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GPT-4.1 vs Nemotron 3 Super

Nemotron 3 Super leads GPT-4.1 on the Artificial Analysis Intelligence Index, 12.8 to 12.7, and Nemotron 3 Super costs 17.8x less per output token ($0.45 vs $8.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
16
Nemotron 3 SuperNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.45
19
vs boards won of 35 shared

GPT-4.1 or Nemotron 3 Super: which to pick

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

Pick GPT-4.1 for a larger context window (1.05M against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Shared results
35
GPT-4.1 only
60
Nemotron 3 Super only
4
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-4.1 not benchmarked, Nemotron 3 Super not benchmarked.
Widest category
Agentic work, 20.8 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GPT-4.1 43.0% against Nemotron 3 Super 71.5%, 28.5 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Nemotron 3 Super $0.45 per million output tokens, 17.8x apart.
Context window
GPT-4.1 takes 1.05M tokens, Nemotron 3 Super 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-4.1BarsNemotron 3 SuperTies
Coding23
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge22
General125
All shared boards1619
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
AA Coding IndexNot measured37.7Only Nemotron 3 Super measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)45.7%Not measuredOnly GPT-4.1 measured
SciCodeNot measured36.2%Only Nemotron 3 Super measured
Terminal-Bench Hard (Artificial Analysis run)13.6%28.8%Nemotron 3 Super
WeirdML39.0%38.0%GPT-4.1
ALE-Bench558.1213.9GPT-4.1
LMArena Text: coding13901403Nemotron 3 Super
LMArena Text: software and IT13911409Nemotron 3 Super
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
AA Intelligence Index12.712.8Nemotron 3 Super
Epoch Capabilities Index136.7Not measuredOnly GPT-4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
AA Agentic IndexNot measured1.7Only Nemotron 3 Super measured
τ²-Bench Telecom47.1%67.8%Nemotron 3 Super
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%80.0%Nemotron 3 Super
Humanity's Last Exam (Artificial Analysis run)4.2%20.8%Nemotron 3 Super
GPQA Diamond (Epoch AI run)66.9%Not measuredOnly GPT-4.1 measured
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841386Nemotron 3 Super
LMArena Text: expert13641398Nemotron 3 Super
LMArena Text: hard prompts in English13931397Nemotron 3 Super
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%Not measuredOnly GPT-4.1 measured
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691380Nemotron 3 Super
LMArena Text: mathematical work13601405Nemotron 3 Super
MathArenaNot measured16.6%Only Nemotron 3 Super measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
MMLU Pro80.5%Not measuredOnly GPT-4.1 measured
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%Not measuredOnly GPT-4.1 measured
TaxEval (Vals AI)75.1%Not measuredOnly GPT-4.1 measured
MortgageTax (Vals AI)65.9%Not measuredOnly GPT-4.1 measured
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821387Nemotron 3 Super
LMArena Text: medicine and healthcare13791383Nemotron 3 Super
LMArena Text: legal and government13991392GPT-4.1
LMArena Text: business and finance13691364GPT-4.1
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
PRBench Finance34.3%Not measuredOnly GPT-4.1 measured
PRBench Legal36.5%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
Design Arena: websites1038Not measuredOnly GPT-4.1 measured
Design Arena: UI components998Not measuredOnly GPT-4.1 measured
Design Arena: game dev1079Not measuredOnly GPT-4.1 measured
Design Arena: data viz1104Not measuredOnly GPT-4.1 measured
Design Arena: 3D849Not measuredOnly GPT-4.1 measured
Design Arena: all code categories1025Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
General benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
IFBench43.0%71.5%Nemotron 3 Super
Long context reasoning (AA-LCR)68.3%65.7%GPT-4.1
DTBench68.3%Not measuredOnly GPT-4.1 measured
LMCA25.6%Not measuredOnly GPT-4.1 measured
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
LMArena Text13831378GPT-4.1
LMArena Text: instruction following13671347GPT-4.1
LMArena Text: creative writing13631317GPT-4.1
LMArena Vision1210Not measuredOnly GPT-4.1 measured
LMArena Text: English13921400Nemotron 3 Super
LMArena Text: non-English13701356GPT-4.1
LMArena Text: Chinese13821431Nemotron 3 Super
LMArena Text: German13811341GPT-4.1
LMArena Text: Japanese1319Not measuredOnly GPT-4.1 measured
LMArena Text: Korean1338Not measuredOnly GPT-4.1 measured
LMArena Text: French13821403Nemotron 3 Super
LMArena Text: Spanish13761418Nemotron 3 Super
LMArena Text: Russian13771336GPT-4.1
LMArena Text: Polish13891346GPT-4.1
LMArena Text: multi-turn13971369GPT-4.1
LMArena Text: longer queries13851362GPT-4.1
LMArena Text: writing and language13711332GPT-4.1
LMArena Text: entertainment and media13651336GPT-4.1
LMArena Vision: English1209Not measuredOnly GPT-4.1 measured
LMArena Vision: Chinese1226Not measuredOnly GPT-4.1 measured
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 measured
MultiChallenge39.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 and Nemotron 3 Super
BenchmarkGPT-4.1Nemotron 3 SuperLeader
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-4.1$0.0060Fits in one request
Nemotron 3 Super$0.0003Fits in one request

Nemotron 3 Super costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
Nemotron 3 Super$0.0056Fits in one request

Nemotron 3 Super costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
Nemotron 3 Super$0.021Fits in one request

Nemotron 3 Super 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-4.1 and Nemotron 3 Super
SpecificationOpenAI GPT-4.1NVIDIA Nemotron 3 Super
MakerOpenAINVIDIA
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025March 11, 2026
Context window1.05M262K
Input $/Mtok$2.00$0.085
Output $/Mtok$8.00$0.45
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than Nemotron 3 Super for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for a larger context window (1.05M against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4.1 or Nemotron 3 Super?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Nemotron 3 Super costs $0.085 and $0.45. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, GPT-4.1 or Nemotron 3 Super?

GPT-4.1, with 1.05M tokens against 262K.

How many benchmarks is the GPT-4.1 vs Nemotron 3 Super comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and Nemotron 3 Super's on 0. Where only one model has a result, the page says so instead of naming a winner.

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