Head to head
ERNIE 4.5 21B-A3B Thinking vs Trinity Mini 26B-A3B
Side-by-side specs, benchmarks, and a verdict by use case.
| Spec | ERNIE 4.5 21B-A3B Thinking | Trinity Mini 26B-A3B |
|---|---|---|
| Parameters | 21B | 26B |
| Author | Baidu | Arcee AI |
| License | Apache 2.0 | Apache 2.0 |
| Context window | 0k | 0k |
| VRAM at Q4 | 13 GB | 15 GB |
| VRAM at Q5 | 16 GB | 18 GB |
| VRAM at Q8 | 23 GB | 28 GB |
| VRAM at FP16 | 42 GB | 52 GB |
| Use cases | reasoning, moe | chat, general, moe |
Verdict
Both models sit in a similar size class. The pick depends on tags, license, and benchmarks rather than raw parameter count.