---
title: "gpt-5-nano - Model Details & Comparison"
description: "gpt-5-nano from Opencode Zen: 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/opencode-zen/gpt-5-nano"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/opencode-zen/gpt-5-nano.md"
---

# gpt-5-nano - Model Details & Comparison

> gpt-5-nano from Opencode Zen: 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 gpt-5-nano

gpt-5-nano is a chat model from Opencode-zen, one of 42 chat models they offer. It is priced at $0.05 per 1M input tokens and $0.40 per 1M output tokens, ranking 144 out of 2669 chat models by cost and cheaper than 94% of models in this category.

## Specifications

- **Opencode Zen Provider.**
- **Chat Mode.**
- **$0.05 / 1M tokens Input Price.**
- **$0.40 / 1M tokens Output Price.**

## gpt-5-nano Pricing Overview

At $0.05 per 1M input tokens and $0.40 per 1M output tokens, gpt-5-nano ranks 144 out of 2669 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 94% of models in this category.

## Models to Compare

Alternatives to gpt-5-nano with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 |
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 |
| gpt-5-nano | Azure | $0.05 | $0.40 |
| ministral-3b | Azure | $0.04 | $0.04 |
| llama-3.2-3b-instruct | Cloudflare | $0.05 | $0.34 |

- [Compare amazon.nova-lite-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.nova-lite-v1-0.md)
- [Compare gpt-5-nano-2025-08-07](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5-nano-2025-08-07.md)
- [Compare gpt-5-nano](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5-nano.md)
- [Compare ministral-3b](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/ministral-3b.md)
- [Compare llama-3.2-3b-instruct](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/cloudflare/llama-3.2-3b-instruct.md)

## Related Resources

- [Calculate gpt-5-nano costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/gpt-5-nano.md)
- [All Opencode-zen pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen.md)

## FAQ

### Is gpt-5-nano cheaper than amazon.nova-lite-v1:0?

Yes. gpt-5-nano costs $0.05 per 1M input tokens compared to amazon.nova-lite-v1:0's $0.06 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.

### How does gpt-5-nano pricing compare to the average chat model?

gpt-5-nano input pricing is $0.05 per 1M tokens, which is 90% below the median of $0.50 for chat models. It ranks 144 out of 2669 chat models by input cost, making it cheaper than 94% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.44.

### What makes gpt-5-nano different from other Opencode-zen models?

Among Opencode-zen's 42 chat models, gpt-5-nano ranks 1 by input cost.

### What are the best alternatives to gpt-5-nano?

The most comparable chat models to gpt-5-nano are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); ministral-3b from Azure ($0.04/1M 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 calculate gpt-5-nano costs?

gpt-5-nano 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 $0.05 and generating 1M output tokens costs $0.40.

## Related Resources

- [Opencode Zen models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/opencode-zen.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/opencode-zen/gpt-5-nano](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/opencode-zen/gpt-5-nano) for AI/LLM consumption.*