DeepSeek-V3 vs Trinity-Large-Thinking
Specs, VRAM requirements and download trends — updated 24 October 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3 | Trinity-Large-Thinking |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 684.5 B | 398.6 B |
| Architecture | DeepseekV3ForCausalLM | AfmoeForCausalLM |
| Context length | 163,840 | 262,144 |
| Licence | — | other |
| Commercial use | Unknown | Unknown |
| Languages | — | 11 |
| Downloads 30d | 1,344,492 | 2,245 |
| Downloads all time | 22.5 M | 72 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-12-25 | 2026-04-01 |
| API input price / 1M tokens | $0.26 | $0.25 |
| API output price / 1M tokens | $1.03 | $0.80 |
| Est. cost per 1M input + 1M output tokens | $1.29 | $1.05 |
| Cached input / 1M tokens | — | $0.06 |
| AA Intelligence Index | — | 10.8 |
| AA Coding Index | — | 25.8 |
| AA Agentic Index | — | 1 |
| Max output tokens | 16,000 | 80,000 |
| API providers | 2 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | No | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V3
$1.29
Trinity-Large-Thinking
$1.05
Trinity-Large-Thinking is 1.2× cheaper at list price.
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
1.5 M2 K
DeepSeek-V3
Trinity-Large-Thinking
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Trinity-Large-Thinking · fp16 @ 256K ctx
2,791.0 GB / 24 GB
DeepSeek-V3 · fp16 @ 160K ctx
2,811.5 GB / 24 GB