Model comparison
Codellama 70b Instruct vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 33.3 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Arcee AISummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Trinity Large Thinking in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Trinity Large Thinking leads 46.4 to 24.9.
Side by side
| Codellama 70b Instruct | Trinity Large Thinking | |
|---|---|---|
| Provider | Meta | Arcee AI |
| Noometry Index | 33.3 | 38.1 |
| 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 | 7 | 24 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.0 (#189), Trinity Large Thinking: 33.8 (#238)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1381 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 19.2 (#241), Trinity Large Thinking: 16.3 (#298)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
Codellama 70b Instruct: —, Trinity Large Thinking: 34.9 (#149)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
Knowledge Not comparable
Codellama 70b Instruct: —, Trinity Large Thinking: 40.3 (#107)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1359 |
Multilingual Trinity Large Thinking leads
Codellama 70b Instruct: 24.9 (#283), Trinity Large Thinking: 46.4 (#155)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 992 | 1325 |
| LMArena Chinese | — | 1372 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1338 |
| LMArena Spanish | — | 1356 |
Instruction Following Trinity Large Thinking leads
Codellama 70b Instruct: 52.1 (#288), Trinity Large Thinking: 70.7 (#157)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1024 | 1334 |
Long Context Not comparable
Codellama 70b Instruct: —, Trinity Large Thinking: 41.2 (#139)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Trinity Large Thinking leads
Codellama 70b Instruct: 33.6 (#272), Trinity Large Thinking: 54.0 (#152)
| Benchmark | Codellama 70b Instruct | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1057 | 1340 |
| LMArena Creative Writing | — | 1321 |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Codellama 70b Instruct better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.1 to 33.3 on the Noometry Index.
Is Codellama 70b Instruct or Trinity Large Thinking better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.0 versus 33.8 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Trinity Large Thinking share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Trinity Large Thinking has 24.