Model comparison
Llama 4 Scout vs Tulu 3 (Tülu 3) 70B
Tulu 3 (Tülu 3) 70B is the stronger model overall, scoring 33.0 to 27.7 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Llama 4 Scout scores higher in 4 categories and Tulu 3 (Tülu 3) 70B in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Tulu 3 (Tülu 3) 70B leads 36.0 to 20.2.
- The biggest single-benchmark swing is MATH Level 5: 62.3% for Llama 4 Scout and 42.7% for Tulu 3 (Tülu 3) 70B.
Side by side
| Llama 4 Scout | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 27.7 | 33.0 |
| Released | 2025-04-05 | 2024-11-21 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 43 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Tulu 3 (Tülu 3) 70B leads
Llama 4 Scout: 20.2 (#339), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1286 | 1235 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.6 (#119), Tulu 3 (Tülu 3) 70B: —
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Tulu 3 (Tülu 3) 70B leads
Llama 4 Scout: 9.1 (#345), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1220 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math Llama 4 Scout leads
Llama 4 Scout: 19.6 (#286), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.8% | 4.4% |
| LMArena Math | 1287 | 1242 |
| MATH Level 5 | 62.3% | 42.7% |
| Omni-MATH | 37.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Llama 4 Scout leads
Llama 4 Scout: 31.9 (#217), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | 51.8% | 46.3% |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1235 | — |
Multimodal Not comparable
Llama 4 Scout: 32.2 (#102), Tulu 3 (Tülu 3) 70B: —
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Llama 4 Scout leads
Llama 4 Scout: 41.0 (#212), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1252 | 1236 |
| LMArena Chinese | 1255 | 1249 |
| LMArena Russian | 1263 | 1246 |
| LMArena French | 1282 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1206 | — |
| LMArena Korean | 1207 | — |
| LMArena Spanish | 1278 | — |
Instruction Following Too close to call
Llama 4 Scout: 65.8 (#217), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1248 | 1233 |
| IFEval | 81.8% | — |
Long Context Tulu 3 (Tülu 3) 70B leads
Llama 4 Scout: 27.5 (#294), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1265 | 1224 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Tulu 3 (Tülu 3) 70B leads
Llama 4 Scout: 37.0 (#261), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | Llama 4 Scout | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1279 | 1256 |
| LMArena Creative Writing | 1249 | 1231 |
| LMArena Multi-Turn | 1280 | 1252 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Tulu 3 (Tülu 3) 70B?
Tulu 3 (Tülu 3) 70B is the stronger model overall, scoring 33.0 to 27.7 on the Noometry Index.
Is Llama 4 Scout or Tulu 3 (Tülu 3) 70B better for coding?
Tulu 3 (Tülu 3) 70B scores higher on coding benchmarks: 36.0 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 4 Scout and Tulu 3 (Tülu 3) 70B share?
14 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.