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Nova 2 Lite vs DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 leads Nova 2 Lite on the Artificial Analysis Intelligence Index, 36.0 to 13.4, and DeepSeek V4 Pro 0813 costs 1.3x less per output token ($1.98 vs $2.50 per million). Updated October 21, 2026; 28 benchmarks have a result for both.

Replace Nova 2 Lite Replace DeepSeek V4 Pro 0813
Nova 2 LiteAmazon
Coding
No data
Overall
No data
Output $/M
$2.50
0
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
28
vs boards won of 28 shared

Nova 2 Lite or DeepSeek V4 Pro 0813: which to pick

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ANova 2 LiteAmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved task
Shared results
28
Nova 2 Lite only
3
DeepSeek V4 Pro 0813 only
50
Like-for-like categories
6 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 2 Lite not benchmarked, DeepSeek V4 Pro 0813 56.1 from 5 benchmarks.
Widest category
Coding, 27.5 points apart on average over 4 shared benchmarks.
Widest single gap
AA Coding Index: Nova 2 Lite 23.0 against DeepSeek V4 Pro 0813 68.8, 45.8 points apart on a 0 to 100 scale.
Output price
Nova 2 Lite $2.50 against DeepSeek V4 Pro 0813 $1.98 per million output tokens, 1.3x apart.
Context window
Nova 2 Lite takes 1M tokens, DeepSeek V4 Pro 0813 1.05M.

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 2 LiteBarsDeepSeek V4 Pro 0813Ties
Coding04
Intelligence01
Reasoning03
Math02
Knowledge04
General014
All shared boards028
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
LMArena WebDevNot measured1582Only DeepSeek V4 Pro 0813 measured
AA Coding Index23.068.8DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)Not measured87.5%Only DeepSeek V4 Pro 0813 measured
SWE-bench Verified (Vals AI)Not measured96.4%Only DeepSeek V4 Pro 0813 measured
Terminal-Bench 4 (Vals AI)Not measured14.1%Only DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)Not measured82.3%Only DeepSeek V4 Pro 0813 measured
Code migration (Vals AI)Not measured41.5%Only DeepSeek V4 Pro 0813 measured
ProgramBench (Vals AI)Not measured0.0%Only DeepSeek V4 Pro 0813 measured
IOI (Vals AI)Not measured51.6%Only DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)Not measured54.7%Only DeepSeek V4 Pro 0813 measured
Vibe Code Bench 1-100 (Vals AI)Not measured17.5%Only DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)Not measured53.8%Only DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)Not measured72.9%Only DeepSeek V4 Pro 0813 measured
SciCodeNot measured51.0%Only DeepSeek V4 Pro 0813 measured
FrontierCodeNot measured28.5%Only DeepSeek V4 Pro 0813 measured
WeirdMLNot measured66.2%Only DeepSeek V4 Pro 0813 measured
ALE-Bench236.31403.2DeepSeek V4 Pro 0813
LMArena Text: coding13851469DeepSeek V4 Pro 0813
LMArena Text: software and IT13941462DeepSeek V4 Pro 0813
LMArena WebDev: ReactNot measured1588Only DeepSeek V4 Pro 0813 measured
LMArena WebDev: HTMLNot measured1566Only DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
AA Intelligence Index13.436.0DeepSeek V4 Pro 0813
Epoch Capabilities IndexNot measured155.6Only DeepSeek V4 Pro 0813 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
AA Agentic IndexNot measured41.3Only DeepSeek V4 Pro 0813 measured
SREBench (Vals AI)Not measured1.9%Only DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)Not measured50.4%Only DeepSeek V4 Pro 0813 measured
Tax Agent Bench (Vals AI)Not measured26.8%Only DeepSeek V4 Pro 0813 measured
Legal Research Bench (Vals AI)Not measured40.9%Only DeepSeek V4 Pro 0813 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.8%Only DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)Not measured52.8%Only DeepSeek V4 Pro 0813 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only DeepSeek V4 Pro 0813 measured
APEX-AgentsNot measured47.3%Only DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
GPQA DiamondNot measured92.4%Only DeepSeek V4 Pro 0813 measured
GPQA Diamond (Artificial Analysis run)Not measured92.8%Only DeepSeek V4 Pro 0813 measured
Humanity's Last Exam (Artificial Analysis run)Not measured41.0%Only DeepSeek V4 Pro 0813 measured
GPQA Diamond (Epoch AI run)Not measured91.7%Only DeepSeek V4 Pro 0813 measured
ARC-AGINot measured90.5%Only DeepSeek V4 Pro 0813 measured
ARC-AGI-2Not measured61.3%Only DeepSeek V4 Pro 0813 measured
Chess puzzlesNot measured46.0%Only DeepSeek V4 Pro 0813 measured
Mystery game puzzlesNot measured43.0%Only DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts13641458DeepSeek V4 Pro 0813
LMArena Text: expert13591459DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English13851463DeepSeek V4 Pro 0813
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
OTIS Mock AIMENot measured98.6%Only DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 3Not measured64.6%Only DeepSeek V4 Pro 0813 measured
FrontierMath, tier 4Not measured26.8%Only DeepSeek V4 Pro 0813 measured
ProofBenchNot measured50.0%Only DeepSeek V4 Pro 0813 measured
LMArena Text: math13591441DeepSeek V4 Pro 0813
LMArena Text: mathematical work13691443DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
MMLU ProNot measured87.0%Only DeepSeek V4 Pro 0813 measured
LegalBench (Vals AI)Not measured82.4%Only DeepSeek V4 Pro 0813 measured
CorpFin (Vals AI)Not measured65.4%Only DeepSeek V4 Pro 0813 measured
TaxEval (Vals AI)Not measured73.1%Only DeepSeek V4 Pro 0813 measured
MedCode (Vals AI)Not measured42.5%Only DeepSeek V4 Pro 0813 measured
SimpleQA VerifiedNot measured52.9%Only DeepSeek V4 Pro 0813 measured
LMArena Text: science13821457DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare13861446DeepSeek V4 Pro 0813
LMArena Text: legal and government13591459DeepSeek V4 Pro 0813
LMArena Text: business and finance13691442DeepSeek V4 Pro 0813
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
Vals IndexNot measured53.0%Only DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)Not measured80.2%Only DeepSeek V4 Pro 0813 measured
Long context reasoning (AA-LCR)Not measured80.3%Only DeepSeek V4 Pro 0813 measured
DTBenchNot measured93.9%Only DeepSeek V4 Pro 0813 measured
LMCANot measured45.5%Only DeepSeek V4 Pro 0813 measured
LMArena Text13621446DeepSeek V4 Pro 0813
LMArena Text: instruction following13351448DeepSeek V4 Pro 0813
LMArena Text: creative writing12921439DeepSeek V4 Pro 0813
LMArena Text: English13851457DeepSeek V4 Pro 0813
LMArena Text: non-English13371431DeepSeek V4 Pro 0813
LMArena Text: Chinese13641481DeepSeek V4 Pro 0813
LMArena Text: German1343Not measuredOnly Nova 2 Lite measured
LMArena Text: Japanese1273Not measuredOnly Nova 2 Lite measured
LMArena Text: Korean12811449DeepSeek V4 Pro 0813
LMArena Text: French13811446DeepSeek V4 Pro 0813
LMArena Text: Spanish13751435DeepSeek V4 Pro 0813
LMArena Text: Russian13421448DeepSeek V4 Pro 0813
LMArena Text: Polish1327Not measuredOnly Nova 2 Lite measured
LMArena Text: multi-turn13381454DeepSeek V4 Pro 0813
LMArena Text: longer queries13351458DeepSeek V4 Pro 0813
LMArena Text: writing and language13181443DeepSeek V4 Pro 0813
LMArena Text: entertainment and media13091424DeepSeek V4 Pro 0813
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova 2 Lite and DeepSeek V4 Pro 0813
BenchmarkNova 2 LiteDeepSeek V4 Pro 0813Leader
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 2 Lite$0.0015Fits in one request
DeepSeek V4 Pro 0813$0.0016Fits in one request

