Trinity Large Thinking vs Llama 3.3 70B Instruct
arcee-ai/trinity-large-thinking · meta-llama/llama-3.3-70b-instruct
As of October 31, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0479 per million input tokens and $0.1533 per million output, versus $0.2344 / $0.8438 for Trinity Large Thinking, about 82% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Llama 3.3 70B Instruct to cut cost; choose Trinity Large Thinking when context size wins. Trinity Large Thinking carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.
Trinity Large Thinking vs Llama 3.3 70B Instruct, side by side
| Spec | Trinity Large Thinking | Llama 3.3 70B Instruct |
|---|---|---|
| Price · input / 1M | $0.2344 | $0.0479 |
| Price · output / 1M | $0.8438 | $0.1533 |
| Context length | 256,000 | 128,000 |
| Max output tokens | 32,768 | 4,096 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | — |
| % off list | 22% off | 52% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026.
Trinity Large Thinking vs Llama 3.3 70B Instruct — FAQ
Is Trinity Large Thinking or Llama 3.3 70B Instruct cheaper?
Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 82%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Trinity Large Thinking and Llama 3.3 70B Instruct?
Trinity Large Thinking: $0.2344 in / $0.8438 out per 1M tokens. Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. That's roughly a 82% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Trinity Large Thinking and Llama 3.3 70B Instruct with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.