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GPT-4o (2024-11-20) vs Nemotron 3 Ultra

Nemotron 3 Ultra leads GPT-4o (2024-11-20) on the Artificial Analysis Intelligence Index, 22.9 to 8.4, and Nemotron 3 Ultra costs 4.2x less per output token ($2.40 vs $10.00 per million). Updated October 23, 2026; 10 benchmarks have a result for both.

GPT-4o (2024-11-20)OpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
2
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
8
vs boards won of 10 shared

GPT-4o (2024-11-20) or Nemotron 3 Ultra: which to pick

Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; GPT-4o (2024-11-20) has none, so the two cannot be ranked on coding.

Pick GPT-4o (2024-11-20) for work measured by LegalBench (Vals AI) or TaxEval (Vals AI), where it leads.

Shared results
10
GPT-4o (2024-11-20) only
14
Nemotron 3 Ultra only
61
Like-for-like categories
5 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
GPT-4o (2024-11-20) not benchmarked, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Math, 80.4 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-11-20) 6.3% against Nemotron 3 Ultra 86.7%, 80.4 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-11-20) $10.00 against Nemotron 3 Ultra $2.40 per million output tokens, 4.2x apart.
Context window
GPT-4o (2024-11-20) takes 128K tokens, Nemotron 3 Ultra 262K.

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
CategoryGPT-4o (2024-11-20)BarsNemotron 3 UltraTies
Coding02
Intelligence01
Reasoning02
Math01
Knowledge22
All shared boards28
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
Aider polyglot18.2%Not measuredOnly GPT-4o (2024-11-20) measured
AA Coding IndexNot measured49.3Only Nemotron 3 Ultra measured
LiveCodeBench (Vals AI)43.4%86.0%Nemotron 3 Ultra
SWE-bench Verified (Vals AI)Not measured69.0%Only Nemotron 3 Ultra measured
Vibe Code Bench (Vals AI)Not measured7.6%Only Nemotron 3 Ultra measured
Code migration (Vals AI)Not measured4.9%Only Nemotron 3 Ultra measured
ProgramBench (Vals AI)Not measured0.0%Only Nemotron 3 Ultra measured
Terminal-Bench 2.1 (Vals AI)Not measured50.9%Only Nemotron 3 Ultra measured
SciCodeNot measured40.3%Only Nemotron 3 Ultra measured
Terminal-Bench Hard (Artificial Analysis run)Not measured36.4%Only Nemotron 3 Ultra measured
FrontierCodeNot measured13.6%Only Nemotron 3 Ultra measured
GSO-Bench0.0%Not measuredOnly GPT-4o (2024-11-20) measured
WeirdML25.1%43.5%Nemotron 3 Ultra
Cybench12.5%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: codingNot measured1467Only Nemotron 3 Ultra measured
LMArena Text: software and ITNot measured1468Only Nemotron 3 Ultra measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
AA Intelligence Index8.422.9Nemotron 3 Ultra
Epoch Capabilities IndexNot measured146.0Only Nemotron 3 Ultra measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
AA Agentic IndexNot measured20.1Only Nemotron 3 Ultra measured
Finance Agent (Vals AI)Not measured37.7%Only Nemotron 3 Ultra measured
Legal Research Bench (Vals AI)Not measured15.4%Only Nemotron 3 Ultra measured
Excel Modeling Benchmark (Vals AI)Not measured31.7%Only Nemotron 3 Ultra measured
τ²-Bench TelecomNot measured83.3%Only Nemotron 3 Ultra measured
APEX-AgentsNot measured22.7%Only Nemotron 3 Ultra measured
TheAgentCompany8.6%Not measuredOnly GPT-4o (2024-11-20) measured
MCP AtlasNot measured63.1%Only Nemotron 3 Ultra measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
GPQA Diamond53.8%86.1%Nemotron 3 Ultra
MMMU Pro (Vals AI)62.2%Not measuredOnly GPT-4o (2024-11-20) measured
GPQA Diamond (Artificial Analysis run)Not measured86.7%Only Nemotron 3 Ultra measured
Humanity's Last Exam (Artificial Analysis run)Not measured28.4%Only Nemotron 3 Ultra measured
GPQA Diamond (Epoch AI run)47.9%85.4%Nemotron 3 Ultra
Mystery game puzzlesNot measured20.0%Only Nemotron 3 Ultra measured
VPCT40.0%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: hard promptsNot measured1452Only Nemotron 3 Ultra measured
LMArena Text: expertNot measured1472Only Nemotron 3 Ultra measured
LMArena Text: hard prompts in EnglishNot measured1453Only Nemotron 3 Ultra measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
AIME11.9%Not measuredOnly GPT-4o (2024-11-20) measured
MATH 500 (Vals AI)74.0%Not measuredOnly GPT-4o (2024-11-20) measured
MGSM (Vals AI)90.4%Not measuredOnly GPT-4o (2024-11-20) measured
OTIS Mock AIME6.3%86.7%Nemotron 3 Ultra
ProofBenchNot measured2.0%Only Nemotron 3 Ultra measured
MATH level 549.8%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: mathNot measured1457Only Nemotron 3 Ultra measured
LMArena Text: mathematical workNot measured1462Only Nemotron 3 Ultra measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
MMLU Pro72.6%85.8%Nemotron 3 Ultra
LegalBench (Vals AI)82.2%82.1%GPT-4o (2024-11-20)
CaseLaw (Vals AI)59.7%Not measuredOnly GPT-4o (2024-11-20) measured
CorpFin (Vals AI)45.9%65.5%Nemotron 3 Ultra
TaxEval (Vals AI)74.5%73.1%GPT-4o (2024-11-20)
MortgageTax (Vals AI)57.4%Not measuredOnly GPT-4o (2024-11-20) measured
MedCode (Vals AI)Not measured38.6%Only Nemotron 3 Ultra measured
GeoBench71.0%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: scienceNot measured1465Only Nemotron 3 Ultra measured
LMArena Text: medicine and healthcareNot measured1455Only Nemotron 3 Ultra measured
LMArena Text: legal and governmentNot measured1453Only Nemotron 3 Ultra measured
LMArena Text: business and financeNot measured1435Only Nemotron 3 Ultra measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
Design Arena: websitesNot measured1145Only Nemotron 3 Ultra measured
Design Arena: UI componentsNot measured1135Only Nemotron 3 Ultra measured
Design Arena: game devNot measured1138Only Nemotron 3 Ultra measured
Design Arena: data vizNot measured1142Only Nemotron 3 Ultra measured
Design Arena: 3DNot measured1132Only Nemotron 3 Ultra measured
Design Arena: all code categoriesNot measured1146Only Nemotron 3 Ultra measured
Design Arena: SVGNot measured1069Only Nemotron 3 Ultra measured
Design Arena: ASCII artNot measured1100Only Nemotron 3 Ultra measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
General benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
IFBenchNot measured81.4%Only Nemotron 3 Ultra measured
Long context reasoning (AA-LCR)Not measured79.3%Only Nemotron 3 Ultra measured
DTBenchNot measured90.1%Only Nemotron 3 Ultra measured
LMCANot measured36.9%Only Nemotron 3 Ultra measured
Creative writing (Lech Mazur)81.8%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena TextNot measured1445Only Nemotron 3 Ultra measured
LMArena Text: instruction followingNot measured1418Only Nemotron 3 Ultra measured
LMArena Text: creative writingNot measured1398Only Nemotron 3 Ultra measured
LMArena Text: EnglishNot measured1454Only Nemotron 3 Ultra measured
LMArena Text: non-EnglishNot measured1427Only Nemotron 3 Ultra measured
LMArena Text: ChineseNot measured1498Only Nemotron 3 Ultra measured
LMArena Text: GermanNot measured1474Only Nemotron 3 Ultra measured
LMArena Text: KoreanNot measured1385Only Nemotron 3 Ultra measured
LMArena Text: FrenchNot measured1473Only Nemotron 3 Ultra measured
LMArena Text: SpanishNot measured1454Only Nemotron 3 Ultra measured
LMArena Text: RussianNot measured1417Only Nemotron 3 Ultra measured
LMArena Text: PolishNot measured1385Only Nemotron 3 Ultra measured
LMArena Text: multi-turnNot measured1411Only Nemotron 3 Ultra measured
LMArena Text: longer queriesNot measured1437Only Nemotron 3 Ultra measured
LMArena Text: writing and languageNot measured1405Only Nemotron 3 Ultra measured
LMArena Text: entertainment and mediaNot measured1397Only Nemotron 3 Ultra measured
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-11-20) and Nemotron 3 Ultra
BenchmarkGPT-4o (2024-11-20)Nemotron 3 UltraLeader
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

