Trinity Large Thinking
Arcee released 2026-04-01
DeepSeek V4 Flash 0731 is both better and cheaper.
It scores +33.1 higher and costs 72% less ($0.105/M against $0.378/M) on this workload — and it does everything this model does.
Solar Pro 4 is cheaper still (86% less) but drops 262K → 131K max output.
Every price dimension
| Input | $0.220/M |
|---|---|
| Output | $0.850/M |
| Cached input | $0.060/M |
Independent scores
| Intelligence | 18.7 |
|---|---|
| Coding | 25.8 |
| Agentic | 3.7 |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 262K |
|---|---|
| Max output | 262K |
| Input modes | text |
| Tool use | yes |
| Reasoning | always on |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...