Model comparison
DeepSeek-R1-Distill-Llama-70B vs Trinity Large Thinking
DeepSeek-R1-Distill-Llama-70B and Trinity Large Thinking score almost the same on the Noometry Index (37.4 vs 38.1), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeek
Arcee AISummary
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.3 to 30.7.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking | |
|---|---|---|
| Provider | DeepSeek | Arcee AI |
| Noometry Index | 37.4 | 38.1 |
| Released | 2025-01-20 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 13 | 24 |
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Category by category
Coding DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.3 (#197), Trinity Large Thinking: 33.8 (#238)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1381 |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.1 (#150), Trinity Large Thinking: 16.3 (#298)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1350 |
| LiveBench Data Analysis | 55.9% | — |
| Surface Evolver Bench | — | 15.6% |
| LiveBench | 54.5% | — |
Math Too close to call
DeepSeek-R1-Distill-Llama-70B: 34.3 (#161), Trinity Large Thinking: 34.9 (#149)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1366 |
| MATH Level 5 | 89.9% | — |
Knowledge Trinity Large Thinking leads
DeepSeek-R1-Distill-Llama-70B: 30.7 (#216), Trinity Large Thinking: 40.3 (#107)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1359 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Trinity Large Thinking: 46.4 (#155)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 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
DeepSeek-R1-Distill-Llama-70B: 68.3 (#185), Trinity Large Thinking: 70.7 (#157)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Trinity Large Thinking: 41.2 (#139)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Trinity Large Thinking leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#189), Trinity Large Thinking: 54.0 (#152)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1321 |
| LMArena Multi-Turn | — | 1342 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Trinity Large Thinking?
DeepSeek-R1-Distill-Llama-70B and Trinity Large Thinking score almost the same on the Noometry Index (37.4 vs 38.1), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Llama-70B or Trinity Large Thinking better for coding?
DeepSeek-R1-Distill-Llama-70B scores higher on coding benchmarks: 36.3 versus 33.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Trinity Large Thinking share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Trinity Large Thinking has 24.