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Nova 2 Lite vs GPT-4 Turbo

Nova 2 Lite leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 13.4 to 7.0, and Nova 2 Lite costs 12.0x less per output token ($2.50 vs $30.00 per million). Updated October 21, 2026; 30 benchmarks have a result for both.

Nova 2 LiteAmazon
Coding
No data
Overall
No data
Output $/M
$2.50
30
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
0
vs boards won of 30 shared

Nova 2 Lite or GPT-4 Turbo: which to pick

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

Pick Nova 2 Lite for output tokens 12.0x cheaper ($2.50 vs $30.00 per million) and a larger context window (1M against 128K tokens).

Shared results
30
Nova 2 Lite only
1
GPT-4 Turbo only
12
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, GPT-4 Turbo not benchmarked.
Widest category
Knowledge, 21.4 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: Nova 2 Lite 1386 against GPT-4 Turbo 1239, 24.4 points apart on a 0 to 100 scale.
Output price
Nova 2 Lite $2.50 against GPT-4 Turbo $30.00 per million output tokens, 12.0x apart.
Context window
Nova 2 Lite takes 1M tokens, GPT-4 Turbo 128K.

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 LiteBarsGPT-4 TurboTies
Coding30
Intelligence10
Reasoning30
Math20
Knowledge40
General170
All shared boards300
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
AA Coding Index23.021.5Nova 2 Lite
LiveCodeBench (Artificial Analysis run)Not measured29.1%Only GPT-4 Turbo measured
ALE-Bench236.3Not measuredOnly Nova 2 Lite measured
LMArena Text: coding13851268Nova 2 Lite
LMArena Text: software and IT13941267Nova 2 Lite
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
AA Intelligence Index13.47.0Nova 2 Lite
Epoch Capabilities IndexNot measured127.3Only GPT-4 Turbo measured
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
Neither model has a result on 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
Humanity's Last Exam (Artificial Analysis run)Not measured3.1%Only GPT-4 Turbo measured
LMArena Text: hard prompts13641251Nova 2 Lite
LMArena Text: expert13591223Nova 2 Lite
LMArena Text: hard prompts in English13851266Nova 2 Lite
Neither model has a result on the other 18 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
LMArena Text: math13591272Nova 2 Lite
LMArena Text: mathematical work13691268Nova 2 Lite
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
LegalBench (Vals AI)Not measured80.5%Only GPT-4 Turbo measured
MedQA (Vals AI)Not measured82.0%Only GPT-4 Turbo measured
MMLU Pro (Artificial Analysis run)Not measured69.4%Only GPT-4 Turbo measured
MMLUNot measured81.3%Only GPT-4 Turbo measured
LMArena Text: science13821256Nova 2 Lite
LMArena Text: medicine and healthcare13861239Nova 2 Lite
LMArena Text: legal and government13591265Nova 2 Lite
LMArena Text: business and finance13691222Nova 2 Lite
Neither model has a result on the other 10 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 GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Nova 2 Lite and GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
DTBenchNot measured61.6%Only GPT-4 Turbo measured
LMCANot measured9.8%Only GPT-4 Turbo measured
LMArena Text13621272Nova 2 Lite
LMArena Text: instruction following13351249Nova 2 Lite
LMArena Text: creative writing12921268Nova 2 Lite
LMArena VisionNot measured1090Only GPT-4 Turbo measured
LMArena Text: English13851291Nova 2 Lite
LMArena Text: non-English13371245Nova 2 Lite
LMArena Text: Chinese13641242Nova 2 Lite
LMArena Text: German13431259Nova 2 Lite
LMArena Text: Japanese12731194Nova 2 Lite
LMArena Text: Korean12811187Nova 2 Lite
LMArena Text: French13811276Nova 2 Lite
LMArena Text: Spanish13751260Nova 2 Lite
LMArena Text: Russian13421259Nova 2 Lite
LMArena Text: Polish13271302Nova 2 Lite
LMArena Text: multi-turn13381267Nova 2 Lite
LMArena Text: longer queries13351254Nova 2 Lite
LMArena Text: writing and language13181279Nova 2 Lite
LMArena Text: entertainment and media13091258Nova 2 Lite
LMArena Vision: EnglishNot measured1097Only GPT-4 Turbo measured
LMArena Vision: ChineseNot measured1045Only GPT-4 Turbo measured
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 GPT-4 Turbo
BenchmarkNova 2 LiteGPT-4 TurboLeader
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
GPT-4 Turbo$0.025Fits in one request

Nova 2 Lite costs less

Repository review

50K input + 3K output tokens

Nova 2 Lite$0.022Fits in one request
GPT-4 Turbo$0.590Fits in one request

Nova 2 Lite costs less

Agent loop

200K input + 10K output tokens

Nova 2 Lite$0.085Fits in one request
GPT-4 Turbo$2.30Exceeds the context window

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 GPT-4 Turbo
SpecificationAmazon Nova 2 LiteOpenAI GPT-4 Turbo
MakerAmazonOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 2, 2025April 9, 2024
Context window1M128K
Input $/Mtok$0.30$10.00
Output $/Mtok$2.50$30.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova 2 Lite better than GPT-4 Turbo for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova 2 Lite for output tokens 12.0x cheaper ($2.50 vs $30.00 per million) and a larger context window (1M against 128K tokens).

Which is cheaper, Nova 2 Lite or GPT-4 Turbo?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-4 Turbo costs $10.00 and $30.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova 2 Lite or GPT-4 Turbo?

Nova 2 Lite, with 1M tokens against 128K.

How many benchmarks is the Nova 2 Lite vs GPT-4 Turbo comparison based on?

30 benchmarks have a result for both models as of October 21, 2026. Nova 2 Lite's coding index rests on 0 independent benchmarks and GPT-4 Turbo's on 0. Where only one model has a result, the page says so instead of naming a winner.

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