# Mistral Large 4 vs Trinity Large Thinking

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index. Trinity Large Thinking costs 2.7× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-4-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Mistral Large 4 scores higher in 7 categories and Trinity Large Thinking in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 34.1.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 43.1 | 38.6 |
| Rank | 99 | 185 |
| Context | 1.05M | 262K |
| Input $/M | $0.68 | $0.25 |
| Output $/M | $2.09 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- Mistral Large 4: 48.6 (#57)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1541 | 1238 |
| LMArena Coding | 1475 | 1381 |
| SciCode | — | 36.1% |

## Reasoning

- Mistral Large 4: 22.5 (#192)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 27.4% | 16.5% |
| LMArena Hard Prompts | 1444 | 1350 |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- Mistral Large 4: 40.4 (#91)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1488 | 1366 |

## Knowledge

- Mistral Large 4: 36.6 (#166)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1447 | 1360 |
| SimpleQA Verified | 20% | — |
| Vectara Hallucination Rate | — | 6.9% |

## Multilingual

- Mistral Large 4: 52.6 (#82)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1415 | 1325 |
| LMArena Chinese | 1491 | 1373 |
| LMArena Russian | 1414 | 1337 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |

## Instruction Following

- Mistral Large 4: 75.0 (#76)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1424 | 1334 |

## Long Context

- Mistral Large 4: 43.6 (#89)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1429 | 1355 |

## Writing & Preference

- Mistral Large 4: 60.4 (#97)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1427 | 1340 |
| LMArena Creative Writing | 1361 | 1320 |
| LMArena Multi-Turn | 1424 | 1342 |

## FAQ

### Is Mistral Large 4 better than Trinity Large Thinking?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index. Trinity Large Thinking costs 2.7× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large 4 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; Mistral Large 4 lists at $0.68 and $2.09.

### Is Mistral Large 4 or Trinity Large Thinking better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 262K.

### How many benchmarks do Mistral Large 4 and Trinity Large Thinking share?

14 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Trinity Large Thinking has 24.