Model comparison
GPT-4.1 nano vs Tulu 3 (Tülu 3) 70B
Tulu 3 (Tülu 3) 70B is the stronger model overall, scoring 33.0 to 27.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-4.1 nano scores higher in 3 categories and Tulu 3 (Tülu 3) 70B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Tulu 3 (Tülu 3) 70B leads 23.9 to 8.5.
- The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano 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 nano | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 27.9 | 33.0 |
| Released | 2025-04-14 | 2024-11-21 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 14 |
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Category by category
Coding Tulu 3 (Tülu 3) 70B leads
GPT-4.1 nano: 24.1 (#330), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1306 | 1235 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.5 (#104), Tulu 3 (Tülu 3) 70B: —
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Tulu 3 (Tülu 3) 70B leads
GPT-4.1 nano: 8.5 (#349), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1220 |
| 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 GPT-4.1 nano leads
GPT-4.1 nano: 26.9 (#252), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 4.4% |
| LMArena Math | 1274 | 1242 |
| MATH Level 5 | 70% | 42.7% |
| Omni-MATH | 36.7% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Tulu 3 (Tülu 3) 70B leads
GPT-4.1 nano: 21.8 (#273), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | 48.9% | 46.3% |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1272 | — |
Multimodal Not comparable
GPT-4.1 nano: 29.2 (#113), Tulu 3 (Tülu 3) 70B: —
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual GPT-4.1 nano leads
GPT-4.1 nano: 41.6 (#205), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1260 | 1236 |
| LMArena Chinese | 1270 | 1249 |
| LMArena Russian | 1261 | 1246 |
| LMArena German | 1288 | — |
| LMArena Japanese | 1198 | — |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 67.8 (#193), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1267 | 1233 |
| IFEval | 84.3% | — |
Long Context Tulu 3 (Tülu 3) 70B leads
GPT-4.1 nano: 23.7 (#296), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1283 | 1224 |
| Fiction.LiveBench | 25% | — |
Writing & Preference Tulu 3 (Tülu 3) 70B leads
GPT-4.1 nano: 40.5 (#243), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | GPT-4.1 nano | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1285 | 1256 |
| LMArena Creative Writing | 1260 | 1231 |
| LMArena Multi-Turn | 1277 | 1252 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Tulu 3 (Tülu 3) 70B?
Tulu 3 (Tülu 3) 70B is the stronger model overall, scoring 33.0 to 27.9 on the Noometry Index.
Is GPT-4.1 nano or Tulu 3 (Tülu 3) 70B better for coding?
Tulu 3 (Tülu 3) 70B scores higher on coding benchmarks: 36.0 versus 24.1 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and Tulu 3 (Tülu 3) 70B share?
14 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.