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Nova 2 Lite vs Phi 4

Nova 2 Lite leads Phi 4 on the Artificial Analysis Intelligence Index, 13.4 to 5.9, and Phi 4 costs 17.9x less per output token ($0.14 vs $2.50 per million). Updated October 21, 2026; 28 benchmarks have a result for both.

Nova 2 LiteAmazon
Coding
No data
Overall
13.4
Output $/M
$2.50
28
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
vs boards won of 28 shared

Nova 2 Lite or Phi 4: which to pick

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

Pick Nova 2 Lite for a larger context window (1M against 16K tokens).

Shared results
28
Nova 2 Lite only
3
Phi 4 only
17
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, Phi 4 not benchmarked.
Widest category
Knowledge, 27.0 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: Nova 2 Lite 1386 against Phi 4 1202, 30.7 points apart on a 0 to 100 scale.
Output price
Nova 2 Lite $2.50 against Phi 4 $0.14 per million output tokens, 17.9x apart.
Context window
Nova 2 Lite takes 1M tokens, Phi 4 16K.

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 LiteBarsPhi 4Ties
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General160
All shared boards280
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
AA Coding Index23.0Not measuredOnly Nova 2 Lite measured
LiveCodeBench (Artificial Analysis run)Not measured23.1%Only Phi 4 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
ALE-Bench236.3Not measuredOnly Nova 2 Lite measured
LMArena Text: coding13851231Nova 2 Lite
LMArena Text: software and IT13941228Nova 2 Lite
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
AA Intelligence Index13.45.9Nova 2 Lite
Epoch Capabilities IndexNot measured130.5Only Phi 4 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
τ²-Bench TelecomNot measured0.0%Only Phi 4 measured
BALROGNot measured11.6%Only Phi 4 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
GPQA Diamond (Artificial Analysis run)Not measured57.5%Only Phi 4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
GPQA Diamond (Epoch AI run)Not measured56.1%Only Phi 4 measured
LMArena Text: hard prompts13641220Nova 2 Lite
LMArena Text: expert13591203Nova 2 Lite
LMArena Text: hard prompts in English13851230Nova 2 Lite
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
AA Math IndexNot measured18.0Only Phi 4 measured
AIME 2025 (Artificial Analysis run)Not measured18.0%Only Phi 4 measured
OTIS Mock AIMENot measured13.8%Only Phi 4 measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: math13591246Nova 2 Lite
LMArena Text: mathematical work13691254Nova 2 Lite
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
MMLU Pro (Artificial Analysis run)Not measured71.4%Only Phi 4 measured
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: science13821206Nova 2 Lite
LMArena Text: medicine and healthcare13861202Nova 2 Lite
LMArena Text: legal and government13591241Nova 2 Lite
LMArena Text: business and finance13691199Nova 2 Lite
Neither model has a result on the other 11 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 Phi 4
BenchmarkNova 2 LitePhi 4Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for Nova 2 Lite and Phi 4
BenchmarkNova 2 LitePhi 4Leader
IFBenchNot measured23.5%Only Phi 4 measured
Long context reasoning (AA-LCR)Not measured0.0%Only Phi 4 measured
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
LMArena Text13621217Nova 2 Lite
LMArena Text: instruction following13351201Nova 2 Lite
LMArena Text: creative writing12921181Nova 2 Lite
LMArena Text: English13851231Nova 2 Lite
LMArena Text: non-English13371197Nova 2 Lite
LMArena Text: Chinese13641212Nova 2 Lite
LMArena Text: German13431222Nova 2 Lite
LMArena Text: Japanese12731158Nova 2 Lite
LMArena Text: Korean12811151Nova 2 Lite
LMArena Text: French13811224Nova 2 Lite
LMArena Text: Spanish13751234Nova 2 Lite
LMArena Text: Russian13421209Nova 2 Lite
LMArena Text: Polish1327Not measuredOnly Nova 2 Lite measured
LMArena Text: multi-turn13381206Nova 2 Lite
LMArena Text: longer queries13351217Nova 2 Lite
LMArena Text: writing and language13181198Nova 2 Lite
LMArena Text: entertainment and media13091162Nova 2 Lite
Neither model has a result on the other 26 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 Phi 4
BenchmarkNova 2 LitePhi 4Leader
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
Phi 4$0.0001Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Nova 2 Lite$0.022Fits in one request
Phi 4$0.0039Exceeds the context window

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Nova 2 Lite$0.085Fits in one request
Phi 4$0.015Exceeds the context window

Phi 4 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 Phi 4
SpecificationAmazon Nova 2 LiteMicrosoft Phi 4
MakerAmazonMicrosoft
WeightsNo public weights listedOpen weights
ReleasedDecember 2, 2025January 10, 2025
Context window1M16K
Input $/Mtok$0.30$0.07
Output $/Mtok$2.50$0.14
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova 2 Lite better than Phi 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova 2 Lite for a larger context window (1M against 16K tokens).

Which is cheaper, Nova 2 Lite or Phi 4?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Phi 4 costs $0.07 and $0.14. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova 2 Lite or Phi 4?

Nova 2 Lite, with 1M tokens against 16K.

How many benchmarks is the Nova 2 Lite vs Phi 4 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 Phi 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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