Trinity Large Thinking vs DeepSeek V3.2
Both have similar output pricing, while Trinity Large Thinking offers a larger context window. Choose Trinity Large Thinking or DeepSeek V3.2 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Trinity Large Thinking | DeepSeek V3.2 |
|---|---|---|
| Provider | Arcee AI | DeepSeek |
| Input / 1M tokens | $0.25 | $0.26 |
| Output / 1M tokens | $0.80 | $0.80 |
| Context window | 262K | 164K |
| Parameters | — | — |
| Open weights | — | — |
| Released | — | — |
| LMArena (Chatbot Arena) Elo score | 1340 | 1424 |
| LMArena WebDev Elo score | 1238 | 1362 |
| LiveBench score | — | 63.1 |
| SWE-bench Verified score | — | 70.0 |
| Aider Polyglot score | — | 74.2 |
| SWE-bench Multilingual score | — | 59.0 |
| Epoch Capabilities Index score | — | 146 |
FAQ
Is Trinity Large Thinking or DeepSeek V3.2 cheaper?
Trinity Large Thinking and DeepSeek V3.2 have comparable output pricing.
Which has the larger context window, Trinity Large Thinking or DeepSeek V3.2?
Trinity Large Thinking has the larger context window (262K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.