Model comparison
MiMo-V2-Pro vs Tulu 3 (Tülu 3) 70B
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 33.0 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. MiMo-V2-Pro 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 MiMo-V2-Pro leads 39.5 to 14.2.
- Tulu 3 (Tülu 3) 70B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Xiaomi | Allen Institute for AI (Ai2) |
| Noometry Index | 43.0 | 33.0 |
| Released | 2026-03-18 | 2024-11-21 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 23 | 14 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1476 | 1235 |
| LMArena WebDev | 1433 | — |
| ALE-Bench | 785.17 | — |
Reasoning Tulu 3 (Tülu 3) 70B leads
MiMo-V2-Pro: 22.1 (#206), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1457 | 1220 |
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 39.5 (#102), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Math | 1447 | 1242 |
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| MATH Level 5 | — | 42.7% |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 41.4 (#111), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| LMArena Expert | 1478 | — |
Multilingual MiMo-V2-Pro leads
MiMo-V2-Pro: 52.7 (#81), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1416 | 1236 |
| LMArena Chinese | 1456 | 1249 |
| LMArena Russian | 1427 | 1246 |
| LMArena French | 1469 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1400 | — |
| LMArena Spanish | 1457 | — |
Instruction Following MiMo-V2-Pro leads
MiMo-V2-Pro: 76.0 (#49), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1445 | 1233 |
Long Context MiMo-V2-Pro leads
MiMo-V2-Pro: 41.5 (#138), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1455 | 1224 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.8 (#70), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | MiMo-V2-Pro | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1436 | 1256 |
| LMArena Creative Writing | 1415 | 1231 |
| LMArena Multi-Turn | 1456 | 1252 |
Frequently asked questions
Is MiMo-V2-Pro better than Tulu 3 (Tülu 3) 70B?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 33.0 on the Noometry Index.
Is MiMo-V2-Pro or Tulu 3 (Tülu 3) 70B better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 36.0 in the Noometry coding category.
How many benchmarks do MiMo-V2-Pro and Tulu 3 (Tülu 3) 70B share?
11 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.