Model comparison
Gemini 2.0 Pro vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 39.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in long context, where MiMo-V2-Pro leads 41.5 to 29.2.
Side by side
| Gemini 2.0 Pro | MiMo-V2-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 39.1 | 43.0 |
| Released | 2025-02-05 | 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 | 14 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Gemini 2.0 Pro: 37.8 (#187), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| Aider Polyglot | 35.6% | — |
| LMArena WebDev | — | 1433 |
| LiveBench Coding | 63.5% | — |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |
Reasoning Too close to call
Gemini 2.0 Pro: 22.3 (#198), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | — | 25.8% |
| EnigmaEval | 0.7% | — |
| Thematic Generalization | — | 45.9% |
| LiveBench Reasoning | 60.1% | — |
| LMArena Hard Prompts | — | 1457 |
| LiveBench Data Analysis | 68% | — |
| Epoch Capabilities Index | 135.06 | — |
| LiveBench | 65.1% | — |
Math Too close to call
Gemini 2.0 Pro: 39.7 (#100), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LiveBench Math | 71% | — |
| LMArena Math | — | 1447 |
| MATH Level 5 | 83.5% | — |
Knowledge MiMo-V2-Pro leads
Gemini 2.0 Pro: 36.5 (#167), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| GPQA Diamond | 65.7% | — |
| Confabulations | 18.4% | — |
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Gemini 2.0 Pro: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Too close to call
Gemini 2.0 Pro: 75.5 (#59), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LiveBench Instruction Following | 83.4% | — |
| LMArena Instruction Following | — | 1445 |
Long Context MiMo-V2-Pro leads
Gemini 2.0 Pro: 29.2 (#292), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| Fiction.LiveBench | 41.7% | — |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference MiMo-V2-Pro leads
Gemini 2.0 Pro: 52.7 (#165), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Gemini 2.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
| LiveBench Language | 44.9% | — |
Frequently asked questions
Is Gemini 2.0 Pro better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 39.1 on the Noometry Index.
Is Gemini 2.0 Pro or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 37.8 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Pro and MiMo-V2-Pro share?
0 benchmarks have published results for both models. Gemini 2.0 Pro has 14 scored results on Noometry and MiMo-V2-Pro has 23.