# DeepSeek-V3.1-Terminus vs Trinity Large Thinking

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Trinity Large Thinking in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
- Trinity Large Thinking accepts more context: 262K tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| Provider | DeepSeek | Arcee AI |
| Noometry Index | 43.1 | 38.6 |
| Rank | 97 | 185 |
| Context | 164K | 262K |
| Input $/M | $0.27 | $0.25 |
| Output $/M | $1 | $0.80 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| SciCode | 40.6% | 36.1% |
| LMArena Coding | 1426 | 1381 |
| LMArena WebDev | — | 1238 |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| CritPt | 1.7% | 0.9% |
| LMArena Hard Prompts | 1426 | 1350 |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 16.5% |
| Thematic Generalization | — | 41.6% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
| Surface Evolver Bench | — | 15.6% |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1402 | 1366 |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1407 | 1325 |
| LMArena Russian | 1436 | 1337 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1404 | 1334 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1421 | 1355 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | DeepSeek-V3.1-Terminus | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1419 | 1340 |
| LMArena Creative Writing | 1403 | 1320 |
| LMArena Multi-Turn | 1411 | 1342 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Trinity Large Thinking?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1-Terminus or Trinity Large Thinking?

Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.

### Is DeepSeek-V3.1-Terminus or Trinity Large Thinking better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and Trinity Large Thinking share?

12 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Trinity Large Thinking has 24.