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Nova Pro 1.0 vs R1 0528

R1 0528 leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 13.1 to 7.0, and R1 0528 costs 1.5x less per output token ($2.18 vs $3.20 per million). Updated October 21, 2026; 39 benchmarks have a result for both.

Replace Nova Pro 1.0 Replace R1 0528
Nova Pro 1.0Amazon
Coding
No data
Overall
7.0
Output $/M
$3.20
0
R1 0528DeepSeek
Coding
No data
Overall
13.1
Output $/M
$2.18
39
vs boards won of 39 shared

Nova Pro 1.0 or R1 0528: which to pick

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

Pick Nova Pro 1.0 for a larger context window (300K against 164K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ANova Pro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
Nova Pro 1.0 only
3
R1 0528 only
20
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, R1 0528 not benchmarked.
Widest category
Math, 47.1 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Nova Pro 1.0 7.0 against R1 0528 76.0, 69.0 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against R1 0528 $2.18 per million output tokens, 1.5x apart.
Context window
Nova Pro 1.0 takes 300K tokens, R1 0528 164K.

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 1.0BarsR1 0528Ties
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
Web design01
General018
All shared boards039
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
LiveCodeBench (Artificial Analysis run)23.3%77.0%R1 0528
Terminal-Bench Hard (Artificial Analysis run)6.1%15.9%R1 0528
WeirdMLNot measured41.6%Only R1 0528 measured
ALE-BenchNot measured804.1Only R1 0528 measured
LMArena Text: coding12701427R1 0528
LMArena Text: software and IT12711435R1 0528
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 Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
AA Intelligence Index7.013.1R1 0528
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
τ²-Bench Telecom14.0%36.5%R1 0528
METR time horizonsNot measured53.8%Only R1 0528 measured
DeepResearch BenchNot measured35.1%Only 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 index05
Reasoning benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
GPQA Diamond (Artificial Analysis run)49.9%81.3%R1 0528
Humanity's Last Exam (Artificial Analysis run)3.2%15.8%R1 0528
GPQA Diamond (Epoch AI run)Not measured76.3%Only R1 0528 measured
ARC-AGINot measured21.2%Only R1 0528 measured
ARC-AGI-2Not measured1.1%Only R1 0528 measured
SimpleBenchNot measured40.8%Only R1 0528 measured
LMArena Text: hard prompts12461415R1 0528
LMArena Text: expert12111394R1 0528
LMArena Text: hard prompts in English12591422R1 0528
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
AA Math Index7.076.0R1 0528
AIME 2025 (Artificial Analysis run)7.0%76.0%R1 0528
OTIS Mock AIMENot measured66.4%Only R1 0528 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math12521400R1 0528
LMArena Text: mathematical work12611415R1 0528
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
MMLU Pro (Artificial Analysis run)69.1%84.9%R1 0528
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551430R1 0528
LMArena Text: medicine and healthcare12601445R1 0528
LMArena Text: legal and government12811419R1 0528
LMArena Text: business and finance12291402R1 0528
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
Design Arena: websites7961149R1 0528
Design Arena: UI componentsNot measured1103Only R1 0528 measured
Design Arena: game devNot measured1097Only R1 0528 measured
Design Arena: data vizNot measured1182Only R1 0528 measured
Design Arena: 3DNot measured1111Only R1 0528 measured
Design Arena: all code categoriesNot measured1139Only R1 0528 measured
Design Arena: SVGNot measured1039Only R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
IFBench38.1%39.6%R1 0528
Long context reasoning (AA-LCR)21.0%55.7%R1 0528
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)Not measured81.9%Only R1 0528 measured
LMArena Text12591428R1 0528
LMArena Text: instruction following12351382R1 0528
LMArena Text: creative writing12121405R1 0528
LMArena Vision980Not measuredOnly Nova Pro 1.0 measured
LMArena Text: English12761437R1 0528
LMArena Text: non-English12331412R1 0528
LMArena Text: Chinese12441442R1 0528
LMArena Text: German12431404R1 0528
LMArena Text: Japanese12001391R1 0528
LMArena Text: Korean12031360R1 0528
LMArena Text: French12711417R1 0528
LMArena Text: Spanish11821411R1 0528
LMArena Text: Russian12401423R1 0528
LMArena Text: PolishNot measured1428Only R1 0528 measured
LMArena Text: multi-turn12461405R1 0528
LMArena Text: longer queries12551391R1 0528
LMArena Text: writing and language12471402R1 0528
LMArena Text: entertainment and media12101400R1 0528
LMArena Vision: English987Not measuredOnly Nova Pro 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 Pro 1.0 and R1 0528
BenchmarkNova Pro 1.0R1 0528Leader
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
R1 0528$0.0016Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
R1 0528$0.032Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
R1 0528$0.122Exceeds the context window

R1 0528 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 R1 0528
SpecificationAmazon Nova Pro 1.0DeepSeek R1 0528
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024May 28, 2025
Context window300K164K
Input $/Mtok$0.80$0.50
Output $/Mtok$3.20$2.18
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than R1 0528 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Pro 1.0 for a larger context window (300K against 164K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Nova Pro 1.0 or R1 0528?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; R1 0528 costs $0.50 and $2.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or R1 0528?

Nova Pro 1.0, with 300K tokens against 164K.

How many benchmarks is the Nova Pro 1.0 vs R1 0528 comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and R1 0528's on 0. Where only one model has a result, the page says so instead of naming a winner.

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