Model comparison
DeepSeek-V2.5 (Sep 2024) vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
Arcee AISummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and Trinity Large Thinking in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 25.6 to 16.9.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking | |
|---|---|---|
| Provider | DeepSeek | Arcee AI |
| Noometry Index | 37.6 | 38.6 |
| Released | 2024-09-06 | 2026-04-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 80K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 22 | 24 |
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Category by category
Coding Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Trinity Large Thinking: 34.1 (#244)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1309 | 1381 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Trinity Large Thinking: 16.9 (#298)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Trinity Large Thinking: 37.6 (#149)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1288 | 1366 |
Knowledge Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Trinity Large Thinking: 40.9 (#113)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1266 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Trinity Large Thinking: 46.2 (#160)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1273 | 1325 |
| LMArena Chinese | 1318 | 1373 |
| LMArena French | 1289 | 1374 |
| LMArena German | 1258 | 1356 |
| LMArena Japanese | 1228 | 1311 |
| LMArena Korean | 1209 | 1306 |
| LMArena Russian | 1289 | 1337 |
| LMArena Spanish | 1248 | 1357 |
Instruction Following Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Trinity Large Thinking: 70.5 (#162)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1280 | 1334 |
Long Context Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Trinity Large Thinking: 41.3 (#144)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1301 | 1355 |
Writing & Preference Trinity Large Thinking leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Trinity Large Thinking: 53.8 (#158)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1294 | 1340 |
| LMArena Creative Writing | 1285 | 1320 |
| LMArena Multi-Turn | 1297 | 1342 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Trinity Large Thinking share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Trinity Large Thinking has 24.