GPT-4o (2024-11-20)$0.0075Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

Nemotron 3 Ultra costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-11-20)$0.155Fits in one request
Nemotron 3 Ultra$0.037Fits in one request

Nemotron 3 Ultra costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-11-20)$0.600Exceeds the context window
Nemotron 3 Ultra$0.144Fits in one request

Nemotron 3 Ultra 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 GPT-4o (2024-11-20) and Nemotron 3 Ultra
SpecificationOpenAI GPT-4o (2024-11-20)NVIDIA Nemotron 3 Ultra
MakerOpenAINVIDIA
WeightsNo public weights listedOpen weights
ReleasedNovember 20, 2024June 4, 2026
Context window128K262K
Input $/Mtok$2.50$0.60
Output $/Mtok$10.00$2.40
Coding indexNot benchmarked30.0
Independent measurements behind it03
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-11-20) better than Nemotron 3 Ultra for coding?

Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; GPT-4o (2024-11-20) has none, so the two cannot be ranked on coding. Pick GPT-4o (2024-11-20) for work measured by LegalBench (Vals AI) or TaxEval (Vals AI), where it leads.

Which is cheaper, GPT-4o (2024-11-20) or Nemotron 3 Ultra?

GPT-4o (2024-11-20) costs $2.50 per million input tokens and $10.00 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-11-20) or Nemotron 3 Ultra?

Nemotron 3 Ultra, with 262K tokens against 128K.

How many benchmarks is the GPT-4o (2024-11-20) vs Nemotron 3 Ultra comparison based on?

10 benchmarks have a result for both models as of October 23, 2026. GPT-4o (2024-11-20)'s coding index rests on 0 independent benchmarks and Nemotron 3 Ultra's on 3. Where only one model has a result, the page says so instead of naming a winner.

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