Model comparison
Llama 3.1 Nemotron 70b Instruct vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
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 25.0 to 16.9.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking | |
|---|---|---|
| Provider | NVIDIA | Arcee AI |
| Noometry Index | 37.6 | 38.6 |
| Released | 2024-12-18 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 14 | 24 |
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Category by category
Coding Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Trinity Large Thinking: 34.1 (#244)
| 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 leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Trinity Large Thinking: 16.9 (#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 Trinity Large Thinking leads
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1271 | 1366 |
Knowledge Trinity Large Thinking leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1242 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1245 | 1325 |
| LMArena Chinese | 1263 | 1373 |
| LMArena Russian | 1227 | 1337 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |
Instruction Following Trinity Large Thinking leads
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1252 | 1334 |
Long Context Trinity Large Thinking leads
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1238 | 1355 |
Writing & Preference Trinity Large Thinking leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1283 | 1340 |
| LMArena Creative Writing | 1269 | 1320 |
| LMArena Multi-Turn | 1275 | 1342 |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.6 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: 35.9 versus 34.1 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.