Nova 2 Lite costs less

Repository review

50K input + 3K output tokens

Nova 2 Lite$0.022Fits in one request
DeepSeek V4 Pro 0813$0.039Fits in one request

Nova 2 Lite costs less

Agent loop

200K input + 10K output tokens

Nova 2 Lite$0.085Fits in one request
DeepSeek V4 Pro 0813$0.152Fits in one request

Nova 2 Lite 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 2 Lite and DeepSeek V4 Pro 0813
SpecificationAmazon Nova 2 LiteDeepSeek V4 Pro 0813
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 2, 2025August 12, 2026
Context window1M1.05M
Input $/Mtok$0.30$0.66
Output $/Mtok$2.50$1.98
Coding indexNot benchmarked56.1
Independent measurements behind it05
Cost per solved taskNot computable$0.10
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova 2 Lite better than DeepSeek V4 Pro 0813 for coding?

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Nova 2 Lite or DeepSeek V4 Pro 0813?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; DeepSeek V4 Pro 0813 costs $0.66 and $1.98. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, Nova 2 Lite or DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813, with 1.05M tokens against 1M.

How many benchmarks is the Nova 2 Lite vs DeepSeek V4 Pro 0813 comparison based on?

28 benchmarks have a result for both models as of October 21, 2026. Nova 2 Lite's coding index rests on 0 independent benchmarks and DeepSeek V4 Pro 0813's on 5. Where only one model has a result, the page says so instead of naming a winner.

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