# Llama2 70b Steerlm Chat vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.6 to 31.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama2-70b-steerlm-chat-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 1 category and Trinity Large Thinking in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Trinity Large Thinking leads 53.8 to 31.6.

## Snapshot

| | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| Provider | NVIDIA | Arcee AI |
| Noometry Index | 31.8 | 38.6 |
| Rank | 268 | 185 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.80 |
| Weights | Open | Open |

## Coding

- Llama2 70b Steerlm Chat: 29.9 (#300)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1025 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |

## Reasoning

- Llama2 70b Steerlm Chat: 20.0 (#246)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- Llama2 70b Steerlm Chat: 31.3 (#226)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1072 | 1366 |

## Knowledge

- Llama2 70b Steerlm Chat: —
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |

## Multilingual

- Llama2 70b Steerlm Chat: 28.8 (#270)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1063 | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |

## Instruction Following

- Llama2 70b Steerlm Chat: 54.2 (#279)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1060 | 1334 |

## Long Context

- Llama2 70b Steerlm Chat: 30.4 (#288)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 998 | 1355 |

## Writing & Preference

- Llama2 70b Steerlm Chat: 31.6 (#283)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | Llama2 70b Steerlm Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1098 | 1340 |
| LMArena Creative Writing | 1091 | 1320 |
| LMArena Multi-Turn | 1058 | 1342 |

## FAQ

### Is Llama2 70b Steerlm Chat better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 31.8 on the Noometry Index.

### Is Llama2 70b Steerlm Chat or Trinity Large Thinking better for coding?

Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 29.9 in the Noometry coding category.

### How many benchmarks do Llama2 70b Steerlm Chat and Trinity Large Thinking share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Trinity Large Thinking has 24.