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Nova Pro 1.0 vs GPT-6 Luna

GPT-6 Luna leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 38.1 to 7.0, and GPT-6 Luna costs 6.4x less per output token ($0.50 vs $3.20 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Nova Pro 1.0Amazon
Coding
No data
Overall
7.0
Output $/M
$3.20
0
GPT-6 LunaOpenAI
Coding
57.3
Overall
38.1
Output $/M
$0.50
33
vs boards won of 33 shared

Nova Pro 1.0 or GPT-6 Luna: which to pick

Only GPT-6 Luna has a coding score, 57.3 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
33
Nova Pro 1.0 only
9
GPT-6 Luna only
69
Like-for-like categories
7 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 Pro 1.0 not benchmarked, GPT-6 Luna 57.3 from 5 benchmarks.
Widest category
Web design, 59.5 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Nova Pro 1.0 21.0% against GPT-6 Luna 83.3%, 62.3 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against GPT-6 Luna $0.50 per million output tokens, 6.4x apart.
Context window
Nova Pro 1.0 takes 300K tokens, GPT-6 Luna 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 Pro 1.0BarsGPT-6 LunaTies
Coding02
Intelligence01
Reasoning04
Math02
Knowledge04
Web design01
General019
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
LiveBench codingNot measured84.5%Only GPT-6 Luna measured
LMArena WebDevNot measured1578Only GPT-6 Luna measured
Terminal-Bench 4 (Vals AI)Not measured13.6%Only GPT-6 Luna measured
Vibe Code Bench (Vals AI)Not measured81.7%Only GPT-6 Luna measured
Code migration (Vals AI)Not measured42.5%Only GPT-6 Luna measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-6 Luna measured
IOI (Vals AI)Not measured55.6%Only GPT-6 Luna measured
Terminal-Bench 2.1 (Vals AI)Not measured73.0%Only GPT-6 Luna measured
SWE-bench Multimodal (Vals AI)Not measured37.5%Only GPT-6 Luna measured
CyberBench (Vals AI)Not measured76.3%Only GPT-6 Luna measured
LiveCodeBench (Artificial Analysis run)23.3%Not measuredOnly Nova Pro 1.0 measured
SciCodeNot measured54.6%Only GPT-6 Luna measured
Terminal-Bench Hard (Artificial Analysis run)6.1%Not measuredOnly Nova Pro 1.0 measured
FrontierCodeNot measured42.4%Only GPT-6 Luna measured
ALE-BenchNot measured1576.9Only GPT-6 Luna measured
LMArena Text: coding12701437GPT-6 Luna
LMArena Text: software and IT12711423GPT-6 Luna
LMArena WebDev: ReactNot measured1573Only GPT-6 Luna measured
LMArena WebDev: HTMLNot measured1595Only GPT-6 Luna measured
LMArena WebDev: from an imageNot measured1571Only GPT-6 Luna 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 Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
AA Intelligence Index7.038.1GPT-6 Luna
Epoch Capabilities IndexNot measured156.8Only GPT-6 Luna measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
Design Arena: agents building web appsNot measured1191Only GPT-6 Luna measured
Design Arena: agents building full-stack appsNot measured1158Only GPT-6 Luna measured
Design Arena: agents building mobile appsNot measured1128Only GPT-6 Luna measured
LiveBench researchNot measured43.5%Only GPT-6 Luna measured
LiveBench browserNot measured72.0%Only GPT-6 Luna measured
LiveBench long agenticNot measured48.1%Only GPT-6 Luna measured
SREBench (Vals AI)Not measured2.7%Only GPT-6 Luna measured
Finance Agent (Vals AI)Not measured49.9%Only GPT-6 Luna measured
Tax Agent Bench (Vals AI)Not measured19.9%Only GPT-6 Luna measured
Legal Research Bench (Vals AI)Not measured30.3%Only GPT-6 Luna measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured4.2%Only GPT-6 Luna measured
Excel Modeling Benchmark (Vals AI)Not measured68.5%Only GPT-6 Luna measured
BioMysteryBench (Vals AI)Not measured61.5%Only GPT-6 Luna measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only GPT-6 Luna measured
Vals Science IndexNot measured28.4%Only GPT-6 Luna measured
τ²-Bench Telecom14.0%Not measuredOnly Nova Pro 1.0 measured
APEX-AgentsNot measured44.3%Only GPT-6 Luna measured
SpireClimbNot measured0.0%Only GPT-6 Luna measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
LiveBench reasoningNot measured81.8%Only GPT-6 Luna measured
MysteryMechanism (Vals AI)Not measured19.4%Only GPT-6 Luna measured
GPQA Diamond (Artificial Analysis run)49.9%Not measuredOnly Nova Pro 1.0 measured
Humanity's Last Exam (Artificial Analysis run)3.2%38.5%GPT-6 Luna
GPQA Diamond (Epoch AI run)Not measured90.5%Only GPT-6 Luna measured
ARC-AGINot measured86.7%Only GPT-6 Luna measured
ARC-AGI-2Not measured59.3%Only GPT-6 Luna measured
Chess puzzlesNot measured36.0%Only GPT-6 Luna measured
Mystery game puzzlesNot measured7.0%Only GPT-6 Luna measured
LMArena Text: hard prompts12461410GPT-6 Luna
LMArena Text: expert12111442GPT-6 Luna
LMArena Text: hard prompts in English12591410GPT-6 Luna
