Model comparison
Gemini 1.0 Pro vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 27.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
GoogleSummary
- They share 16 benchmarks with published results for both. Gemini 1.0 Pro 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 9.3.
Side by side
| Gemini 1.0 Pro | MiMo-V2-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 27.3 | 43.0 |
| Released | 2023-12-13 | 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 | 24 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Gemini 1.0 Pro: 32.2 (#275), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1108 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Reasoning MiMo-V2-Pro leads
Gemini 1.0 Pro: 17.1 (#296), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| DTBench | 45.9% | — |
| Epoch Capabilities Index | 117.04 | — |
Math MiMo-V2-Pro leads
Gemini 1.0 Pro: 9.3 (#321), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1132 | 1447 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 11.2% | — |
Knowledge MiMo-V2-Pro leads
Gemini 1.0 Pro: 15.6 (#291), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1059 | 1478 |
| GPQA Diamond | 34% | — |
| MMLU | 70% | — |
Multilingual MiMo-V2-Pro leads
Gemini 1.0 Pro: 33.4 (#252), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1138 | 1416 |
| LMArena Chinese | 1124 | 1456 |
| LMArena French | 1145 | 1469 |
| LMArena German | 1125 | 1417 |
| LMArena Japanese | 1023 | 1366 |
| LMArena Russian | 1186 | 1427 |
| LMArena Spanish | 1119 | 1457 |
| LMArena Korean | — | 1400 |
Instruction Following MiMo-V2-Pro leads
Gemini 1.0 Pro: 57.6 (#267), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1114 | 1445 |
Long Context MiMo-V2-Pro leads
Gemini 1.0 Pro: 34.3 (#249), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1132 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
Gemini 1.0 Pro: 36.0 (#264), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Gemini 1.0 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1149 | 1436 |
| LMArena Creative Writing | 1131 | 1415 |
| LMArena Multi-Turn | 1139 | 1456 |
Frequently asked questions
Is Gemini 1.0 Pro better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 32.2 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and MiMo-V2-Pro share?
16 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and MiMo-V2-Pro has 23.