# GPT-5.1-Codex vs Trinity Large Thinking

> GPT-5.1-Codex and Trinity Large Thinking score almost the same on the Noometry Index (38.6 vs 38.6), so choose on price, context window or the category you care about most.

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

## Summary

- They share 1 benchmark with published results for both. GPT-5.1-Codex scores higher in 1 category and Trinity Large Thinking in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5.1-Codex leads 41.9 to 34.1.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 38.6 | 38.6 |
| Rank | 186 | 185 |
| Context | 400K | 262K |
| Input $/M | $1.25 | $0.25 |
| Output $/M | $10 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.1-Codex: 41.9 (#116)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1337 | 1238 |
| SWE-bench Verified (bash only) | 66% | — |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
| ALE-Bench | 1,245 | — |

## Agentic & Tool Use

- GPT-5.1-Codex: 38.0 (#33)
- Trinity Large Thinking: —

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |

## Reasoning

- GPT-5.1-Codex: —
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | GPT-5.1-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% |

## Math

- GPT-5.1-Codex: 30.3 (#235)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| ProofBench | 9% | — |
| LMArena Math | — | 1366 |

## Knowledge

- GPT-5.1-Codex: —
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |

## Multilingual

- GPT-5.1-Codex: —
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |

## Instruction Following

- GPT-5.1-Codex: —
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |

## Long Context

- GPT-5.1-Codex: —
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |

## Writing & Preference

- GPT-5.1-Codex: —
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | GPT-5.1-Codex | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| LMArena Multi-Turn | — | 1342 |

## FAQ

### Is GPT-5.1-Codex better than Trinity Large Thinking?

GPT-5.1-Codex and Trinity Large Thinking score almost the same on the Noometry Index (38.6 vs 38.6), so choose on price, context window or the category you care about most.

### Which is cheaper, GPT-5.1-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-5.1-Codex lists at $1.25 and $10.

### Is GPT-5.1-Codex or Trinity Large Thinking better for coding?

GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.1-Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.1-Codex and Trinity Large Thinking share?

1 benchmark has published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Trinity Large Thinking has 24.