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GPT-4o (2024-08-06) vs Nemotron 3 Nano 30B A3B

Nemotron 3 Nano 30B A3B leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 8.9 to 7.7, and Nemotron 3 Nano 30B A3B costs 45.5x less per output token ($0.22 vs $10.00 per million). Updated October 23, 2026; 35 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace Nemotron 3 Nano 30B A3B
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
3
Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
32
vs boards won of 35 shared

GPT-4o (2024-08-06) or Nemotron 3 Nano 30B A3B: which to pick

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

Pick GPT-4o (2024-08-06) for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BNemotron 3 Nano 30B A3BNVIDIANot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
GPT-4o (2024-08-06) only
23
Nemotron 3 Nano 30B A3B only
7
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
GPT-4o (2024-08-06) not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
Widest category
Coding, 20.3 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): GPT-4o (2024-08-06) 31.7% against Nemotron 3 Nano 30B A3B 74.1%, 42.4 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 45.5x apart.
Context window
GPT-4o (2024-08-06) takes 128K tokens, Nemotron 3 Nano 30B A3B 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 (2024-08-06)BarsNemotron 3 Nano 30B A3BTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General315
All shared boards332
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
AA Coding IndexNot measured14.4Only Nemotron 3 Nano 30B A3B measured
LiveCodeBench (Artificial Analysis run)31.7%74.1%Nemotron 3 Nano 30B A3B
SciCodeNot measured30.6%Only Nemotron 3 Nano 30B A3B measured
Terminal-Bench Hard (Artificial Analysis run)8.3%13.6%Nemotron 3 Nano 30B A3B
LMArena Text: coding12831378Nemotron 3 Nano 30B A3B
LMArena Text: software and IT12781382Nemotron 3 Nano 30B A3B
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
AA Intelligence Index7.78.9Nemotron 3 Nano 30B A3B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
AA Agentic IndexNot measured1.0Only Nemotron 3 Nano 30B A3B measured
τ²-Bench Telecom28.9%40.9%Nemotron 3 Nano 30B A3B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%75.7%Nemotron 3 Nano 30B A3B
Humanity's Last Exam (Artificial Analysis run)2.3%11.4%Nemotron 3 Nano 30B A3B
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641348Nemotron 3 Nano 30B A3B
LMArena Text: expert12411356Nemotron 3 Nano 30B A3B
LMArena Text: hard prompts in English12771376Nemotron 3 Nano 30B A3B
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
AA Math IndexNot measured91.0Only Nemotron 3 Nano 30B A3B measured
AIME 2025 (Artificial Analysis run)Not measured91.0%Only Nemotron 3 Nano 30B A3B measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851371Nemotron 3 Nano 30B A3B
LMArena Text: mathematical work12831375Nemotron 3 Nano 30B A3B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU Pro (Artificial Analysis run)Not measured79.4%Only Nemotron 3 Nano 30B A3B measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741353Nemotron 3 Nano 30B A3B
LMArena Text: medicine and healthcare12521349Nemotron 3 Nano 30B A3B
LMArena Text: legal and government12751341Nemotron 3 Nano 30B A3B
LMArena Text: business and finance12321345Nemotron 3 Nano 30B A3B
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index315
General benchmarks for GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
IFBench36.0%71.1%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)41.0%38.0%GPT-4o (2024-08-06)
LMArena Text12831348Nemotron 3 Nano 30B A3B
LMArena Text: instruction following12671304Nemotron 3 Nano 30B A3B
LMArena Text: creative writing12741270GPT-4o (2024-08-06)
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971378Nemotron 3 Nano 30B A3B
LMArena Text: non-English12621320Nemotron 3 Nano 30B A3B
LMArena Text: Chinese12541383Nemotron 3 Nano 30B A3B
LMArena Text: German12571348Nemotron 3 Nano 30B A3B
LMArena Text: Japanese12341269Nemotron 3 Nano 30B A3B
LMArena Text: Korean12181269Nemotron 3 Nano 30B A3B
LMArena Text: French12631396Nemotron 3 Nano 30B A3B
LMArena Text: Spanish12691376Nemotron 3 Nano 30B A3B
LMArena Text: Russian12721304Nemotron 3 Nano 30B A3B
LMArena Text: PolishNot measured1302Only Nemotron 3 Nano 30B A3B measured
LMArena Text: multi-turn12791319Nemotron 3 Nano 30B A3B
LMArena Text: longer queries12831300Nemotron 3 Nano 30B A3B
LMArena Text: writing and language12901284GPT-4o (2024-08-06)
LMArena Text: entertainment and media12671294Nemotron 3 Nano 30B A3B
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
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 GPT-4o (2024-08-06) and Nemotron 3 Nano 30B A3B
BenchmarkGPT-4o (2024-08-06)Nemotron 3 Nano 30B A3BLeader
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 (2024-08-06)$0.0075Fits in one request
Nemotron 3 Nano 30B A3B$0.0002Fits in one request

Nemotron 3 Nano 30B A3B costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Nemotron 3 Nano 30B A3B$0.0034Fits in one request

Nemotron 3 Nano 30B A3B costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Nemotron 3 Nano 30B A3B$0.013Fits in one request

Nemotron 3 Nano 30B A3B 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 (2024-08-06) and Nemotron 3 Nano 30B A3B
SpecificationOpenAI GPT-4o (2024-08-06)NVIDIA Nemotron 3 Nano 30B A3B
MakerOpenAINVIDIA
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024December 14, 2025
Context window128K262K
Input $/Mtok$2.50$0.055
Output $/Mtok$10.00$0.22
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Nemotron 3 Nano 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Nemotron 3 Nano 30B A3B?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or Nemotron 3 Nano 30B A3B?

Nemotron 3 Nano 30B A3B, with 262K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Nemotron 3 Nano 30B A3B comparison based on?

35 benchmarks have a result for both models as of October 23, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and Nemotron 3 Nano 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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