# Llama 3.1 Nemotron 70b Instruct vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.1 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-nemotron-70b-instruct-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 2 categories and Trinity Large Thinking in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Llama 3.1 Nemotron 70b Instruct leads 24.0 to 16.3.

## Snapshot

| | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| Provider | NVIDIA | Arcee AI |
| Noometry Index | 37.0 | 38.1 |
| Rank | 199 | 180 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.80 |
| Weights | Open | Open |

## Coding

- Llama 3.1 Nemotron 70b Instruct: 35.3 (#212)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1272 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 38.7% | — |
| BigCodeBench Complete | 48.2% | — |

## Reasoning

- Llama 3.1 Nemotron 70b Instruct: 24.0 (#156)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- Llama 3.1 Nemotron 70b Instruct: 32.9 (#182)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1271 | 1366 |

## Knowledge

- Llama 3.1 Nemotron 70b Instruct: 33.5 (#194)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1242 | 1359 |
| Vectara Hallucination Rate | — | 6.9% |

## Multilingual

- Llama 3.1 Nemotron 70b Instruct: 40.7 (#212)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1245 | 1325 |
| LMArena Chinese | 1263 | 1372 |
| LMArena Russian | 1227 | 1338 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
| LMArena Spanish | — | 1356 |

## Instruction Following

- Llama 3.1 Nemotron 70b Instruct: 66.2 (#208)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1252 | 1334 |

## Long Context

- Llama 3.1 Nemotron 70b Instruct: 37.5 (#210)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1239 | 1355 |

## Writing & Preference

- Llama 3.1 Nemotron 70b Instruct: 48.6 (#197)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1283 | 1340 |
| LMArena Creative Writing | 1269 | 1321 |
| LMArena Multi-Turn | 1275 | 1342 |

## FAQ

### Is Llama 3.1 Nemotron 70b Instruct better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.1 to 37.0 on the Noometry Index.

### Is Llama 3.1 Nemotron 70b Instruct or Trinity Large Thinking better for coding?

Llama 3.1 Nemotron 70b Instruct scores higher on coding benchmarks: 35.3 versus 33.8 in the Noometry coding category.

### How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Trinity Large Thinking share?

12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Trinity Large Thinking has 24.