Model comparison
GPT-4.1 vs Llama 3.1 Nemotron Ultra 253b v1
GPT-4.1 and Llama 3.1 Nemotron Ultra 253b v1 score almost the same on the Noometry Index (35.9 vs 36.7), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
NVIDIASummary
- They share 11 benchmarks with published results for both. GPT-4.1 scores higher in 5 categories and Llama 3.1 Nemotron Ultra 253b v1 in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-4.1 leads 34.7 to 15.7.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 54% for GPT-4.1 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 | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 35.9 | 36.7 |
| Released | 2025-04-14 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 52 | 11 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1: 34.4 (#238), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1391 | 1312 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| WeirdML | 39% | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use GPT-4.1 leads
GPT-4.1: 34.7 (#43), Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | 10% |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1: 11.7 (#339), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1316 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.78 | — |
| ForecastBench | 61.5 | — |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
GPT-4.1: 22.3 (#280), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1370 | 1360 |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Not comparable
GPT-4.1: 37.1 (#160), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
| LMArena Expert | 1364 | — |
Multimodal Not comparable
GPT-4.1: 38.2 (#67), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.4 (#133), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1370 | 1282 |
| LMArena Russian | 1377 | 1284 |
| LMArena Chinese | 1382 | — |
| LMArena French | 1382 | — |
| LMArena German | 1381 | — |
| LMArena Japanese | 1319 | — |
| LMArena Korean | 1339 | — |
| LMArena Spanish | 1376 | — |
Instruction Following GPT-4.1 leads
GPT-4.1: 71.3 (#153), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1308 |
| IFEval | 83.8% | — |
Long Context Too close to call
GPT-4.1: 40.0 (#163), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1385 | 1299 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.6 (#125), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | GPT-4.1 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1383 | 1320 |
| LMArena Creative Writing | 1363 | 1314 |
| LMArena Multi-Turn | 1398 | 1317 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is GPT-4.1 better than Llama 3.1 Nemotron Ultra 253b v1?
GPT-4.1 and Llama 3.1 Nemotron Ultra 253b v1 score almost the same on the Noometry Index (35.9 vs 36.7), so choose on price, context window or the category you care about most.
Is GPT-4.1 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 34.4 in the Noometry coding category.
How many benchmarks do GPT-4.1 and Llama 3.1 Nemotron Ultra 253b v1 share?
11 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.