Model comparison
GPT-5.3 Chat vs Trinity Large Thinking
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.6 on the Noometry Index. Trinity Large Thinking costs 12× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Arcee AISummary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Trinity Large Thinking | |
|---|---|---|
| Provider | OpenAI | Arcee AI |
| Noometry Index | 42.8 | 38.6 |
| Released | 2026-03-03 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 16K | 80K |
| Input $ / M tokens | $1.75 | $0.25 |
| Output $ / M tokens | $14 | $0.80 |
| Results tracked | 18 | 24 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Trinity Large Thinking: 34.1 (#244)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1408 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Trinity Large Thinking: 16.9 (#298)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Too close to call
GPT-5.3 Chat: 38.2 (#142), Trinity Large Thinking: 37.6 (#149)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1389 | 1366 |
Knowledge Trinity Large Thinking leads
GPT-5.3 Chat: 38.8 (#140), Trinity Large Thinking: 40.9 (#113)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1397 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Trinity Large Thinking: 46.2 (#160)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1382 | 1325 |
| LMArena Chinese | 1432 | 1373 |
| LMArena French | 1397 | 1374 |
| LMArena German | 1384 | 1356 |
| LMArena Japanese | 1352 | 1311 |
| LMArena Korean | 1346 | 1306 |
| LMArena Russian | 1400 | 1337 |
| LMArena Spanish | 1371 | 1357 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Trinity Large Thinking: 70.5 (#162)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1378 | 1334 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Trinity Large Thinking: 41.3 (#144)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1396 | 1355 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Trinity Large Thinking: 53.8 (#158)
| Benchmark | GPT-5.3 Chat | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1389 | 1340 |
| LMArena Creative Writing | 1355 | 1320 |
| LMArena Multi-Turn | 1412 | 1342 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Trinity Large Thinking?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.6 on the Noometry Index. Trinity Large Thinking costs 12× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Chat 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 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or Trinity Large Thinking better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 34.1 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-5.3 Chat and Trinity Large Thinking share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Trinity Large Thinking has 24.