Model comparison
GPT-4.1 vs Tulu 3 (Tülu 3) 70B
GPT-4.1 is the stronger model overall, scoring 35.7 to 32.6 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Tulu 3 (Tülu 3) 70B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 leads 57.8 to 45.8.
- The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 42.7% for Tulu 3 (Tülu 3) 70B.
- Tulu 3 (Tülu 3) 70B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 35.7 | 32.6 |
| Released | 2025-04-14 | 2024-11-21 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 52 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Tulu 3 (Tülu 3) 70B leads
GPT-4.1: 34.2 (#228), Tulu 3 (Tülu 3) 70B: 35.4 (#211)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1391 | 1236 |
| 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 Not comparable
GPT-4.1: 34.4 (#40), Tulu 3 (Tülu 3) 70B: —
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
Reasoning Tulu 3 (Tülu 3) 70B leads
GPT-4.1: 11.7 (#334), Tulu 3 (Tülu 3) 70B: 22.9 (#172)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1220 |
| 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 | 136.79 | — |
| ForecastBench | 61.5 | — |
Math GPT-4.1 leads
GPT-4.1: 21.4 (#269), Tulu 3 (Tülu 3) 70B: 13.3 (#297)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 38.3% | 4.4% |
| LMArena Math | 1369 | 1242 |
| MATH Level 5 | 83% | 42.7% |
| FrontierMath (Tiers 1-3) | 6% | — |
| Omni-MATH | 47.1% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.0 (#152), Tulu 3 (Tülu 3) 70B: 25.1 (#257)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | 66.9% | 46.3% |
| 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: 37.5 (#66), Tulu 3 (Tülu 3) 70B: —
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.6 (#128), Tulu 3 (Tülu 3) 70B: 40.1 (#217)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1370 | 1236 |
| LMArena Chinese | 1382 | 1249 |
| LMArena Russian | 1377 | 1246 |
| LMArena French | 1383 | — |
| LMArena German | 1380 | — |
| LMArena Japanese | 1320 | — |
| LMArena Korean | 1339 | — |
| LMArena Spanish | 1375 | — |
Instruction Following GPT-4.1 leads
GPT-4.1: 71.5 (#148), Tulu 3 (Tülu 3) 70B: 65.0 (#222)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1367 | 1233 |
| IFEval | 83.8% | — |
Long Context GPT-4.1 leads
GPT-4.1: 40.0 (#158), Tulu 3 (Tülu 3) 70B: 37.1 (#217)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1385 | 1224 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.8 (#120), Tulu 3 (Tülu 3) 70B: 45.8 (#218)
| Benchmark | GPT-4.1 | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1383 | 1256 |
| LMArena Creative Writing | 1363 | 1231 |
| LMArena Multi-Turn | 1398 | 1252 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is GPT-4.1 better than Tulu 3 (Tülu 3) 70B?
GPT-4.1 is the stronger model overall, scoring 35.7 to 32.6 on the Noometry Index.
Is GPT-4.1 or Tulu 3 (Tülu 3) 70B better for coding?
Tulu 3 (Tülu 3) 70B scores higher on coding benchmarks: 35.4 versus 34.2 in the Noometry coding category.
How many benchmarks do GPT-4.1 and Tulu 3 (Tülu 3) 70B share?
14 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.