# Claude 3.5 Haiku vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.6 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-haiku-vs-trinity-large-thinking
- Last updated: 2026-10-11
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 1 category and Trinity Large Thinking in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 37.6 to 14.7.
- The biggest single-benchmark swing is SciCode: 27.4% for Claude 3.5 Haiku and 36.1% for Trinity Large Thinking.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| Provider | Anthropic | Arcee AI |
| Noometry Index | 29.2 | 38.6 |
| Rank | 315 | 185 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.80 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.5 Haiku: 32.9 (#265)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| SciCode | 27.4% | 36.1% |
| LMArena Coding | 1286 | 1381 |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1238 |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |

## Agentic & Tool Use

- Claude 3.5 Haiku: 28.0 (#95)
- Trinity Large Thinking: —

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| BALROG | 19.3% | — |

## Reasoning

- Claude 3.5 Haiku: 17.7 (#290)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| CritPt | 0% | 0.9% |
| LMArena Hard Prompts | 1251 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |

## Math

- Claude 3.5 Haiku: 14.7 (#300)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1244 | 1366 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Claude 3.5 Haiku: 18.7 (#281)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1208 | 1360 |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| Vectara Hallucination Rate | — | 6.9% |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |

## Multimodal

- Claude 3.5 Haiku: 26.8 (#117)
- Trinity Large Thinking: —

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |

## Multilingual

- Claude 3.5 Haiku: 40.0 (#218)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1238 | 1325 |
| LMArena Chinese | 1229 | 1373 |
| LMArena French | 1264 | 1374 |
| LMArena German | 1237 | 1356 |
| LMArena Japanese | 1175 | 1311 |
| LMArena Korean | 1173 | 1306 |
| LMArena Russian | 1253 | 1337 |
| LMArena Spanish | 1261 | 1357 |

## Instruction Following

- Claude 3.5 Haiku: 62.9 (#234)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1241 | 1334 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |

## Long Context

- Claude 3.5 Haiku: 38.3 (#200)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1261 | 1355 |

## Writing & Preference

- Claude 3.5 Haiku: 42.7 (#234)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | Claude 3.5 Haiku | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1255 | 1340 |
| LMArena Creative Writing | 1233 | 1320 |
| LMArena Multi-Turn | 1265 | 1342 |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |

## FAQ

### Is Claude 3.5 Haiku better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.6 to 29.2 on the Noometry Index.

### Is Claude 3.5 Haiku or Trinity Large Thinking better for coding?

Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 32.9 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Haiku and Trinity Large Thinking share?

19 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Trinity Large Thinking has 24.