# MiniMax-M2.1 vs Trinity Large Thinking

> MiniMax-M2.1 and Trinity Large Thinking score almost the same on the Noometry Index (38.4 vs 38.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/minimax-m2-1-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. MiniMax-M2.1 scores higher in 6 categories and Trinity Large Thinking in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.1 leads 40.1 to 33.8.
- The biggest single-benchmark swing is NYT Connections (extended): 11.2% for MiniMax-M2.1 and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.1.
- Trinity Large Thinking accepts more context: 262K tokens versus 205K.

## Snapshot

| | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| Provider | MiniMax | Arcee AI |
| Noometry Index | 38.4 | 38.1 |
| Rank | 177 | 180 |
| Context | 205K | 262K |
| Input $/M | $0.30 | $0.25 |
| Output $/M | $1.20 | $0.80 |
| Weights | Open | Open |

## Coding

- MiniMax-M2.1: 40.1 (#132)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1384 | 1238 |
| LMArena Coding | 1421 | 1381 |
| SciCode | — | 36.1% |
| ALE-Bench | 623.83 | — |

## Agentic & Tool Use

- MiniMax-M2.1: 27.7 (#91)
- Trinity Large Thinking: —

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 36.6% | — |

## Reasoning

- MiniMax-M2.1: 15.8 (#301)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 11.2% | 16.5% |
| LMArena Hard Prompts | 1410 | 1350 |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- MiniMax-M2.1: 35.6 (#142)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1396 | 1366 |

## Knowledge

- MiniMax-M2.1: 37.7 (#143)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 11.8% | 6.9% |
| LMArena Expert | 1432 | 1359 |

## Multilingual

- MiniMax-M2.1: 50.2 (#123)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1378 | 1325 |
| LMArena Chinese | 1430 | 1372 |
| LMArena French | 1405 | 1374 |
| LMArena German | 1380 | 1356 |
| LMArena Japanese | 1287 | 1312 |
| LMArena Korean | 1297 | 1304 |
| LMArena Russian | 1386 | 1338 |
| LMArena Spanish | 1396 | 1356 |

## Instruction Following

- MiniMax-M2.1: 74.0 (#108)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1399 | 1334 |

## Long Context

- MiniMax-M2.1: 43.2 (#98)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1416 | 1355 |

## Writing & Preference

- MiniMax-M2.1: 58.5 (#114)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | MiniMax-M2.1 | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1392 | 1340 |
| LMArena Creative Writing | 1362 | 1321 |
| LMArena Multi-Turn | 1396 | 1342 |

## FAQ

### Is MiniMax-M2.1 better than Trinity Large Thinking?

MiniMax-M2.1 and Trinity Large Thinking score almost the same on the Noometry Index (38.4 vs 38.1), so choose on price, context window or the category you care about most.

### Which is cheaper, MiniMax-M2.1 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; MiniMax-M2.1 lists at $0.30 and $1.20.

### Is MiniMax-M2.1 or Trinity Large Thinking better for coding?

MiniMax-M2.1 scores higher on coding benchmarks: 40.1 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 205K.

### How many benchmarks do MiniMax-M2.1 and Trinity Large Thinking share?

20 benchmarks have published results for both models. MiniMax-M2.1 has 22 scored results on Noometry and Trinity Large Thinking has 24.