# GPT-5.3 Codex vs Trinity Large Thinking

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 38.1 on the Noometry Index. Trinity Large Thinking costs 12× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Trinity Large Thinking in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 33.8.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 45.5 | 38.1 |
| Rank | 61 | 180 |
| Context | 400K | 262K |
| Input $/M | $1.75 | $0.25 |
| Output $/M | $14 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Trinity Large Thinking: 33.8 (#238)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1408 | 1238 |
| SWE-bench Verified | 74.8% | — |
| SciCode | — | 36.1% |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1381 |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Trinity Large Thinking: —

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Trinity Large Thinking: 16.3 (#298)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 156.84 | — |

## Math

- GPT-5.3 Codex: —
- Trinity Large Thinking: 34.9 (#149)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |

## Knowledge

- GPT-5.3 Codex: —
- Trinity Large Thinking: 40.3 (#107)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1359 |

## Multilingual

- GPT-5.3 Codex: —
- Trinity Large Thinking: 46.4 (#155)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1372 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1312 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1338 |
| LMArena Spanish | — | 1356 |

## Instruction Following

- GPT-5.3 Codex: —
- Trinity Large Thinking: 70.7 (#157)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |

## Long Context

- GPT-5.3 Codex: —
- Trinity Large Thinking: 41.2 (#139)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |

## Writing & Preference

- GPT-5.3 Codex: —
- Trinity Large Thinking: 54.0 (#152)

| Benchmark | GPT-5.3 Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1321 |
| LMArena Multi-Turn | — | 1342 |

## FAQ

### Is GPT-5.3 Codex better than Trinity Large Thinking?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 38.1 on the Noometry Index. Trinity Large Thinking costs 12× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Codex 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; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Trinity Large Thinking better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.3 Codex and Trinity Large Thinking share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Trinity Large Thinking has 24.