Trinity Large Thinking API Coding

Trinity Large Thinking is a powerful model for code generation, debugging, and software development. Use it with Cline, Cursor, OpenCode, or any AI coding tool that supports OpenAI-compatible APIs.

Trinity Large Thinking Pricing

Token TypeQubaxRetailSave
Input (per 1M)$0.272$0.250โ€”
Output (per 1M)$0.980$0.800-22%

A typical coding copilot workload (8K input + 2K output tokens, 500 requests/day) costs approximately $62.06/month on Qubax.

Why use Trinity Large Thinking for coding on Qubax?

  • ๐Ÿ’ปCode completion and generation across 50+ languages
  • ๐Ÿ’ปDebug and fix errors with context-aware suggestions
  • ๐Ÿ’ปWrite unit tests and documentation automatically
  • ๐Ÿ’ปConnect to Cline or Cursor by setting the base URL to api.qubax.ai/v1

About Trinity Large Thinking

Trinity Large Thinking โ€” Arcee reasoning-optimized sparse MoE model with extended chain-of-thought and 256K context. It supports a 256K-token context window and up to 33K output tokens per request. Native capabilities include reasoning, tool calling, structured output, streaming. On Qubax it is served by 90 independent sellers, so pricing stays competitive and uptime stays high.

256K context window33K max output tokensReasoning with selectable effort levels (default)Function & tool callingJSON schema responsesToken streaming

Trinity Large Thinking Coding โ€” code example

Python โ€” streaming code completionpython
from openai import OpenAI

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

stream = client.chat.completions.create(
    model="trinity-large-thinking",
    messages=[{"role": "user", "content": "Refactor this function to be async"}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

More Other models on Qubax

Get started in 60 seconds

  1. 1Create a free account at qubax.ai/register
  2. 2Add crypto credits (200+ coins, $3 minimum, credits never expire)
  3. 3Generate an API key and set your base URL to https://api.qubax.ai/v1
  4. 4Use model ID trinity-large-thinking โ€” done!

Trinity Large Thinking Coding FAQ

How much does Trinity Large Thinking cost for coding?

On Qubax, Trinity Large Thinking costs $0.272 per 1M input tokens and $0.980 per 1M output tokens. Pay with 200+ cryptocurrencies.

Can I use Trinity Large Thinking with my existing tools?

Yes. Qubax is fully OpenAI-compatible. Change your base URL to api.qubax.ai/v1 and use your Qubax key. Works with Cline, Cursor, OpenCode, LangChain, and any OpenAI SDK.

Do I need a credit card?

No. Qubax accepts 200+ cryptocurrencies. No credit card, no KYC.

Start using Trinity Large Thinking for coding

No credit card. Crypto accepted. Credits never expire.

Get started โ†’
Trinity Large Thinking API for Coding ยท Qubax AI