Model comparison
DeepSeek LLM 67B vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Trinity Large Thinking in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 7.0.
Side by side
| DeepSeek LLM 67B | Trinity Large Thinking | |
|---|---|---|
| Provider | DeepSeek | Arcee AI |
| Noometry Index | 24.9 | 38.6 |
| Released | 2023-11-29 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 15 | 24 |
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Category by category
Coding Trinity Large Thinking leads
DeepSeek LLM 67B: 31.9 (#278), Trinity Large Thinking: 34.1 (#244)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1096 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
Reasoning Too close to call
DeepSeek LLM 67B: 16.5 (#304), Trinity Large Thinking: 16.9 (#298)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 110.5 | — |
Math Trinity Large Thinking leads
DeepSeek LLM 67B: 8.7 (#324), Trinity Large Thinking: 37.6 (#149)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1108 | 1366 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
Knowledge Trinity Large Thinking leads
DeepSeek LLM 67B: 7.0 (#313), Trinity Large Thinking: 40.9 (#113)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
Multilingual Trinity Large Thinking leads
DeepSeek LLM 67B: 29.4 (#267), Trinity Large Thinking: 46.2 (#160)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1073 | 1325 |
| LMArena Chinese | 1132 | 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
DeepSeek LLM 67B: 55.4 (#277), Trinity Large Thinking: 70.5 (#162)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1079 | 1334 |
Long Context Trinity Large Thinking leads
DeepSeek LLM 67B: 33.1 (#265), Trinity Large Thinking: 41.3 (#144)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1092 | 1355 |
Writing & Preference Trinity Large Thinking leads
DeepSeek LLM 67B: 31.6 (#282), Trinity Large Thinking: 53.8 (#158)
| Benchmark | DeepSeek LLM 67B | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1105 | 1340 |
| LMArena Creative Writing | 1067 | 1320 |
| LMArena Multi-Turn | 1082 | 1342 |
Frequently asked questions
Is DeepSeek LLM 67B better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Trinity Large Thinking share?
10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Trinity Large Thinking has 24.