Atlas / Models / Arcee Ai / Arcee AI: Trinity Large Preview (free)

Arcee AI: Trinity Large Preview (free)✓ Catalog verified

arcee-ai/trinity-large-preview:free

Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in creative writing, storytelling, role-play, chat scenarios, and real-time voice assistance, better than your average reasoning model usually can. But we’re also introducing some of our newer agentic performance. It was trained to navigate well in agent harnesses like OpenCode, Cline, and Kilo Code, and to handle complex toolchains and long, constraint-filled prompts. The architecture natively supports very long context windows up to 512k tokens, with the Preview API currently served at 128k context using 8-bit quantization for practical deployment. Trinity-Large-Preview reflects Arcee’s efficiency-first design philosophy, offering a production-oriented frontier model with open weights and permissive licensing suitable for real-world applications and experimentation.

Input price
$0.00 /1M
Output price
$0.00 /1M
Context
131K
Modalities
text
Released
Jan 27, 2026
Tool calling
✓ Yes
Atlas signal
85/100
01

Overview

Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in creative writing, storytelling, role-play, chat scenarios, and real-time voice assistance, better than your average reasoning model usually can. But we’re also introducing some of our newer agentic performance. It was trained to navigate well in agent harnesses like OpenCode, Cline, and Kilo Code, and to handle complex toolchains and long, constraint-filled prompts. The architecture natively supports very long context windows up to 512k tokens, with the Preview API currently served at 128k context using 8-bit quantization for practical deployment. Trinity-Large-Preview reflects Arcee’s efficiency-first design philosophy, offering a production-oriented frontier model with open weights and permissive licensing suitable for real-world applications and experimentation.

Access: available through the official Arcee Ai API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierarcee-ai/trinity-large-preview:free
ProviderArcee Ai
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedJan 27, 2026
ModeratedNo
Architecture modalitytext->text
Scheduled expiry2026-04-03
Supported parameters
max_tokensresponse_formatstructured_outputstemperaturetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": null,
  "top_p": 0.8,
  "temperature": 0.8,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": null
}
03

Pricing

Live pricing components for arcee-ai/trinity-large-preview:free as published in the catalog.

$0.00
Input /1M
$0.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0$0.00 / 1MPer input token
Completion tokens$0$0.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Arcee AI: Trinity Large Preview (free)
MMLU Signal (Reasoning)
85signal
Coding Signal (HumanEval proxy)
97signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Arcee AI: Trinity Large Preview (free) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="arcee-ai/trinity-large-preview:free",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Arcee AI: Trinity Large Preview (free) cost?

$0.00 per 1M input tokens and $0.00 per 1M output tokens on the official Arcee Ai API.

What is the context window of Arcee AI: Trinity Large Preview (free)?

Arcee AI: Trinity Large Preview (free) supports up to 131K tokens of context.

Does Arcee AI: Trinity Large Preview (free) support tool / function calling?

Yes, Arcee AI: Trinity Large Preview (free) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Arcee AI: Trinity Large Preview (free)?

Use the official Arcee Ai API with the model id `arcee-ai/trinity-large-preview:free`. See the Quick start section above for code examples.