# GPT-4o mini vs Trinity Large Thinking

> Trinity Large Thinking is the stronger model overall, scoring 38.1 to 25.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4o-mini-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and Trinity Large Thinking in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Trinity Large Thinking leads 34.9 to 9.9.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 25.4 | 38.1 |
| Rank | 337 | 180 |
| Context | 128K | 262K |
| Input $/M | $0.15 | $0.25 |
| Output $/M | $0.60 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-4o mini: 21.6 (#330)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1290 | 1381 |
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |

## Agentic & Tool Use

- GPT-4o mini: 27.2 (#95)
- Trinity Large Thinking: —

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| BALROG | 17.4% | — |

## Reasoning

- GPT-4o mini: 8.7 (#343)
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1267 | 1350 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 41.6% |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 126.56 | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |

## Math

- GPT-4o mini: 9.9 (#307)
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1267 | 1366 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |

## Knowledge

- GPT-4o mini: 17.7 (#279)
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1235 | 1359 |
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| Vectara Hallucination Rate | — | 6.9% |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |

## Multimodal

- GPT-4o mini: 25.3 (#117)
- Trinity Large Thinking: —

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |

## Multilingual

- GPT-4o mini: 42.2 (#194)
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1266 | 1325 |
| LMArena Chinese | 1264 | 1372 |
| LMArena French | 1296 | 1374 |
| LMArena German | 1272 | 1356 |
| LMArena Japanese | 1216 | 1312 |
| LMArena Korean | 1195 | 1304 |
| LMArena Russian | 1275 | 1338 |
| LMArena Spanish | 1276 | 1356 |

## Instruction Following

- GPT-4o mini: 62.1 (#234)
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1259 | 1334 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |

## Long Context

- GPT-4o mini: 39.1 (#181)
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1289 | 1355 |

## Writing & Preference

- GPT-4o mini: 39.7 (#243)
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | GPT-4o mini | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1286 | 1340 |
| LMArena Creative Writing | 1268 | 1321 |
| LMArena Multi-Turn | 1285 | 1342 |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |

## FAQ

### Is GPT-4o mini better than Trinity Large Thinking?

Trinity Large Thinking is the stronger model overall, scoring 38.1 to 25.4 on the Noometry Index.

### Which is cheaper, GPT-4o mini or Trinity Large Thinking?

GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

### Is GPT-4o mini or Trinity Large Thinking better for coding?

Trinity Large Thinking scores higher on coding benchmarks: 33.8 versus 21.6 in the Noometry coding category.

### Which has the bigger context window?

Trinity Large Thinking does, with 262K tokens against 128K.

### How many benchmarks do GPT-4o mini and Trinity Large Thinking share?

17 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Trinity Large Thinking has 24.