# Mistral Small 3.2 vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 2.9× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-small-3-2-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Trinity Large Thinking leads 40.3 to 26.8.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 256K.

## Snapshot

| | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 30.8 | 38.1 |
| Rank | 271 | 180 |
| Context | 256K | 262K |
| Input $/M | $0.0938 | $0.25 |
| Output $/M | $0.25 | $0.80 |
| Weights | Open | Open |

## Coding

- Mistral Small 3.2: —
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |

## Reasoning

- Mistral Small 3.2: 17.5 (#282)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 1% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 131.73 | — |

## Math

- Mistral Small 3.2: 24.9 (#251)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| LMArena Math | — | 1366 |

## Knowledge

- Mistral Small 3.2: 26.8 (#249)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1359 |

## Multilingual

- Mistral Small 3.2: —
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1372 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1338 |
| LMArena Spanish | — | 1356 |

## Instruction Following

- Mistral Small 3.2: —
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |

## Long Context

- Mistral Small 3.2: —
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |

## Writing & Preference

- Mistral Small 3.2: 45.1 (#219)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Mistral Small 3.2 | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1321 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1342 |

## FAQ

### Is Mistral Small 3.2 better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 2.9× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.

### Which is cheaper, Mistral Small 3.2 or Trinity Large Thinking?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 256K.

### How many benchmarks do Mistral Small 3.2 and Trinity Large Thinking share?

0 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Trinity Large Thinking has 24.