Try Bifrost Enterprise free for 14 days.
Request access
[ MODEL COMPARISON ]

Compare trinity-large-thinking with other models

Select another model to compare pricing, limits, and capabilities with trinity-large-thinking.

OpenRouter logo
VS
Models
OpenRouter logotrinity-large-thinking
openrouter
-
-
Context Length
262K
-
Max Output
262K
-
Input Cost
$0.22/M
-
Output Cost
$0.85/M
-
Mode
Chat
-
Max Input Tokens
262K
-
Max Tokens
262K
-
Provider
OpenRouter
-
Tool Choice
Yes
-
Response Schema
Yes
-
Prompt Caching
Yes
-
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about trinity-large-thinking?

Overview

  • trinity-large-thinking is a chat model provided by OpenRouter.
  • With a context window of 262K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.

Pricing

  • Input processing costs $0.22 per million tokens.
  • Output generation costs $0.85 per million tokens.

Output Capabilities

  • The model can generate up to 262K tokens in a single response.
What capabilities does trinity-large-thinking support?
  • Supports function calling, enabling integration with external tools and APIs for extended functionality.
  • Features advanced reasoning capabilities for complex problem-solving and multi-step logical tasks.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • Supports structured response schemas for consistent, predictable output formatting.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.

trinity-large-thinking Pricing Overview

At $0.22 per 1M input tokens and $0.85 per 1M output tokens, trinity-large-thinking ranks 733 out of 2185 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 66% of models in this category.