Model comparison
MiMo-V2-Pro vs Trinity Large Thinking
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 38.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
Arcee AISummary
- They share 20 benchmarks with published results for both. MiMo-V2-Pro scores higher in 8 categories and Trinity Large Thinking in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2-Pro leads 43.8 to 34.1.
- The biggest single-benchmark swing is NYT Connections (extended): 25.8% for MiMo-V2-Pro and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Trinity Large Thinking | |
|---|---|---|
| Provider | Xiaomi | Arcee AI |
| Noometry Index | 43.0 | 38.6 |
| Released | 2026-03-18 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 80K |
| Input $ / M tokens | $0.43 | $0.25 |
| Output $ / M tokens | $0.87 | $0.80 |
| Results tracked | 23 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Trinity Large Thinking: 34.1 (#244)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1433 | 1238 |
| LMArena Coding | 1476 | 1381 |
| SciCode | — | 36.1% |
| ALE-Bench | 785.17 | — |
Reasoning MiMo-V2-Pro leads
MiMo-V2-Pro: 22.1 (#206), Trinity Large Thinking: 16.9 (#298)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 25.8% | 16.5% |
| Thematic Generalization | 45.9% | 41.6% |
| LMArena Hard Prompts | 1457 | 1350 |
| CritPt | — | 0.9% |
| Surface Evolver Bench | — | 15.6% |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 39.5 (#102), Trinity Large Thinking: 37.6 (#149)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1447 | 1366 |
Knowledge Too close to call
MiMo-V2-Pro: 41.4 (#111), Trinity Large Thinking: 40.9 (#113)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1478 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual MiMo-V2-Pro leads
MiMo-V2-Pro: 52.7 (#81), Trinity Large Thinking: 46.2 (#160)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1416 | 1325 |
| LMArena Chinese | 1456 | 1373 |
| LMArena French | 1469 | 1374 |
| LMArena German | 1417 | 1356 |
| LMArena Japanese | 1366 | 1311 |
| LMArena Korean | 1400 | 1306 |
| LMArena Russian | 1427 | 1337 |
| LMArena Spanish | 1457 | 1357 |
Instruction Following MiMo-V2-Pro leads
MiMo-V2-Pro: 76.0 (#49), Trinity Large Thinking: 70.5 (#162)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1445 | 1334 |
Long Context Too close to call
MiMo-V2-Pro: 41.5 (#138), Trinity Large Thinking: 41.3 (#144)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1455 | 1355 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.8 (#70), Trinity Large Thinking: 53.8 (#158)
| Benchmark | MiMo-V2-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1436 | 1340 |
| LMArena Creative Writing | 1415 | 1320 |
| LMArena Multi-Turn | 1456 | 1342 |
Frequently asked questions
Is MiMo-V2-Pro better than Trinity Large Thinking?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 38.6 on the Noometry Index.
Which is cheaper, MiMo-V2-Pro or Trinity Large Thinking?
Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is MiMo-V2-Pro or Trinity Large Thinking better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2-Pro and Trinity Large Thinking share?
20 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Trinity Large Thinking has 24.