LMArena Vision: diagramsNot measured1245Only GPT-6 Luna measured
LMArena Vision: homeworkNot measured1261Only GPT-6 Luna measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
AA Math Index7.0Not measuredOnly Nova Pro 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Pro 1.0 measured
OTIS Mock AIMENot measured98.9%Only GPT-6 Luna measured
FrontierMath, tiers 1 to 3Not measured78.9%Only GPT-6 Luna measured
FrontierMath, tier 4Not measured56.1%Only GPT-6 Luna measured
ProofBenchNot measured64.0%Only GPT-6 Luna measured
LMArena Text: math12521409GPT-6 Luna
LMArena Text: mathematical work12611427GPT-6 Luna
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
MedCode (Vals AI)Not measured44.7%Only GPT-6 Luna measured
MMLU Pro (Artificial Analysis run)69.1%Not measuredOnly Nova Pro 1.0 measured
SimpleQA VerifiedNot measured41.4%Only GPT-6 Luna measured
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551386GPT-6 Luna
LMArena Text: medicine and healthcare12601352GPT-6 Luna
LMArena Text: legal and government12811400GPT-6 Luna
LMArena Text: business and finance12291388GPT-6 Luna
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
Design Arena: websites7961272GPT-6 Luna
Design Arena: UI componentsNot measured1297Only GPT-6 Luna measured
Design Arena: game devNot measured1260Only GPT-6 Luna measured
Design Arena: data vizNot measured1215Only GPT-6 Luna measured
Design Arena: 3DNot measured1217Only GPT-6 Luna measured
Design Arena: all code categoriesNot measured1271Only GPT-6 Luna measured
Design Arena: SVGNot measured1251Only GPT-6 Luna measured
Design Arena: ASCII artNot measured1153Only GPT-6 Luna measured
LiveBench designNot measured82.5%Only GPT-6 Luna measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Nova Pro 1.0 and GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
Vals IndexNot measured52.3%Only GPT-6 Luna measured
LiveBench data analysisNot measured73.4%Only GPT-6 Luna measured
Public Benefits Bench (Vals AI)Not measured57.6%Only GPT-6 Luna measured
SAGE (Vals AI)Not measured48.1%Only GPT-6 Luna measured
MedScribe (Vals AI)Not measured83.7%Only GPT-6 Luna measured
IFBench38.1%Not measuredOnly Nova Pro 1.0 measured
Long context reasoning (AA-LCR)21.0%83.3%GPT-6 Luna
DTBenchNot measured90.1%Only GPT-6 Luna measured
LMCANot measured44.5%Only GPT-6 Luna measured
Furniture assemblyNot measured44.2%Only GPT-6 Luna measured
LMArena Text12591389GPT-6 Luna
LMArena Text: instruction following12351408GPT-6 Luna
LMArena Text: creative writing12121363GPT-6 Luna
LMArena Vision9801216GPT-6 Luna
LMArena Text: English12761393GPT-6 Luna
LMArena Text: non-English12331381GPT-6 Luna
LMArena Text: Chinese12441427GPT-6 Luna
LMArena Text: German12431376GPT-6 Luna
LMArena Text: Japanese12001369GPT-6 Luna
LMArena Text: Korean12031359GPT-6 Luna
LMArena Text: French12711408GPT-6 Luna
LMArena Text: Spanish11821391GPT-6 Luna
LMArena Text: Russian12401392GPT-6 Luna
LMArena Text: PolishNot measured1383Only GPT-6 Luna measured
LMArena Text: multi-turn12461392GPT-6 Luna
LMArena Text: longer queries12551408GPT-6 Luna
LMArena Text: writing and language12471384GPT-6 Luna
LMArena Text: entertainment and media12101364GPT-6 Luna
LMArena Vision: English9871204GPT-6 Luna
LMArena Vision: ChineseNot measured1266Only GPT-6 Luna measured
LMArena Vision: reading textNot measured1225Only GPT-6 Luna measured
LMArena Vision: creative writingNot measured1205Only GPT-6 Luna measured
Neither model has a result on the other 14 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 GPT-6 Luna
BenchmarkNova Pro 1.0GPT-6 LunaLeader
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
GPT-6 Luna$0.0003Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
GPT-6 Luna$0.0065Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
GPT-6 Luna$0.025Fits in one request

GPT-6 Luna 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 GPT-6 Luna
SpecificationAmazon Nova Pro 1.0OpenAI GPT-6 Luna
MakerAmazonOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 5, 2024September 22, 2026
Context window300K1.05M
Input $/Mtok$0.80$0.10
Output $/Mtok$3.20$0.50
Coding indexNot benchmarked57.3
Independent measurements behind it05
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than GPT-6 Luna for coding?

Only GPT-6 Luna has a coding score, 57.3 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Nova Pro 1.0 or GPT-6 Luna?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or GPT-6 Luna?

GPT-6 Luna, with 1.05M tokens against 300K.

How many benchmarks is the Nova Pro 1.0 vs GPT-6 Luna comparison based on?

33 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 GPT-6 Luna's on 5. Where only one model has a result, the page says so instead of naming a winner.

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