Trinity Large Thinking API Pricing

The provider marks this model as beta or experimental. Its price and availability may change.

Arcee · released Apr 1, 2026 · 262K context · API model ID trinity-large-thinking

Trinity Large Thinking by Arcee API pricing: $0.25 per 1M input tokens and $0.80 per 1M output tokens (provider list price via models.dev, Oct 10, 2026).

Prices

Trinity Large Thinking prices, USD per 1M tokens
PriceUSD per 1M tokens
Input$0.25
Output$0.80
Cache read$0.06
Cache writeNot published

Arcee's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation

Estimated monthly cost

$195.00

per month

per day
$6.50
per request
$0.00065

Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.

Compare this workload across models

Monthly cost by workload

WorkloadPer month
Chatbot1,000 in / 500 out tokens, 10,000 requests a day$195.00/mo
RAG8,000 in / 500 out tokens, 5,000 requests a day$360.00/mo
Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input$195.00/mo

Context and capabilities

Context
262,144 tokens
Max output
262,144 tokens
Input
text
Output
text
Knowledge cutoff
Not published
Open weights
Yes
Tool calling
Yes
Reasoning
Yes
Structured outputs
No

Capabilities and limits as listed by models.dev.

Similarly priced models

Price history

No price changes since we started tracking on Oct 8, 2026.

Questions

How much does Trinity Large Thinking cost per month?
For a chatbot handling 10,000 requests a day with 1,000 input and 500 output tokens each, Trinity Large Thinking costs about $195.00 per month at Arcee's list prices ($0.25 per 1M input tokens, $0.80 per 1M output tokens).
Does Trinity Large Thinking support prompt caching?
Yes. Cached input costs $0.06 per 1M tokens, compared with $0.25 for regular input.
How long is Trinity Large Thinking's context window?
Trinity Large Thinking accepts up to 262,144 tokens (262K) of context and returns up to 262,144 tokens per response.