# Mistral Medium vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.1 to 36.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-medium-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Mistral Medium scores higher in 5 categories and Trinity Large Thinking in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.3 to 24.9.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 22.7% for Mistral Medium and 6.9% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.

## Snapshot

| | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 36.0 | 38.1 |
| Rank | 211 | 180 |
| Context | 262K | 262K |
| Input $/M | $1.50 | $0.25 |
| Output $/M | $7.50 | $0.80 |
| Weights | Open | Open |

## Coding

- Mistral Medium: 33.8 (#241)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| SciCode | 40.2% | 36.1% |
| LMArena Coding | 1434 | 1381 |
| FrontierCode | 8% | — |
| LMArena WebDev | — | 1238 |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |

## Agentic & Tool Use

- Mistral Medium: 28.1 (#84)
- Trinity Large Thinking: —

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |

## Reasoning

- Mistral Medium: 23.3 (#165)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| CritPt | 0% | 0.9% |
| LMArena Hard Prompts | 1426 | 1350 |
| Surface Evolver Bench | 26.9% | 15.6% |
| Kagi LLM Benchmark | 50% | — |
| NYT Connections (extended) | — | 16.5% |
| Thematic Generalization | — | 41.6% |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |

## Math

- Mistral Medium: 27.2 (#238)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1409 | 1366 |
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Mistral Medium: 24.9 (#260)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 22.7% | 6.9% |
| LMArena Expert | 1408 | 1359 |
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |

## Multimodal

- Mistral Medium: 34.6 (#82)
- Trinity Large Thinking: —

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1172 | — |

## Multilingual

- Mistral Medium: 52.3 (#86)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1408 | 1325 |
| LMArena Chinese | 1448 | 1372 |
| LMArena French | 1460 | 1374 |
| LMArena German | 1433 | 1356 |
| LMArena Japanese | 1378 | 1312 |
| LMArena Korean | 1382 | 1304 |
| LMArena Russian | 1411 | 1338 |
| LMArena Spanish | 1433 | 1356 |

## Instruction Following

- Mistral Medium: 73.9 (#111)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1398 | 1334 |

## Long Context

- Mistral Medium: 42.9 (#108)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1406 | 1355 |

## Writing & Preference

- Mistral Medium: 60.2 (#97)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Mistral Medium | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1424 | 1340 |
| LMArena Creative Writing | 1391 | 1321 |
| LMArena Multi-Turn | 1418 | 1342 |
| Short-Story Creative Writing | 77.3% | — |

## FAQ

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

Trinity Large Thinking is the stronger model overall, scoring 38.1 to 36.0 on the Noometry Index.

### Which is cheaper, Mistral Medium 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 Medium lists at $1.50 and $7.50.

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

They score almost the same on coding (33.8 vs 33.8); test both on your own repository before choosing.

### Which has the bigger context window?

Both accept 262K tokens.

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

21 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Trinity Large Thinking has 24.