
Output price
Nova Micro 1.0 $0.14 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 2.0x apart.
Context window
Nova Micro 1.0 takes 128K 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 Micro 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 Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 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)14.0%Not measuredOnly Nova Micro 1.0 measured
Terminal-Bench Hard (Artificial Analysis run)1.5%Not measuredOnly Nova Micro 1.0 measured
WeirdMLNot measured45.6%Only DeepSeek V4 Flash 0423 measured
ALE-BenchNot measured678.2Only DeepSeek V4 Flash 0423 measured
LMArena Text: coding12181457DeepSeek V4 Flash 0423
LMArena Text: software and IT12151453DeepSeek 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 Nova Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 1.0DeepSeek V4 Flash 0423Leader
AA Intelligence Index5.924.4DeepSeek 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 Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 1.0DeepSeek V4 Flash 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Flash 0423 measured
τ²-Bench Telecom14.0%Not measuredOnly Nova Micro 1.0 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 1.0DeepSeek V4 Flash 0423Leader
GPQA Diamond (Artificial Analysis run)35.8%Not measuredOnly Nova Micro 1.0 measured
Humanity's Last Exam (Artificial Analysis run)4.6%Not measuredOnly Nova Micro 1.0 measured
SimpleBenchNot measured46.3%Only DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts11911444DeepSeek V4 Flash 0423
LMArena Text: expert11831441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English12031449DeepSeek V4 Flash 0423
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 Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 1.0DeepSeek V4 Flash 0423Leader
AA Math Index6.0Not measuredOnly Nova Micro 1.0 measured
AIME 2025 (Artificial Analysis run)6.0%Not measuredOnly Nova Micro 1.0 measured
LMArena Text: math12061426DeepSeek V4 Flash 0423
LMArena Text: mathematical work12121432DeepSeek 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 Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 1.0DeepSeek V4 Flash 0423Leader
MMLU Pro (Artificial Analysis run)53.1%Not measuredOnly Nova Micro 1.0 measured
MMLU70.8%Not measuredOnly Nova Micro 1.0 measured
LMArena Text: science12101446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare12071448DeepSeek V4 Flash 0423
LMArena Text: legal and government12211439DeepSeek V4 Flash 0423
LMArena Text: business and finance11821425DeepSeek V4 Flash 0423
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Nova Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 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 Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 1.0DeepSeek V4 Flash 0423Leader
IFBench29.4%Not measuredOnly Nova Micro 1.0 measured
Long context reasoning (AA-LCR)13.0%Not measuredOnly Nova Micro 1.0 measured
DTBenchNot measured86.4%Only DeepSeek V4 Flash 0423 measured
LMCANot measured35.9%Only DeepSeek V4 Flash 0423 measured
LMArena Text12081432DeepSeek V4 Flash 0423
LMArena Text: instruction following11741421DeepSeek V4 Flash 0423
LMArena Text: creative writing11721403DeepSeek V4 Flash 0423
LMArena Text: English12241441DeepSeek V4 Flash 0423
LMArena Text: non-English11861419DeepSeek V4 Flash 0423
LMArena Text: Chinese12091463DeepSeek V4 Flash 0423
LMArena Text: German11921419DeepSeek V4 Flash 0423
LMArena Text: Japanese11541389DeepSeek V4 Flash 0423
LMArena Text: Korean11501383DeepSeek V4 Flash 0423
LMArena Text: French12381439DeepSeek V4 Flash 0423
LMArena Text: Spanish12251436DeepSeek V4 Flash 0423
LMArena Text: Russian11851427DeepSeek V4 Flash 0423
LMArena Text: PolishNot measured1436Only DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn11781449DeepSeek V4 Flash 0423
LMArena Text: longer queries12051434DeepSeek V4 Flash 0423
LMArena Text: writing and language11921410DeepSeek V4 Flash 0423
LMArena Text: entertainment and media11631400DeepSeek V4 Flash 0423
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Micro 1.0 and DeepSeek V4 Flash 0423
BenchmarkNova Micro 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 Micro 1.0$0.0001Fits in one request
DeepSeek V4 Flash 0423$0.0003Fits in one request

Nova Micro 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Micro 1.0$0.0022Fits in one request
DeepSeek V4 Flash 0423$0.0078Fits in one request

Nova Micro 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Micro 1.0$0.0084Exceeds the context window
DeepSeek V4 Flash 0423$0.031Fits in one request

Nova Micro 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 Micro 1.0 and DeepSeek V4 Flash 0423
SpecificationAmazon Nova Micro 1.0DeepSeek V4 Flash 0423
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024April 24, 2026
Context window128K1.05M
Input $/Mtok$0.035$0.14
Output $/Mtok$0.14$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Micro 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. Nova Micro 1.0 has the edge where output tokens cost 2.0x less, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

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

Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 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, Nova Micro 1.0 or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 128K.

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

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