Model comparison
Gemma 3n E4b IT vs Tulu 3 (Tülu 3) 70B
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.0 on the Noometry Index.
Last verified . 11 shared benchmarks.
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Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and Tulu 3 (Tülu 3) 70B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 35.1 to 14.2.
Side by side
| Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | |
| Noometry Index | 37.3 | 33.0 |
| Released | — | 2024-11-21 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 18 | 14 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1268 | 1235 |
Reasoning Tulu 3 (Tülu 3) 70B leads
Gemma 3n E4b IT: 19.9 (#247), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1220 |
| Kagi LLM Benchmark | 31.5% | — |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Math | 1251 | 1242 |
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| MATH Level 5 | — | 42.7% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| LMArena Expert | 1246 | — |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1285 | 1236 |
| LMArena Chinese | 1309 | 1249 |
| LMArena Russian | 1288 | 1246 |
| LMArena French | 1330 | — |
| LMArena German | 1311 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.1 (#210), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1233 |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1276 | 1224 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | Gemma 3n E4b IT | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1306 | 1256 |
| LMArena Creative Writing | 1287 | 1231 |
| LMArena Multi-Turn | 1276 | 1252 |
Frequently asked questions
Is Gemma 3n E4b IT better than Tulu 3 (Tülu 3) 70B?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.0 on the Noometry Index.
Is Gemma 3n E4b IT or Tulu 3 (Tülu 3) 70B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 36.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Tulu 3 (Tülu 3) 70B share?
11 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.