Arcee AI: Trinity Large Thinking
arcee-ai/trinity-large-thinking
Cheapest provider
$0.22 / 1M
Parasail
Fastest provider (p95)
272 tok/s
Arcee AI
Intelligence (estimated)
50.0
Family + generation + popularity + price tier
Per-provider performance
Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| Parasail | q8· fp8 | $0.2200 | $0.8500 | 651ms / 2179ms | 75 / 118.5 tok/s | 100.00% | 97.4% |
| Arcee AI | undisclosed | $0.2500 | $0.8000 | 548ms / 1159ms | 184 / 272.2 tok/s | — | 100.0% |
| Venice | q8· fp8 | $0.3125 | $1.1250 | 690ms / 5533ms | 96 / 115.8 tok/s | — | 37.5% |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence estimate
No public benchmark numbers indexed for this model yet, so the leaderboard score is derived from the catalogue data we sync: model family standing, generation, and live usage rank — applied identically to open- and closed-weight models. The heuristic ceiling sits below confirmed-benchmark frontier models so curated rankings stay clearly on top.
- ·unknown family base
Want a curated score? File a benchmark report and we’ll add it to the next sync.
How Atlas routes Arcee AI: Trinity Large Thinking
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For Arcee AI: Trinity Large Thinking that’s currently Parasail at $0.22/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.