--- title: "o4-mini-deep-research - Model Details & Comparison" description: "o4-mini-deep-research from OpenAI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openai/o4-mini-deep-research" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openai/o4-mini-deep-research.md" --- # o4-mini-deep-research - Model Details & Comparison > o4-mini-deep-research from OpenAI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features) - [Enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise) - [Pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo) ## About o4-mini-deep-research o4-mini-deep-research is a responses model from OpenAI, one of 23 responses models they offer. It is priced at $2.00 per 1M input tokens and $8.00 per 1M output tokens, ranking 24 out of 53 responses models by cost and cheaper than 53% of models in this category. o4-mini-deep-research supports vision, function calling, web search, prompt caching, structured output — one of only 5 responses models with this combination. It accepts up to 200K input tokens. ## Specifications - **OpenAI Provider.** - **Responses Mode.** - **200,000 Max Input Tokens.** - **100,000 Max Output Tokens.** - **100,000 Max Tokens.** - **$2.00 / 1M tokens Input Price.** - **$8.00 / 1M tokens Output Price.** ## Capabilities o4-mini-deep-research supports: Function Calling, Vision, Web Search, Prompt Caching, Parallel Function Calling, System Messages, Response Schema, Tool Choice, PDF Input. ## o4-mini-deep-research Pricing Overview At $2.00 per 1M input tokens and $8.00 per 1M output tokens, o4-mini-deep-research ranks 24 out of 53 responses models by input cost. It is more affordable compared to the median of $2.75 for responses models, and is cheaper than 53% of models in this category. o4-mini-deep-research is one of 23 OpenAI responses models, one of only 5 responses models combining function calling, prompt caching, structured output, vision, web search. ## Models to Compare Alternatives to o4-mini-deep-research with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | gpt-5.2-codex | Azure | $1.75 | $14.00 | | gpt-5.3-codex | Azure | $1.75 | $14.00 | | codex-mini | Azure | $1.50 | $6.00 | | gpt-5.1-codex | Azure | $1.38 | $11.00 | | gpt-5.1-codex-2025-11-13 | Azure | $1.25 | $10.00 | - [Compare gpt-5.2-codex](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5.2-codex.md) - [Compare gpt-5.3-codex](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5.3-codex.md) - [Compare codex-mini](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/codex-mini.md) - [Compare gpt-5.1-codex](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5.1-codex.md) - [Compare gpt-5.1-codex-2025-11-13](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5.1-codex-2025-11-13.md) ## Related Resources - [Calculate o4-mini-deep-research costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/openai/model/o4-mini-deep-research.md) - [Check OpenAI status](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/provider-status/openai.md) - [All OpenAI pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/openai.md) ## FAQ ### Is o4-mini-deep-research cheaper than gpt-5.2-codex? No. o4-mini-deep-research costs $2.00 per 1M input tokens while gpt-5.2-codex costs $1.75 per 1M input tokens, making gpt-5.2-codex 12% more affordable for input. However, o4-mini-deep-research may offer different capabilities or performance characteristics that justify the price difference. ### How does o4-mini-deep-research pricing compare to the average responses model? o4-mini-deep-research input pricing is $2.00 per 1M tokens, which is 27% below the median of $2.75 for responses models. It ranks 24 out of 53 responses models by input cost, making it cheaper than 53% of models in this category. For output, it costs $8.00 per 1M tokens compared to the median of $16.50. ### What makes o4-mini-deep-research different from other OpenAI models? Among OpenAI's 23 responses models, o4-mini-deep-research ranks 8 by input cost. Its combination of function calling, prompt caching, structured output, vision, web search is shared by only 4 other responses models. ### What are the best alternatives to o4-mini-deep-research? The most comparable responses models to o4-mini-deep-research are: gpt-5.2-codex from Azure ($1.75/1M input tokens); gpt-5.3-codex from Azure ($1.75/1M input tokens); codex-mini from Azure ($1.50/1M input tokens); gpt-5.1-codex from Azure ($1.38/1M 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 o4-mini-deep-research costs? o4-mini-deep-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 $2.00 and generating 1M output tokens costs $8.00. ## Related Resources - [OpenAI models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/openai.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo) - [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openai/o4-mini-deep-research](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openai/o4-mini-deep-research) for AI/LLM consumption.*