Calculate the cost of using trinity-large-thinking from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 262,144 tokens
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trinity-large-thinking is a chat model from OpenRouter, one of 432 chat models they offer. It is priced at $0.22 per 1M input tokens and $0.85 per 1M output tokens, ranking 875 out of 2788 chat models by cost and cheaper than 69% of models in this category. trinity-large-thinking supports function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 32% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 262,144 tokens.
At $0.22 per 1M input tokens and $0.85 per 1M output tokens, trinity-large-thinking ranks 875 out of 2788 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 69% of models in this category.
trinity-large-thinking is one of 432 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 32% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs trinity-large-thinking |
|---|---|---|---|---|
| gpt-5.4-nano | Azure | $0.20 | $1.25 | -9% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | -9% |
| gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | +25% |
Similar chat models from other providers
No. trinity-large-thinking costs $0.22 per 1M input tokens while gpt-5.4-nano costs $0.20 per 1M input tokens, making gpt-5.4-nano 9% more affordable for input. However, trinity-large-thinking may offer different capabilities or performance characteristics that justify the price difference.
trinity-large-thinking input pricing is $0.22 per 1M tokens, which is 60% below the median of $0.55 for chat models. It ranks 875 out of 2788 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.85 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 432 chat models, trinity-large-thinking ranks 122 by input cost.
The most comparable chat models to trinity-large-thinking are: gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
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trinity-large-thinking is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.22 and generating 1M output tokens costs $0.85.