Model comparison
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.
Last verified . 9 shared benchmarks.
NVIDIA
Arcee AISummary
- 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.
Side by side
| Llama2 70b Steerlm Chat | Trinity Large Thinking | |
|---|---|---|
| Provider | NVIDIA | Arcee AI |
| Noometry Index | 31.8 | 38.6 |
| Released | — | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 9 | 24 |
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Category by category
Coding Trinity Large Thinking leads
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 leads
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 Trinity Large Thinking leads
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 Not comparable
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 Trinity Large Thinking leads
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 Trinity Large Thinking leads
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 Trinity Large Thinking leads
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 Trinity Large Thinking leads
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 |
Frequently asked questions
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.