Model reference · Synced 2025-04-29
Trinity Large Thinking
Trinity Large Thinking is an AI model from OpenRouter. 262K context window. Capabilities: reasoning, tool calling, open weights. Available on 4 providers. Cheapest listing: $0.22 input / $0.85 output per 1M tokens.
Quick facts
- Cheapest input: $0.22 per 1M tokens (OpenRouter)
- Cheapest output: $0.85 per 1M tokens
- Context window: 262K tokens
- Max output: 80K tokens
- Release date: 2026-04-01
- Capabilities: reasoning, tool calling, open weights
- Provider count: 4
Provider pricing
Same model, different providers, different prices. Cheapest first.
| Provider | Input / 1M | Output / 1M | Context | Listed |
|---|---|---|---|---|
| OpenRouter | $0.22 | $0.85 | 262K | 2026-04-01 |
| DigitalOcean | $0.25 | $0.9 | 256K | 2026-04-02 |
| Vercel AI Gateway | $0.25 | $0.9 | 262K | 2026-04-01 |
| Venice AI | $0.313 | $1.13 | 256K | 2026-04-02 |
Prices synced daily from models.dev + provider docs.
How to use this model
If you're picking Trinity Large Thinking for a project, the three things that matter most:
- Compare it side-by-side with one or two alternatives in the live comparison tool. Pricing differences matter more than benchmarks at scale.
- Pick the cheapest provider that meets your latency / SLA need. Big spread across providers for the same weights.
- Re-evaluate every 3 months. Frontier prices drop fast; a model that's cheapest today may not be in a quarter.
Related models
FAQ
How much does Trinity Large Thinking cost? $0.22 input / $0.85 output per 1M tokens at the cheapest listing. See the table above for other providers.
What is the context window? 262K tokens.
Which providers offer it? OpenRouter, Venice AI, DigitalOcean, Vercel AI Gateway.
Where do these numbers come from? models.dev + provider documentation, synced daily. About the data.