Model comparison
Grok-2 (Dec 2024) vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 33.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 0 categories and MiMo-V2-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2-Pro leads 39.5 to 20.8.
Side by side
| Grok-2 (Dec 2024) | MiMo-V2-Pro | |
|---|---|---|
| Provider | xAI | Xiaomi |
| Noometry Index | 33.7 | 43.0 |
| Released | 2024-08-13 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 34 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Grok-2 (Dec 2024): 33.3 (#258), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1287 | 1476 |
| LMArena WebDev | — | 1433 |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
| ALE-Bench | — | 785.17 |
Reasoning MiMo-V2-Pro leads
Grok-2 (Dec 2024): 16.9 (#299), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1457 |
| SimpleBench | 22.7% | — |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math MiMo-V2-Pro leads
Grok-2 (Dec 2024): 20.8 (#284), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1283 | 1447 |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge MiMo-V2-Pro leads
Grok-2 (Dec 2024): 29.8 (#233), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1254 | 1478 |
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
Multilingual MiMo-V2-Pro leads
Grok-2 (Dec 2024): 43.1 (#188), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1282 | 1416 |
| LMArena Chinese | 1289 | 1456 |
| LMArena French | 1318 | 1469 |
| LMArena German | 1287 | 1417 |
| LMArena Japanese | 1244 | 1366 |
| LMArena Korean | 1237 | 1400 |
| LMArena Russian | 1286 | 1427 |
| LMArena Spanish | 1281 | 1457 |
Instruction Following MiMo-V2-Pro leads
Grok-2 (Dec 2024): 66.9 (#202), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1270 | 1445 |
| LiveBench Instruction Following | 69.6% | — |
Long Context MiMo-V2-Pro leads
Grok-2 (Dec 2024): 38.8 (#190), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1276 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
Grok-2 (Dec 2024): 48.6 (#198), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Grok-2 (Dec 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1305 | 1436 |
| LMArena Creative Writing | 1284 | 1415 |
| LMArena Multi-Turn | 1290 | 1456 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 33.7 on the Noometry Index.
Is Grok-2 (Dec 2024) or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 33.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and MiMo-V2-Pro share?
17 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and MiMo-V2-Pro has 23.