Flagship · Apr 2026

Trinity Large (Thinking)

Reasoning-focused model with extended thinking for complex problem-solving.

By Trinity · Text · Apache 2.0

Context

128K tokens

Modality

Text

Architecture

Dense

License

Apache 2.0

Per 1M tokens $0.22 in · $0.85 out
Model details

Specs & substance

Developed by
Trinity
Model family
Trinity
Use case
Flagship
Modality
Text
Context window
128K tokens
Architecture
Dense
Version
Large
License
Apache 2.0
Pricing
$0.22 in · $0.85 out · $0.06 cache read
Released
Apr 2026
Endpoint
parasail-trinity-large-thinking

Reasoning-focused model with extended thinking for complex problem-solving.

Trinity Large (Thinking) is part of the Trinity family by Trinity, and sits in the flagship category. It supports a 128K tokens context window and is built on a Dense architecture.

Key strengths: reasoning. Parasail serves Trinity Large (Thinking) on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.

Integrate

Drop-in via the OpenAI SDK

Point any OpenAI-compatible client at Parasail and change the model name. That's it.

python parasail · Trinity Large (Thinking)
from openai import OpenAI

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

response = client.chat.completions.create(
    model="parasail-trinity-large-thinking",
    messages=[
        {"role": "user", "content": "Hello, what can you do?"}
    ],
    stream=True,
    max_tokens=1000
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
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