Model reference · open weights
Trinity-Large-Thinking is an open-weight language model from arcee-ai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOWmgVGeic9WJ.png" alt="Arcee Trinity Large Thinking" style="max-width: 100%; height: auto;" Trinity-Large-Thinking Introduction Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities. Trinity-Large-Thinking generates explicit reasoning traces wrapped in <think...</think blocks before producing its final response. This thinking process is critical to the model's performance — thinking tokens must be kept in context for multi-turn conversations and agentic loops to function correctly. Try it at chat.arcee.ai More details on the training of Trinity Large are available in the technical report. Key Highlights - Agentic-first design: Purpose-built for tool calling, multi-step planning, and agent workflows - State-of-the-art agentic performance: 94.7% on τ²-Bench, 91.9% on PinchBench, 98.2% on LiveCodeBench - Native reasoning traces: Extended chain-of-thought via <think...</think blocks - Compatible with major agent frameworks: Works out of the box with OpenClaw and Hermes Agent - Ready to use on OpenRouter: No setup required — full reasoning and tool calling support via API Model Variants The Trinity Large family consists of four checkpoints: - Trinity-Large-Thinking (this release): Reasoning-optimized, agentic post-training with extended chain-of-thought - Trinity-Large-Preview: Lightly post-trained, chat-ready instruct model (no reasoningcontent). - Trinity-Large-TrueBase: 10T-token pre-anneal pretraining checkpoint - Trinity-Large-Base: Full 17T-token pretrained foundation model with mid-training anneals Architecture Trinity-Large-Thinking shares the same sparse MoE architecture as Trinity-Large-Preview. Benchmarks All models evaluated in mini-swe-agent-v2 Thinking-in-Context: Important Usage Note Trinity-
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | arcee-ai |
|---|---|
| Type | Language models |
| Parameters (lead) | 398.6B |
| Context | 256k tokens |
| Variants | 3 |
| Runs with | transformers |
| Based on | arcee-ai/Trinity-Large-Base |
| Released | 2026-04-01 |
| Popularity | 5k downloads / month |
| Likes | 186 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys trinity-large-thinking for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (trinity-large-thinking below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"trinity-large-thinking","messages":[{"role":"user","content":"Hello"}]}'
Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