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Nova Pro 1.0 vs DeepSeek V3.2

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Nova Pro 1.0 Replace DeepSeek V3.2
Nova Pro 1.0Amazon
Coding
No data
Overall
7.0
Output $/M
$3.20
0
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
21.5
Output $/M
$0.88
39
vs boards won of 39 shared

Decision reading

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding.

Nova Pro 1.0 has the edge where the context window is larger, 300K against 164K tokens.

Model ANova Pro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved task
Shared results
39
Nova Pro 1.0 only
3
DeepSeek V3.2 only
36
Like-for-like categories
8 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 Pro 1.0 not benchmarked, DeepSeek V3.2 30.0 from 3 benchmarks.
Widest category
Agentic work, 76.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Math Index: Nova Pro 1.0 7.0 against DeepSeek V3.2 92.0, 85.0 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against DeepSeek V3.2 $0.88 per million output tokens, 3.6x apart.
Context window
Nova Pro 1.0 takes 300K tokens, DeepSeek V3.2 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 1.0BarsDeepSeek V3.2Ties
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 DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
SWE-bench VerifiedNot measured70.0%Only DeepSeek V3.2 measured
SWE-bench MultilingualNot measured59.0%Only DeepSeek V3.2 measured
LMArena WebDevNot measured1362Only DeepSeek V3.2 measured
AA Coding IndexNot measured44.2Only DeepSeek V3.2 measured
LiveCodeBench (Vals AI)Not measured80.7%Only DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)Not measured67.6%Only DeepSeek V3.2 measured
Vibe Code Bench (Vals AI)Not measured5.1%Only DeepSeek V3.2 measured
LiveCodeBench (Artificial Analysis run)23.3%86.2%DeepSeek V3.2
Terminal-Bench Hard (Artificial Analysis run)6.1%35.6%DeepSeek V3.2
Terminal-BenchNot measured39.6%Only DeepSeek V3.2 measured
LMArena Text: coding12701453DeepSeek V3.2
LMArena Text: software and IT12711449DeepSeek V3.2
LMArena WebDev: ReactNot measured1350Only DeepSeek V3.2 measured
LMArena WebDev: HTMLNot measured1371Only DeepSeek V3.2 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
AA Intelligence Index7.021.5DeepSeek V3.2
Epoch Capabilities IndexNot measured146.1Only DeepSeek V3.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Pro 1.0 and DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
τ²-Bench Telecom14.0%90.6%DeepSeek V3.2
APEX-AgentsNot measured21.3%Only DeepSeek V3.2 measured
Vending-Bench 2Not measured$1,034Only DeepSeek V3.2 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 DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
GPQA DiamondNot measured80.3%Only DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)49.9%84.0%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)3.2%24.6%DeepSeek V3.2
ARC-AGINot measured57.0%Only DeepSeek V3.2 measured
ARC-AGI-2Not measured4.0%Only DeepSeek V3.2 measured
LMArena Text: hard prompts12461434DeepSeek V3.2
LMArena Text: expert12111436DeepSeek V3.2
LMArena Text: hard prompts in English12591446DeepSeek V3.2
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Nova Pro 1.0 and DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
AIMENot measured84.6%Only DeepSeek V3.2 measured
MGSM (Vals AI)Not measured86.0%Only DeepSeek V3.2 measured
AA Math Index7.092.0DeepSeek V3.2
AIME 2025 (Artificial Analysis run)7.0%92.0%DeepSeek V3.2
LMArena Text: math12521435DeepSeek V3.2
LMArena Text: mathematical work12611440DeepSeek V3.2
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 DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
MMLU ProNot measured84.9%Only DeepSeek V3.2 measured
LegalBench (Vals AI)Not measured76.1%Only DeepSeek V3.2 measured
CaseLaw (Vals AI)Not measured55.4%Only DeepSeek V3.2 measured
CorpFin (Vals AI)Not measured51.0%Only DeepSeek V3.2 measured
