Model comparison
Llama 3-8B vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 25.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Arcee AISummary
- They share 17 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Trinity Large Thinking in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 7.8.
Side by side
| Llama 3-8B | Trinity Large Thinking | |
|---|---|---|
| Provider | Meta | Arcee AI |
| Noometry Index | 25.5 | 38.6 |
| Released | 2024-04-18 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 34 | 24 |
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Category by category
Coding Trinity Large Thinking leads
Llama 3-8B: 31.0 (#289), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1152 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Trinity Large Thinking leads
Llama 3-8B: 14.3 (#326), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 41.6% |
| DTBench | 43.9% | — |
| Surface Evolver Bench | — | 15.6% |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Trinity Large Thinking leads
Llama 3-8B: 8.8 (#323), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1151 | 1366 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Trinity Large Thinking leads
Llama 3-8B: 7.8 (#308), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1113 | 1360 |
| GPQA Diamond | 26.1% | — |
| Vectara Hallucination Rate | — | 6.9% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Trinity Large Thinking leads
Llama 3-8B: 30.8 (#261), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1098 | 1325 |
| LMArena Chinese | 1076 | 1373 |
| LMArena French | 1159 | 1374 |
| LMArena German | 1104 | 1356 |
| LMArena Japanese | 967 | 1311 |
| LMArena Korean | 1004 | 1306 |
| LMArena Russian | 1109 | 1337 |
| LMArena Spanish | 1173 | 1357 |
Instruction Following Trinity Large Thinking leads
Llama 3-8B: 58.4 (#260), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1127 | 1334 |
Long Context Trinity Large Thinking leads
Llama 3-8B: 34.2 (#251), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1128 | 1355 |
Writing & Preference Trinity Large Thinking leads
Llama 3-8B: 37.5 (#256), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Llama 3-8B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1166 | 1340 |
| LMArena Creative Writing | 1150 | 1320 |
| LMArena Multi-Turn | 1152 | 1342 |
Frequently asked questions
Is Llama 3-8B better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 25.5 on the Noometry Index.
Is Llama 3-8B or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Trinity Large Thinking share?
17 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Trinity Large Thinking has 24.