Model comparison
GPT-4.1 nano vs Llama 3.1 Nemotron Ultra 253b v1
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 27.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GPT-4.1 nano scores higher in 1 category and Llama 3.1 Nemotron Ultra 253b v1 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Llama 3.1 Nemotron Ultra 253b v1 leads 26.3 to 8.5.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 33% for GPT-4.1 nano and 10% for Llama 3.1 Nemotron Ultra 253b v1.
- Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 27.9 | 36.7 |
| Released | 2025-04-14 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 11 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 24.1 (#330), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1306 | 1312 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
Agentic & Tool Use GPT-4.1 nano leads
GPT-4.1 nano: 26.5 (#104), Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | 10% |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 8.5 (#349), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1316 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| Epoch Capabilities Index | 129.62 | — |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 26.9 (#252), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1274 | 1360 |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Not comparable
GPT-4.1 nano: 21.8 (#273), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1272 | — |
Multimodal Not comparable
GPT-4.1 nano: 29.2 (#113), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 41.6 (#205), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1260 | 1282 |
| LMArena Russian | 1261 | 1284 |
| LMArena Chinese | 1270 | — |
| LMArena German | 1288 | — |
| LMArena Japanese | 1198 | — |
Instruction Following Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 67.8 (#193), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1308 |
| IFEval | 84.3% | — |
Long Context Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 23.7 (#296), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1283 | 1299 |
| Fiction.LiveBench | 25% | — |
Writing & Preference Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1 nano: 40.5 (#243), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | GPT-4.1 nano | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1285 | 1320 |
| LMArena Creative Writing | 1260 | 1314 |
| LMArena Multi-Turn | 1277 | 1317 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Llama 3.1 Nemotron Ultra 253b v1?
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 27.9 on the Noometry Index.
Is GPT-4.1 nano or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
Llama 3.1 Nemotron Ultra 253b v1 scores higher on coding benchmarks: 38.4 versus 24.1 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and Llama 3.1 Nemotron Ultra 253b v1 share?
11 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.