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GPT-4.1 Mini vs Nemotron 3 Ultra

Nemotron 3 Ultra leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 22.9 to 10.2, and GPT-4.1 Mini costs 1.5x less per output token ($1.60 vs $2.40 per million). Updated October 23, 2026; 54 benchmarks have a result for both.

GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
0
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
54
vs boards won of 54 shared

GPT-4.1 Mini or Nemotron 3 Ultra: which to pick

Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for output tokens 1.5x cheaper ($1.60 vs $2.40 per million) and a larger context window (1.05M against 262K tokens).

Shared results
54
GPT-4.1 Mini only
34
Nemotron 3 Ultra only
17
Like-for-like categories
8 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 Mini not benchmarked, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Agentic work, 30.4 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GPT-4.1 Mini 38.3% against Nemotron 3 Ultra 81.4%, 43.1 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Nemotron 3 Ultra $2.40 per million output tokens, 1.5x apart.
Context window
GPT-4.1 Mini takes 1.05M 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-4.1 MiniBarsNemotron 3 UltraTies
Coding06
Intelligence02
Agentic work01
Reasoning08
Math03
Knowledge08
Web design06
General020
All shared boards054
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.249.3Nemotron 3 Ultra
LiveCodeBench (Vals AI)58.2%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
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured40.3%Only Nemotron 3 Ultra measured
Terminal-Bench Hard (Artificial Analysis run)7.6%36.4%Nemotron 3 Ultra
FrontierCodeNot measured13.6%Only Nemotron 3 Ultra measured
WeirdML37.6%43.5%Nemotron 3 Ultra
LMArena Text: coding13671467Nemotron 3 Ultra
LMArena Text: software and IT13601468Nemotron 3 Ultra
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
AA Intelligence Index10.222.9Nemotron 3 Ultra
Epoch Capabilities Index134.9146.0Nemotron 3 Ultra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 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 Telecom52.9%83.3%Nemotron 3 Ultra
APEX-AgentsNot measured22.7%Only Nemotron 3 Ultra measured
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini 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 index08
Reasoning benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
GPQA Diamond67.9%86.1%Nemotron 3 Ultra
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%86.7%Nemotron 3 Ultra
Humanity's Last Exam (Artificial Analysis run)5.0%28.4%Nemotron 3 Ultra
GPQA Diamond (Epoch AI run)65.8%85.4%Nemotron 3 Ultra
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%20.0%Nemotron 3 Ultra
LMArena Text: hard prompts13491452Nemotron 3 Ultra
LMArena Text: expert13381472Nemotron 3 Ultra
LMArena Text: hard prompts in English13621453Nemotron 3 Ultra
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%86.7%Nemotron 3 Ultra
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
ProofBenchNot measured2.0%Only Nemotron 3 Ultra measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431457Nemotron 3 Ultra
LMArena Text: mathematical work13471462Nemotron 3 Ultra
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
MMLU Pro77.2%85.8%Nemotron 3 Ultra
LegalBench (Vals AI)78.0%82.1%Nemotron 3 Ultra
CorpFin (Vals AI)57.9%65.5%Nemotron 3 Ultra
TaxEval (Vals AI)71.9%73.1%Nemotron 3 Ultra
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MedCode (Vals AI)Not measured38.6%Only Nemotron 3 Ultra measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13291465Nemotron 3 Ultra
LMArena Text: medicine and healthcare13241455Nemotron 3 Ultra
LMArena Text: legal and government13431453Nemotron 3 Ultra
LMArena Text: business and finance13221435Nemotron 3 Ultra
PRBench Finance30.4%Not measuredOnly GPT-4.1 Mini measured
PRBench Legal30.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
Design Arena: websites9971145Nemotron 3 Ultra
Design Arena: UI components9581135Nemotron 3 Ultra
Design Arena: game dev10701138Nemotron 3 Ultra
Design Arena: data viz10341142Nemotron 3 Ultra
Design Arena: 3D8371132Nemotron 3 Ultra
Design Arena: all code categories9931146Nemotron 3 Ultra
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
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 3 UltraLeader
IFBench38.3%81.4%Nemotron 3 Ultra
Long context reasoning (AA-LCR)44.0%79.3%Nemotron 3 Ultra
DTBench68.8%90.1%Nemotron 3 Ultra
LMCA21.1%36.9%Nemotron 3 Ultra
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411445Nemotron 3 Ultra
LMArena Text: instruction following13331418Nemotron 3 Ultra
LMArena Text: creative writing12991398Nemotron 3 Ultra
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561454Nemotron 3 Ultra
LMArena Text: non-English13181427Nemotron 3 Ultra
LMArena Text: Chinese13291498Nemotron 3 Ultra
LMArena Text: German13511474Nemotron 3 Ultra
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean12981385Nemotron 3 Ultra
LMArena Text: French13581473Nemotron 3 Ultra
LMArena Text: Spanish13191454Nemotron 3 Ultra
LMArena Text: Russian13241417Nemotron 3 Ultra
LMArena Text: Polish13261385Nemotron 3 Ultra
LMArena Text: multi-turn13541411Nemotron 3 Ultra
LMArena Text: longer queries13441437Nemotron 3 Ultra
LMArena Text: writing and language13191405Nemotron 3 Ultra
LMArena Text: entertainment and media13001397Nemotron 3 Ultra
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and Nemotron 3 Ultra
BenchmarkGPT-4.1 MiniNemotron 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-4.1 Mini$0.0012Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Nemotron 3 Ultra$0.037Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Nemotron 3 Ultra$0.144Fits in one request

GPT-4.1 Mini 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 Mini and Nemotron 3 Ultra
SpecificationOpenAI GPT-4.1 MiniNVIDIA Nemotron 3 Ultra
MakerOpenAINVIDIA
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025June 4, 2026
Context window1.05M262K
Input $/Mtok$0.40$0.60
Output $/Mtok$1.60$2.40
Coding indexNot benchmarked30.0
Independent measurements behind it03
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Nemotron 3 Ultra for coding?

Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 1.5x cheaper ($1.60 vs $2.40 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, GPT-4.1 Mini or Nemotron 3 Ultra?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for GPT-4.1 Mini only.

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

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

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

54 benchmarks have a result for both models as of October 23, 2026. GPT-4.1 Mini'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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