TaxEval (Vals AI)Not measured68.2%Only DeepSeek V3.2 measured
MedQA (Vals AI)Not measured93.9%Only DeepSeek V3.2 measured
MMLU Pro (Artificial Analysis run)69.1%86.2%DeepSeek V3.2
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551446DeepSeek V3.2
LMArena Text: medicine and healthcare12601440DeepSeek V3.2
LMArena Text: legal and government12811425DeepSeek V3.2
LMArena Text: business and finance12291410DeepSeek V3.2
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Pro 1.0 and DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
Design Arena: websites7961175DeepSeek V3.2
Design Arena: UI componentsNot measured1149Only DeepSeek V3.2 measured
Design Arena: game devNot measured1131Only DeepSeek V3.2 measured
Design Arena: data vizNot measured1158Only DeepSeek V3.2 measured
Design Arena: 3DNot measured1133Only DeepSeek V3.2 measured
Design Arena: all code categoriesNot measured1164Only DeepSeek V3.2 measured
Design Arena: SVGNot measured1032Only DeepSeek V3.2 measured
Design Arena: ASCII artNot measured1082Only DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Pro 1.0 and DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
IFBench38.1%60.7%DeepSeek V3.2
Long context reasoning (AA-LCR)21.0%73.3%DeepSeek V3.2
DTBenchNot measured85.6%Only DeepSeek V3.2 measured
LMCANot measured28.8%Only DeepSeek V3.2 measured
CL-benchNot measured12.4%Only DeepSeek V3.2 measured
CL-bench LifeNot measured7.4%Only DeepSeek V3.2 measured
LMArena Text12591425DeepSeek V3.2
LMArena Text: instruction following12351413DeepSeek V3.2
LMArena Text: creative writing12121400DeepSeek V3.2
LMArena Vision980Not measuredOnly Nova Pro 1.0 measured
LMArena Text: English12761439DeepSeek V3.2
LMArena Text: non-English12331409DeepSeek V3.2
LMArena Text: Chinese12441455DeepSeek V3.2
LMArena Text: German12431413DeepSeek V3.2
LMArena Text: Japanese12001374DeepSeek V3.2
LMArena Text: Korean12031370DeepSeek V3.2
LMArena Text: French12711429DeepSeek V3.2
LMArena Text: Spanish11821424DeepSeek V3.2
LMArena Text: Russian12401424DeepSeek V3.2
LMArena Text: PolishNot measured1419Only DeepSeek V3.2 measured
LMArena Text: multi-turn12461427DeepSeek V3.2
LMArena Text: longer queries12551428DeepSeek V3.2
LMArena Text: writing and language12471407DeepSeek V3.2
LMArena Text: entertainment and media12101395DeepSeek V3.2
LMArena Vision: English987Not measuredOnly Nova Pro 1.0 measured
Neither model has a result on the other 21 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 DeepSeek V3.2
BenchmarkNova Pro 1.0DeepSeek V3.2Leader
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
DeepSeek V3.2$0.0007Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
DeepSeek V3.2$0.017Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
DeepSeek V3.2$0.067Exceeds the context window

DeepSeek V3.2 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 DeepSeek V3.2
SpecificationAmazon Nova Pro 1.0DeepSeek V3.2
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024December 1, 2025
Context window300K164K
Input $/Mtok$0.80$0.29
Output $/Mtok$3.20$0.88
Coding indexNot benchmarked30.0
Independent measurements behind it03
Cost per solved taskNot computable$0.99
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than DeepSeek V3.2 for coding?

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding. Nova Pro 1.0 has the edge where the context window is larger, 300K against 164K tokens.

Which is cheaper, Nova Pro 1.0 or DeepSeek V3.2?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; DeepSeek V3.2 costs $0.29 and $0.88. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, Nova Pro 1.0 or DeepSeek V3.2?

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

How many benchmarks is the Nova Pro 1.0 vs DeepSeek V3.2 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 DeepSeek V3.2's on 3. Where only one model has a result, the page says so instead of naming a winner.

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