Trinity Large Thinking
by Arcee Ai · arcee-ai/trinity-large-thinking · #129 cheapest of 422 paid models
Prices updated Sep 19, 2026, 5:36 PM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.25
per 1M tokens
Output
$0.80
per 1M tokens
Blended (3:1)
$0.387
3 input : 1 output
Cache read
$0.06
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Trinity Large Thinking with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.387 | $0.0263 | — |
| 50% | $0.316 | $0.0168 | −36% |
| 90% | $0.259 | $0.0092 | −65% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000365 | $0.365 |
| Document summary | 8,000 | 1,000 | $0.0028 | $2.80 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0091 | $9.10 |
| Long-context analysis | 150,000 | 5,000 | $0.0415 | $41.50 |
Performance
Intelligence Index
10.9
AA composite quality
Coding Index
25.8
Math Index
—
Agentic Index
1.2
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,149 |
| UI components | 1,060 |
| Data viz | 1,113 |
| SVG | 1,040 |
| 3D | 1,110 |
| Game dev | 1,102 |
| Code categories | 1,132 |
| ASCII art | 1,060 |
Specs
Context window
262K
tokens
Max output
80K
tokens
Input modalities
text
Tokenizer
Other