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: 80,000 tokens
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trinity-large-thinking is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.25 per 1M input tokens and $0.80 per 1M output tokens, ranking 906 out of 2661 chat models by cost and cheaper than 66% 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 29% 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 80,000 tokens.
At $0.25 per 1M input tokens and $0.80 per 1M output tokens, trinity-large-thinking ranks 906 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 66% of models in this category.
trinity-large-thinking is one of 355 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 29% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs trinity-large-thinking |
|---|---|---|---|---|
| amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | +20% |
| gpt-5.4-nano | Azure | $0.20 | $1.25 | -20% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | -20% |
Similar chat models from other providers
Yes. trinity-large-thinking costs $0.25 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
trinity-large-thinking input pricing is $0.25 per 1M tokens, which is 50% below the median of $0.50 for chat models. It ranks 906 out of 2661 chat models by input cost, making it cheaper than 66% of models in this category. For output, it costs $0.80 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 355 chat models, trinity-large-thinking ranks 113 by input cost.
The most comparable chat models to trinity-large-thinking are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); 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). 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.
trinity-large-thinking supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 645 of 2482). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
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 $0.25 and generating 1M output tokens costs $0.80.