Model comparison
MiniMax-M2 vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 36.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
MiniMax
Arcee AISummary
- They share 17 benchmarks with published results for both. MiniMax-M2 scores higher in 2 categories and Trinity Large Thinking in 6 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2 leads 39.1 to 33.8.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
- Trinity Large Thinking accepts more context: 262K tokens versus 205K.
Side by side
| MiniMax-M2 | Trinity Large Thinking | |
|---|---|---|
| Provider | MiniMax | Arcee AI |
| Noometry Index | 36.9 | 38.1 |
| Released | 2025-10-27 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 80K |
| Input $ / M tokens | $0.30 | $0.25 |
| Output $ / M tokens | $1.20 | $0.80 |
| Results tracked | 21 | 24 |
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Category by category
Coding MiniMax-M2 leads
MiniMax-M2: 39.1 (#151), Trinity Large Thinking: 33.8 (#238)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1297 | 1238 |
| LMArena Coding | 1370 | 1381 |
| SWE-bench Verified (bash only) | 61% | — |
| SciCode | — | 36.1% |
Agentic & Tool Use Not comparable
MiniMax-M2: 24.9 (#102), Trinity Large Thinking: —
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning MiniMax-M2 leads
MiniMax-M2: 18.6 (#256), Trinity Large Thinking: 16.3 (#298)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 14.8% | 16.5% |
| LMArena Hard Prompts | 1357 | 1350 |
| Kagi LLM Benchmark | 57.8% | — |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Too close to call
MiniMax-M2: 34.6 (#158), Trinity Large Thinking: 34.9 (#149)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1350 | 1366 |
Knowledge Trinity Large Thinking leads
MiniMax-M2: 36.3 (#160), Trinity Large Thinking: 40.3 (#107)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1336 | 1359 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Too close to call
MiniMax-M2: 45.6 (#165), Trinity Large Thinking: 46.4 (#155)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1314 | 1325 |
| LMArena Chinese | 1367 | 1372 |
| LMArena French | 1336 | 1374 |
| LMArena German | 1366 | 1356 |
| LMArena Russian | 1332 | 1338 |
| LMArena Spanish | 1326 | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
Instruction Following Too close to call
MiniMax-M2: 70.4 (#160), Trinity Large Thinking: 70.7 (#157)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1329 | 1334 |
Long Context Too close to call
MiniMax-M2: 40.5 (#148), Trinity Large Thinking: 41.2 (#139)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1332 | 1355 |
Writing & Preference Too close to call
MiniMax-M2: 53.3 (#157), Trinity Large Thinking: 54.0 (#152)
| Benchmark | MiniMax-M2 | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1340 | 1340 |
| LMArena Creative Writing | 1288 | 1321 |
| LMArena Multi-Turn | 1362 | 1342 |
Frequently asked questions
Is MiniMax-M2 better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 36.9 on the Noometry Index.
Which is cheaper, MiniMax-M2 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 lists at $0.30 and $1.20.
Is MiniMax-M2 or Trinity Large Thinking better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.1 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 and Trinity Large Thinking share?
17 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Trinity Large Thinking has 24.