Trinity Large Thinking vs DeepSeek V3.2
arcee-ai/trinity-large-thinking · deepseek/deepseek-v3.2
As of October 31, 2026, DeepSeek V3.2 is the cheaper API on UberLLM: $0.0026 per million input tokens and $0.0038 per million output, versus $0.2344 / $0.8438 for Trinity Large Thinking, about 99% 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 DeepSeek V3.2 to cut cost; choose Trinity Large Thinking when context size wins. Trinity Large Thinking carries the larger context window (256,000 vs 160,000 tokens), which can matter for long-document work.
Trinity Large Thinking vs DeepSeek V3.2, side by side
| Spec | Trinity Large Thinking | DeepSeek V3.2 |
|---|---|---|
| Price · input / 1M | $0.2344 | $0.0026 |
| Price · output / 1M | $0.8438 | $0.0038 |
| Context length | 256,000 | 160,000 |
| Max output tokens | 32,768 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 22% off | 99% 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. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Trinity Large Thinking vs DeepSeek V3.2 — FAQ
Is Trinity Large Thinking or DeepSeek V3.2 cheaper?
DeepSeek V3.2 is cheaper on a blended token mix, by about 99%. 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 DeepSeek V3.2?
Trinity Large Thinking: $0.2344 in / $0.8438 out per 1M tokens. DeepSeek V3.2: $0.0026 in / $0.0038 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Trinity Large Thinking and DeepSeek V3.2 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.