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Nova Lite 1.0 vs DeepSeek V3.2

Updated October 21, 2026. 38 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Nova Lite 1.0 Replace DeepSeek V3.2
Nova Lite 1.0Amazon
Coding
No data
Overall
6.7
Output $/M
$0.24
0
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
21.5
Output $/M
$0.88
38
vs boards won of 38 shared

Decision reading

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

Nova Lite 1.0 has the edge where output tokens cost 3.7x less, and where the context window is larger, 300K against 164K tokens.

Model ANova Lite 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved task
Shared results
38
Nova Lite 1.0 only
3
DeepSeek V3.2 only
37
Like-for-like categories
7 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 Lite 1.0 not benchmarked, DeepSeek V3.2 30.0 from 3 benchmarks.
Widest category
Agentic work, 73.1 points apart on average over 1 shared benchmark.
Widest single gap
AA Math Index: Nova Lite 1.0 7.0 against DeepSeek V3.2 92.0, 85.0 points apart on a 0 to 100 scale.
Output price
Nova Lite 1.0 $0.24 against DeepSeek V3.2 $0.88 per million output tokens, 3.7x apart.
Context window
Nova Lite 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 Lite 1.0BarsDeepSeek V3.2Ties
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
General018
All shared boards038
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 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)16.7%86.2%DeepSeek V3.2
Terminal-Bench Hard (Artificial Analysis run)0.8%35.6%DeepSeek V3.2
Terminal-BenchNot measured39.6%Only DeepSeek V3.2 measured
LMArena Text: coding12391453DeepSeek V3.2
LMArena Text: software and IT12411449DeepSeek 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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 1.0DeepSeek V3.2Leader
AA Intelligence Index6.721.5DeepSeek 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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 1.0DeepSeek V3.2Leader
τ²-Bench Telecom17.5%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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 1.0DeepSeek V3.2Leader
GPQA DiamondNot measured80.3%Only DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)43.3%84.0%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)4.3%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 prompts12201434DeepSeek V3.2
LMArena Text: expert12011436DeepSeek V3.2
LMArena Text: hard prompts in English12261446DeepSeek 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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 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: math12271435DeepSeek V3.2
LMArena Text: mathematical work12351440DeepSeek 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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 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)59.0%86.2%DeepSeek V3.2
MMLU77.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: science12321446DeepSeek V3.2
LMArena Text: medicine and healthcare12131440DeepSeek V3.2
LMArena Text: legal and government12381425DeepSeek V3.2
LMArena Text: business and finance12191410DeepSeek V3.2
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Nova Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 1.0DeepSeek V3.2Leader
Design Arena: websitesNot measured1175Only DeepSeek V3.2 measured
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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 1.0DeepSeek V3.2Leader
IFBench34.1%60.7%DeepSeek V3.2
Long context reasoning (AA-LCR)19.0%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 Text12291425DeepSeek V3.2
LMArena Text: instruction following12051413DeepSeek V3.2
LMArena Text: creative writing11971400DeepSeek V3.2
LMArena Vision990Not measuredOnly Nova Lite 1.0 measured
LMArena Text: English12431439DeepSeek V3.2
LMArena Text: non-English12081409DeepSeek V3.2
LMArena Text: Chinese12251455DeepSeek V3.2
LMArena Text: German12291413DeepSeek V3.2
LMArena Text: Japanese11531374DeepSeek V3.2
LMArena Text: Korean11531370DeepSeek V3.2
LMArena Text: French12381429DeepSeek V3.2
LMArena Text: Spanish12261424DeepSeek V3.2
LMArena Text: Russian12161424DeepSeek V3.2
LMArena Text: PolishNot measured1419Only DeepSeek V3.2 measured
LMArena Text: multi-turn11991427DeepSeek V3.2
LMArena Text: longer queries12341428DeepSeek V3.2
LMArena Text: writing and language12111407DeepSeek V3.2
LMArena Text: entertainment and media11761395DeepSeek V3.2
LMArena Vision: English999Not measuredOnly Nova Lite 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 Lite 1.0 and DeepSeek V3.2
BenchmarkNova Lite 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 Lite 1.0$0.0002Fits in one request
DeepSeek V3.2$0.0007Fits in one request

Nova Lite 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Lite 1.0$0.0037Fits in one request
DeepSeek V3.2$0.017Fits in one request

Nova Lite 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Lite 1.0$0.014Fits in one request
DeepSeek V3.2$0.067Exceeds the context window

Nova Lite 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 Lite 1.0 and DeepSeek V3.2
SpecificationAmazon Nova Lite 1.0DeepSeek V3.2
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024December 1, 2025
Context window300K164K
Input $/Mtok$0.06$0.29
Output $/Mtok$0.24$0.88
Coding indexNot benchmarked30.0
Independent measurements behind it03
Cost per solved taskNot computable$0.99
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Lite 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 Lite 1.0 has none, so the two cannot be ranked on coding. Nova Lite 1.0 has the edge where output tokens cost 3.7x less, and where the context window is larger, 300K against 164K tokens.

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

Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 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 Lite 1.0 or DeepSeek V3.2?

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

How many benchmarks is the Nova Lite 1.0 vs DeepSeek V3.2 comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. Nova Lite 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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