Trinity Large Thinking API
Other·Text
Trinity Large Thinking — Arcee reasoning-optimized sparse MoE model with extended chain-of-thought and 256K context.
Pricing
Cheapest live price, per 1 million tokens.
Input / 1M tokens
$0.300 OpenRouter
Output / 1M tokens
$1.00 OpenRouter
Cache read / 1M
Repeated prompt prefixes
Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).
Capabilities · 8
Specifications
- Context window
- 256K
- Max output
- 33K
- Type
- Text
- Creator
- Other
- Live sellers
- 3
- Requests / 24h
- —
Price history · 60 days
Estimated monthly cost
30 days at the cheapest live price.
Quick start
OpenAI-compatible — change the base URL and key. Get a key from the dashboard.
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="YOUR_QUBAX_API_KEY",
)
response = client.chat.completions.create(
model="trinity-large-thinking",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About Trinity Large Thinking
Trinity Large Thinking is a language model developed by Other. It's particularly well-suited for tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction and handling large contexts of up to 256K tokens. Its 256K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 33K tokens in a single response.
As of Nov 5, 2026, Trinity Large Thinking costs $0.296 per 1M input tokens and $0.948 per 1M output tokens on Qubax, versus $0.300 / $1.00 on OpenRouter (1% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $1.07. 3 independent compute providers currently serve it, so requests fail over automatically. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.
Similar-priced alternatives
Frequently asked questions
How much does the Trinity Large Thinking API cost?
On Qubax, Trinity Large Thinking costs $0.296 per 1M input tokens and $0.948 per 1M output tokens. This is 1% cheaper than OpenRouter's price of $0.300 per 1M input tokens.
Is the Trinity Large Thinking API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use Trinity Large Thinking as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is Trinity Large Thinking cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 1% cheaper than OpenRouter's price for Trinity Large Thinking.
How do I pay for Trinity Large Thinking API usage?
Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.
What is the context window of Trinity Large Thinking?
Trinity Large Thinking supports a context window of 256K tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with Trinity Large Thinking?
You can use Trinity Large Thinking to tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast and reliable is Trinity Large Thinking on Qubax?
Responses stream token by token. 3 sellers serve it, so if one is slow or down the request moves to the next.
Trinity Large Thinking vs DeepSeek V4 Flash (Web): which should I choose?
Trinity Large Thinking by Other and DeepSeek V4 Flash (Web) by DeepSeek are both strong models in a similar price tier. Trinity Large Thinking excels at complex reasoning. DeepSeek V4 Flash (Web) comes from a different lab and may have different strengths depending on your workload. On Qubax, Trinity Large Thinking starts at $0.296/1M input tokens while DeepSeek V4 Flash (Web) comes in at $0.171/1M, so DeepSeek V4 Flash (Web) may be worth considering if you need to minimize per-token cost. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use Trinity Large Thinking for commercial projects?
Yes. Trinity Large Thinking on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
Why use Trinity Large Thinking on Qubax?
5.2% cheaper
Providers compete on price — you get the cheapest healthy seller.
Pay with crypto
350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.
OpenAI & Anthropic compatible
Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.
