---
title: "gpt-rosalind-discovery - Model Details & Comparison"
description: "gpt-rosalind-discovery from OpenAI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-rosalind-discovery"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-rosalind-discovery.md"
---

# gpt-rosalind-discovery - Model Details & Comparison

> gpt-rosalind-discovery from OpenAI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

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- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing.md)
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## About gpt-rosalind-discovery

gpt-rosalind-discovery is a chat model from OpenAI, one of 100 chat models they offer. It is priced at $5.00 per 1M input tokens and $25.00 per 1M output tokens, ranking 3494 out of 3780 chat models by cost and cheaper than 7% of models in this category.

## Specifications

- **OpenAI Provider.**
- **Chat Mode.**
- **$5.00 / 1M tokens Input Price.**
- **$25.00 / 1M tokens Output Price.**

## gpt-rosalind-discovery Pricing Overview

At $5.00 per 1M input tokens and $25.00 per 1M output tokens, gpt-rosalind-discovery ranks 3494 out of 3780 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 7% of models in this category.

## Models to Compare

Alternatives to gpt-rosalind-discovery with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| anthropic.claude-opus-4-5-20251101-v1:0 | AWS Bedrock | $5.00 | $25.00 |
| anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.00 | $25.00 |
| global.anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.00 | $25.00 |
| us.anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.50 | $27.50 |
| eu.anthropic.claude-opus-4-6-v1 | AWS Bedrock | $5.50 | $27.50 |

- [Compare anthropic.claude-opus-4-5-20251101-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/anthropic.claude-opus-4-5-20251101-v1-0.md)
- [Compare anthropic.claude-opus-4-6-v1](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/anthropic.claude-opus-4-6-v1.md)
- [Compare global.anthropic.claude-opus-4-6-v1](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/global.anthropic.claude-opus-4-6-v1.md)
- [Compare us.anthropic.claude-opus-4-6-v1](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.anthropic.claude-opus-4-6-v1.md)
- [Compare eu.anthropic.claude-opus-4-6-v1](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/eu.anthropic.claude-opus-4-6-v1.md)

## Related Resources

- [Calculate gpt-rosalind-discovery costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai/model/gpt-rosalind-discovery.md)
- [Check OpenAI status](https://www.getmaxim.ai/bifrost/provider-status/openai.md)
- [All OpenAI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openai.md)

## FAQ

### Is gpt-rosalind-discovery cheaper than anthropic.claude-opus-4-5-20251101-v1:0?

No. gpt-rosalind-discovery 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-discovery may offer different capabilities or performance characteristics that justify the price difference.

### How does gpt-rosalind-discovery pricing compare to the average chat model?

gpt-rosalind-discovery input pricing is $5.00 per 1M tokens, which is 733% above the median of $0.60 for chat models. It ranks 3494 out of 3780 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 $1.75.

### What makes gpt-rosalind-discovery different from other OpenAI models?

Among OpenAI's 100 chat models, gpt-rosalind-discovery ranks 86 by input cost.

### What are the best alternatives to gpt-rosalind-discovery?

The most comparable chat models to gpt-rosalind-discovery 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-discovery costs?

gpt-rosalind-discovery 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

- [OpenAI models](https://www.getmaxim.ai/bifrost/model-library/provider/openai.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md)
- [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/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-rosalind-discovery](https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-rosalind-discovery) for AI/LLM consumption.*