Lightly post-trained 398B MoE chat model for creative work, long-context prompts, and tool-using agents
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
| Provider | Provider model ID | Context | Max output | Input | Output | Cache read | Capabilities | Docs |
|---|---|---|---|---|---|---|---|---|
trinity-large-preview-free |
131.072K | 131.072K | — | — | — | Tools | Docs ↗ |
Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.
Recorded from the source catalog and provider listings.
arcee-ai/trinity-large-previewWeights: Hugging Face ↗
Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.
Read the methodologyField-level changes detected between successful source imports.
This record has not changed within the retained import history.
Every figure on this page traces back to one of these records.
Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
GET https://www.modelbench.lol/api/v1/models/arcee-ai/trinity-large-previewcurl "https://www.modelbench.lol/api/v1/models/arcee-ai/trinity-large-preview"Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
Lightly post-trained 398B MoE chat model for creative work, long-context prompts, and tool-using agents. It is published by Arcee Ai and catalogued here from Models.dev.
Trinity Large Preview accepts up to 524.288K tokens of context and returns up to 262.144K output tokens.
Provider catalogs list support for tool calling.
1 provider list this model: OpenCode Zen.
Yes. The weights are published and downloadable from Hugging Face under the OpenMDW-1.1 license.
The catalog records a release date of 2026-01-27, last verified Aug 17, 2026.
Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use
Arcee AI: Virtuoso LargeVirtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...
Arcee AI: Coder LargeCoder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
Trinity Nano PreviewExperimental chat-tuned 6B MoE model with 1B active parameters for low-resource chat and instruction following