Trinity Large Thinking
Trinity Large Thinking is an open-weights language model from Arcee AI, released April 1, 2026. Its makers disclosed about 399B parameters. The context window is 256K tokens. API price: $0.25 input / $0.8 output per million tokens.
Trinity-Large-Thinking is live. A frontier open reasoning model for complex, long-horizon agents and multi-turn tool calling released under Apache 2.0.
Check it against your own PC →
Can you run Trinity Large Thinking locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Benchmark results
Epoch AI has not published results for Trinity Large Thinking yet. New models are usually evaluated within days to weeks.