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Nova Pro 1.0 vs Llama 4 Scout

Nova Pro 1.0 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 7.0 to 6.5, and Llama 4 Scout costs 6.4x less per output token ($0.50 vs $3.20 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace Nova Pro 1.0 Replace Llama 4 Scout
Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
3
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
38
vs boards won of 41 shared

Nova Pro 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 Pro 1.0 for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model ANova Pro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
41
Nova Pro 1.0 only
1
Llama 4 Scout only
41
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.

At a glance

Coding index
Nova Pro 1.0 not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Math, 6.0 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Vision: English: Nova Pro 1.0 987 against Llama 4 Scout 1143, 23.9 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Llama 4 Scout $0.50 per million output tokens, 6.4x apart.
Context window
Nova Pro 1.0 takes 300K 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 Pro 1.0BarsLlama 4 ScoutTies
Coding13
Intelligence10
Agentic work01
Reasoning05
Math04
Knowledge05
Web design10
General020
All shared boards338
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for Nova Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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)23.3%29.9%Llama 4 Scout
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)6.1%1.5%Nova Pro 1.0
LMArena Text: coding12701286Llama 4 Scout
LMArena Text: software and IT12711286Llama 4 Scout
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nova Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 1.0Llama 4 ScoutLeader
AA Intelligence Index7.06.5Nova Pro 1.0
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 Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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 index05
Reasoning benchmarks for Nova Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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)49.9%58.7%Llama 4 Scout
Humanity's Last Exam (Artificial Analysis run)3.2%3.8%Llama 4 Scout
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 prompts12461266Llama 4 Scout
LMArena Text: expert12111235Llama 4 Scout
LMArena Text: hard prompts in English12591293Llama 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 Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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 Index7.014.0Llama 4 Scout
AIME 2025 (Artificial Analysis run)7.0%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: math12521287Llama 4 Scout
LMArena Text: mathematical work12611286Llama 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 Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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)69.1%75.2%Llama 4 Scout
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551278Llama 4 Scout
LMArena Text: medicine and healthcare12601275Llama 4 Scout
LMArena Text: legal and government12811285Llama 4 Scout
LMArena Text: business and finance12291257Llama 4 Scout
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for Nova Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 1.0Llama 4 ScoutLeader
Design Arena: websites796750Nova Pro 1.0
Design Arena: UI componentsNot measured765Only Llama 4 Scout measured
Design Arena: game devNot measured772Only Llama 4 Scout measured
Design Arena: data vizNot measured896Only Llama 4 Scout measured
Design Arena: all code categoriesNot measured789Only 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 index020
General benchmarks for Nova Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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
IFBench38.1%39.5%Llama 4 Scout
Long context reasoning (AA-LCR)21.0%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 Text12591279Llama 4 Scout
LMArena Text: instruction following12351248Llama 4 Scout
LMArena Text: creative writing12121249Llama 4 Scout
LMArena Vision9801118Llama 4 Scout
LMArena Text: English12761304Llama 4 Scout
LMArena Text: non-English12331252Llama 4 Scout
LMArena Text: Chinese12441255Llama 4 Scout
LMArena Text: German12431273Llama 4 Scout
LMArena Text: Japanese12001206Llama 4 Scout
LMArena Text: Korean12031207Llama 4 Scout
LMArena Text: French12711283Llama 4 Scout
LMArena Text: Spanish11821278Llama 4 Scout
LMArena Text: Russian12401263Llama 4 Scout
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turn12461280Llama 4 Scout
LMArena Text: longer queries12551265Llama 4 Scout
LMArena Text: writing and language12471269Llama 4 Scout
LMArena Text: entertainment and media12101242Llama 4 Scout
LMArena Vision: English9871143Llama 4 Scout
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 Pro 1.0 and Llama 4 Scout
BenchmarkNova Pro 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 Pro 1.0$0.0024Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Llama 4 Scout$0.040Fits in one request

Llama 4 Scout 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 Pro 1.0 and Llama 4 Scout
SpecificationAmazon Nova Pro 1.0Meta Llama 4 Scout
MakerAmazonMeta Llama
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024April 5, 2025
Context window300K1.31M
Input $/Mtok$0.80$0.175
Output $/Mtok$3.20$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 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 Pro 1.0 for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

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

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 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 Pro 1.0 or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 300K.

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

41 benchmarks have a result for both models as of October 22, 2026. Nova Pro 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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