Model comparison
MiMo-V2.6-Pro vs Trinity Large Thinking
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 38.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Arcee AISummary
- They share 15 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 8 categories and Trinity Large Thinking in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 16.9.
- The biggest single-benchmark swing is CritPt: 26.6% for MiMo-V2.6-Pro and 0.9% 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-V2.6-Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.6-Pro | Trinity Large Thinking | |
|---|---|---|
| Provider | Xiaomi | Arcee AI |
| Noometry Index | 50.3 | 38.6 |
| Released | 2026-09-21 | 2026-04-01 |
| Weights | Open | 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 | 19 | 24 |
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Category by category
Coding MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 55.5 (#23), Trinity Large Thinking: 34.1 (#244)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1629 | 1238 |
| SciCode | 60.9% | 36.1% |
| LMArena Coding | 1534 | 1381 |
| ALE-Bench | 1,158 | — |
Agentic & Tool Use Not comparable
MiMo-V2.6-Pro: 37.5 (#35), Trinity Large Thinking: —
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| APEX-Agents | 59.5% | — |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), Trinity Large Thinking: 16.9 (#298)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| CritPt | 26.6% | 0.9% |
| LMArena Hard Prompts | 1512 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 54.5 (#45), Trinity Large Thinking: 37.6 (#149)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1494 | 1366 |
| ProofBench | 70% | — |
Knowledge MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.5 (#92), Trinity Large Thinking: 40.9 (#113)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1543 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multimodal Not comparable
MiMo-V2.6-Pro: 40.8 (#43), Trinity Large Thinking: —
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1264 | — |
Multilingual MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 56.9 (#14), Trinity Large Thinking: 46.2 (#160)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1474 | 1325 |
| LMArena Chinese | 1529 | 1373 |
| LMArena Russian | 1480 | 1337 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |
Instruction Following MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 78.2 (#12), Trinity Large Thinking: 70.5 (#162)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1493 | 1334 |
Long Context MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 46.0 (#27), Trinity Large Thinking: 41.3 (#144)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1501 | 1355 |
Writing & Preference MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 66.8 (#33), Trinity Large Thinking: 53.8 (#158)
| Benchmark | MiMo-V2.6-Pro | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1492 | 1340 |
| LMArena Creative Writing | 1468 | 1320 |
| LMArena Multi-Turn | 1464 | 1342 |
Frequently asked questions
Is MiMo-V2.6-Pro better than Trinity Large Thinking?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 38.6 on the Noometry Index.
Which is cheaper, MiMo-V2.6-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-V2.6-Pro lists at $0.43 and $0.87.
Is MiMo-V2.6-Pro or Trinity Large Thinking better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2.6-Pro and Trinity Large Thinking share?
15 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Trinity Large Thinking has 24.