--- title: "gpt-rosalind-research Cost Calculator - OpenAI" description: "Calculate the cost of using gpt-rosalind-research from OpenAI. Input costs $5.00 and output $25.00 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-rosalind-research" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-rosalind-research.md" --- # gpt-rosalind-research Cost Calculator - OpenAI > Calculate the cost of using gpt-rosalind-research from OpenAI. Input costs $5.00 and output $25.00 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About gpt-rosalind-research gpt-rosalind-research is a chat model from OpenAI, one of 98 chat models they offer. It is priced at $5.00 per 1M input tokens and $25.00 per 1M output tokens, ranking 3364 out of 3639 chat models by cost and cheaper than 7% of models in this category. ## Pricing Published OpenAI pricing for gpt-rosalind-research. - **$5.00 / 1M tokens Input.** - **$25.00 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** ## How Pricing Compares At $5.00 per 1M input tokens and $25.00 per 1M output tokens, gpt-rosalind-research ranks 3364 out of 3639 chat models by input cost. It is more expensive compared to the median of $0.58 for chat models, and is cheaper than 7% of models in this category. | Model | Provider | Input $/1M | Output $/1M | vs gpt-rosalind-research | | --- | --- | --- | --- | --- | | anthropic.claude-opus-4-5-20251101-v1:0 | AWS Bedrock | $5.00 | $25.00 | 0% | | anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.00 | $25.00 | 0% | | global.anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.00 | $25.00 | 0% | | us.anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.50 | $27.50 | +10% | | eu.anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.50 | $27.50 | +10% | ## More from OpenAI - [chatgpt-4o-latest ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/chatgpt-4o-latest.md) - [gpt-4o-2024-05-13 ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-4o-2024-05-13.md) - [chat-latest ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/chat-latest.md) - [gpt-5.5 ($5.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-5.5.md) ## Related Resources - [OpenAI status](https://www.getmaxim.ai/bifrost/provider-status/openai.md) - [gpt-rosalind-research specifications](https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-rosalind-research.md) - [All OpenAI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai.md) ## FAQ ### Is gpt-rosalind-research cheaper than anthropic.claude-opus-4-5-20251101-v1:0? No. gpt-rosalind-research costs $5.00 per 1M input tokens while anthropic.claude-opus-4-5-20251101-v1:0 costs $5.00 per 1M input tokens, making anthropic.claude-opus-4-5-20251101-v1:0 0% more affordable for input. However, gpt-rosalind-research may offer different capabilities or performance characteristics that justify the price difference. ### How does gpt-rosalind-research pricing compare to the average chat model? gpt-rosalind-research input pricing is $5.00 per 1M tokens, which is 762% above the median of $0.58 for chat models. It ranks 3364 out of 3639 chat models by input cost, making it cheaper than 7% of models in this category. For output, it costs $25.00 per 1M tokens compared to the median of $1.66. ### What makes gpt-rosalind-research different from other OpenAI models? Among OpenAI's 98 chat models, gpt-rosalind-research ranks 83 by input cost. ### What are the best alternatives to gpt-rosalind-research? The most comparable chat models to gpt-rosalind-research are: anthropic.claude-opus-4-5-20251101-v1:0 from AWS Bedrock ($5.00/1M input tokens); anthropic.claude-opus-4-6-v1 from AWS Bedrock ($5.00/1M input tokens); global.anthropic.claude-opus-4-6-v1 from AWS Bedrock ($5.00/1M input tokens); us.anthropic.claude-opus-4-6-v1 from AWS Bedrock ($5.50/1M 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. ### How do I check if OpenAI is down? You can monitor OpenAI service health in real time on the Bifrost OpenAI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds. ### How do I calculate gpt-rosalind-research costs? gpt-rosalind-research 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 $5.00 and generating 1M output tokens costs $25.00. ## Related Resources - [All OpenAI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-rosalind-research](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-rosalind-research) for AI/LLM consumption.*