Model comparison
C4ai Aya Expanse 32b vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 35.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
CohereSummary
- They share 17 benchmarks with published results for both. C4ai Aya Expanse 32b scores higher in 1 category and MiMo-V2-Pro in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.9 to 42.4.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
- C4ai Aya Expanse 32b has downloadable open weights; the other is API-only.
Side by side
| C4ai Aya Expanse 32b | MiMo-V2-Pro | |
|---|---|---|
| Provider | Cohere | Xiaomi |
| Noometry Index | 35.3 | 42.4 |
| Released | 2024-10-24 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 18 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 34.3 (#227), MiMo-V2-Pro: 43.4 (#76)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1197 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |
Reasoning C4ai Aya Expanse 32b leads
C4ai Aya Expanse 32b: 22.3 (#183), MiMo-V2-Pro: 21.3 (#200)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1193 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
Math MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 31.4 (#195), MiMo-V2-Pro: 36.7 (#104)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1200 | 1447 |
Knowledge MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 32.6 (#202), MiMo-V2-Pro: 40.8 (#106)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1182 | 1479 |
| Vectara Hallucination Rate | 10.9% | — |
Multilingual MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 38.5 (#225), MiMo-V2-Pro: 52.9 (#77)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1213 | 1416 |
| LMArena Chinese | 1210 | 1455 |
| LMArena French | 1247 | 1470 |
| LMArena German | 1199 | 1417 |
| LMArena Japanese | 1163 | 1366 |
| LMArena Korean | 1158 | 1401 |
| LMArena Russian | 1227 | 1427 |
| LMArena Spanish | 1193 | 1458 |
Instruction Following MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 62.9 (#232), MiMo-V2-Pro: 76.2 (#46)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1196 | 1444 |
Long Context MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 37.2 (#215), MiMo-V2-Pro: 41.5 (#133)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1228 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
C4ai Aya Expanse 32b: 42.4 (#230), MiMo-V2-Pro: 62.9 (#67)
| Benchmark | C4ai Aya Expanse 32b | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1224 | 1436 |
| LMArena Creative Writing | 1200 | 1415 |
| LMArena Multi-Turn | 1190 | 1456 |
Frequently asked questions
Is C4ai Aya Expanse 32b better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 35.3 on the Noometry Index.
Is C4ai Aya Expanse 32b or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do C4ai Aya Expanse 32b and MiMo-V2-Pro share?
17 benchmarks have published results for both models. C4ai Aya Expanse 32b has 18 scored results on Noometry and MiMo-V2-Pro has 23.