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Nova Micro 1.0 vs Llama 4 Scout

Llama 4 Scout leads Nova Micro 1.0 on the Artificial Analysis Intelligence Index, 6.5 to 5.9, and Nova Micro 1.0 costs 3.6x less per output token ($0.14 vs $0.50 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace Nova Micro 1.0 Replace Llama 4 Scout
Nova Micro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$0.14
1
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
36
vs boards won of 38 shared, 1 tied

Nova Micro 1.0 or Llama 4 Scout: which to pick

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

Pick Nova Micro 1.0 for output tokens 3.6x cheaper ($0.14 vs $0.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model ANova Micro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
38
Nova Micro 1.0 only
1
Llama 4 Scout only
44
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
Nova Micro 1.0 not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Knowledge, 13.6 points apart on average over 5 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Nova Micro 1.0 35.8% against Llama 4 Scout 58.7%, 22.9 points apart on a 0 to 100 scale.
Output price
Nova Micro 1.0 $0.14 against Llama 4 Scout $0.50 per million output tokens, 3.6x apart.
Context window
Nova Micro 1.0 takes 128K tokens, Llama 4 Scout 1.31M.

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 1.0BarsLlama 4 ScoutTies
Coding031 tie
Intelligence01
Agentic work01
Reasoning14
Math04
Knowledge05
General018
All shared boards1361 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)14.0%29.9%Llama 4 Scout
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)1.5%1.5%Tie
LMArena Text: coding12181286Llama 4 Scout
LMArena Text: software and IT12151286Llama 4 Scout
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
AA Intelligence Index5.96.5Llama 4 Scout
Epoch Capabilities IndexNot measured129.6Only Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom14.0%15.5%Llama 4 Scout
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)35.8%58.7%Llama 4 Scout
Humanity's Last Exam (Artificial Analysis run)4.6%3.8%Nova Micro 1.0
GPQA Diamond (Epoch AI run)Not measured51.8%Only Llama 4 Scout measured
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
LMArena Text: hard prompts11911266Llama 4 Scout
LMArena Text: expert11831235Llama 4 Scout
LMArena Text: hard prompts in English12031293Llama 4 Scout
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM BenchmarkNot measured36.9%Only Llama 4 Scout measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
AIMENot measured19.0%Only Llama 4 Scout measured
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)Not measured88.0%Only Llama 4 Scout measured
AA Math Index6.014.0Llama 4 Scout
AIME 2025 (Artificial Analysis run)6.0%14.0%Llama 4 Scout
OTIS Mock AIMENot measured7.8%Only Llama 4 Scout measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math12061287Llama 4 Scout
LMArena Text: mathematical work12121286Llama 4 Scout
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
MMLU ProNot measured69.6%Only Llama 4 Scout measured
LegalBench (Vals AI)Not measured72.0%Only Llama 4 Scout measured
CorpFin (Vals AI)Not measured46.8%Only Llama 4 Scout measured
TaxEval (Vals AI)Not measured55.2%Only Llama 4 Scout measured
MortgageTax (Vals AI)Not measured57.8%Only Llama 4 Scout measured
MedQA (Vals AI)Not measured50.9%Only Llama 4 Scout measured
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)53.1%75.2%Llama 4 Scout
MMLU70.8%Not measuredOnly Nova Micro 1.0 measured
LMArena Text: science12101278Llama 4 Scout
LMArena Text: medicine and healthcare12071275Llama 4 Scout
LMArena Text: legal and government12211285Llama 4 Scout
LMArena Text: business and finance11821257Llama 4 Scout
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
Design Arena: websitesNot measured750Only Llama 4 Scout measured
Design Arena: UI componentsNot measured768Only Llama 4 Scout measured
Design Arena: game devNot measured773Only Llama 4 Scout measured
Design Arena: data vizNot measured896Only Llama 4 Scout measured
Design Arena: all code categoriesNot measured790Only Llama 4 Scout measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Micro 1.0 and Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench29.4%39.5%Llama 4 Scout
Long context reasoning (AA-LCR)13.0%27.7%Llama 4 Scout
DTBenchNot measured57.9%Only Llama 4 Scout measured
LMCANot measured12.0%Only Llama 4 Scout measured
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
LMArena Text12081279Llama 4 Scout
LMArena Text: instruction following11741248Llama 4 Scout
LMArena Text: creative writing11721249Llama 4 Scout
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: English12241304Llama 4 Scout
LMArena Text: non-English11861252Llama 4 Scout
LMArena Text: Chinese12091255Llama 4 Scout
LMArena Text: German11921273Llama 4 Scout
LMArena Text: Japanese11541206Llama 4 Scout
LMArena Text: Korean11501207Llama 4 Scout
LMArena Text: French12381283Llama 4 Scout
LMArena Text: Spanish12251278Llama 4 Scout
LMArena Text: Russian11851263Llama 4 Scout
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turn11781280Llama 4 Scout
LMArena Text: longer queries12051265Llama 4 Scout
LMArena Text: writing and language11921269Llama 4 Scout
LMArena Text: entertainment and media11631242Llama 4 Scout
LMArena Vision: EnglishNot measured1143Only Llama 4 Scout measured
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only Llama 4 Scout measured
Neither model has a result on the other 16 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 Llama 4 Scout
BenchmarkNova Micro 1.0Llama 4 ScoutLeader
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
Llama 4 Scout$0.0004Fits 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
Llama 4 Scout$0.010Fits 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
Llama 4 Scout$0.040Fits 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 Llama 4 Scout
SpecificationAmazon Nova Micro 1.0Meta Llama 4 Scout
MakerAmazonMeta Llama
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024April 5, 2025
Context window128K1.31M
Input $/Mtok$0.035$0.175
Output $/Mtok$0.14$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Micro 1.0 better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Micro 1.0 for output tokens 3.6x cheaper ($0.14 vs $0.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Nova Micro 1.0 or Llama 4 Scout?

Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Nova Micro 1.0 or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 128K.

How many benchmarks is the Nova Micro 1.0 vs Llama 4 Scout comparison based on?

38 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 Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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