# Mistral Nemo vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.6 to 26.4 on the Noometry Index. Mistral Nemo costs 2.6× 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-nemo-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 12.3.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.

## Snapshot

| | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 26.4 | 38.6 |
| Rank | 337 | 185 |
| Context | 128K | 262K |
| Input $/M | $0.15 | $0.25 |
| Output $/M | $0.15 | $0.80 |
| Weights | Open | Open |

## Coding

- Mistral Nemo: —
- Trinity Large Thinking: 34.1 (#244)

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

## Agentic & Tool Use

- Mistral Nemo: 23.5 (#125)
- Trinity Large Thinking: —

| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |

## Reasoning

- Mistral Nemo: 20.7 (#232)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| DTBench | 48.6% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 118.68 | — |
| PIQA | 83.5% | — |

## Math

- Mistral Nemo: 25.5 (#268)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |

## Knowledge

- Mistral Nemo: 12.3 (#298)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 29.9% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
| BoolQ | 82.5% | — |

## Multilingual

- Mistral Nemo: —
- Trinity Large Thinking: 46.2 (#160)

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

## Instruction Following

- Mistral Nemo: —
- Trinity Large Thinking: 70.5 (#162)

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

## Long Context

- Mistral Nemo: —
- Trinity Large Thinking: 41.3 (#144)

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

## Writing & Preference

- Mistral Nemo: 28.5 (#296)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1342 |

## FAQ

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

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 26.4 on the Noometry Index. Mistral Nemo costs 2.6× 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 Nemo or Trinity Large Thinking?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 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 128K.

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

0 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Trinity Large Thinking has 24.