---
title: "deepseek:v4@flash - Model Details & Comparison"
description: "deepseek:v4@flash from Runware: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/runware/deepseek-v4-flash"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/runware/deepseek-v4-flash.md"
---

# deepseek:v4@flash - Model Details & Comparison

> deepseek:v4@flash from Runware: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## 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 deepseek:v4@flash

deepseek:v4@flash is a chat model from Runware, one of 3 chat models they offer. It is priced at $0.08 per 1M input tokens and $0.15 per 1M output tokens, ranking 325 out of 3648 chat models by cost and cheaper than 91% of models in this category.

## Specifications

- **Runware Provider.**
- **Chat Mode.**
- **$0.08 / 1M tokens Input Price.**
- **$0.15 / 1M tokens Output Price.**

## deepseek:v4@flash Pricing Overview

At $0.08 per 1M input tokens and $0.15 per 1M output tokens, deepseek:v4@flash ranks 325 out of 3648 chat models by input cost. It is more affordable compared to the median of $0.57 for chat models, and is cheaper than 91% of models in this category.

## Models to Compare

Alternatives to deepseek:v4@flash with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 |
| Phi-4-mini-reasoning | Azure | $0.07 | $0.30 |
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.07 | $0.29 |

- [Compare apac.amazon.nova-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/apac.amazon.nova-lite-v1-0.md)
- [Compare Phi-4-mini-instruct](https://www.getmaxim.ai/bifrost/model-library/compare/azure/phi-4-mini-instruct.md)
- [Compare Phi-4-multimodal-instruct](https://www.getmaxim.ai/bifrost/model-library/compare/azure/phi-4-multimodal-instruct.md)
- [Compare Phi-4-mini-reasoning](https://www.getmaxim.ai/bifrost/model-library/compare/azure/phi-4-mini-reasoning.md)
- [Compare amazon.nova-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/amazon.nova-lite-v1-0.md)

## Related Resources

- [Calculate deepseek:v4@flash costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/runware/model/deepseek-v4-flash.md)
- [All Runware pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/runware.md)

## FAQ

### Is deepseek:v4@flash cheaper than apac.amazon.nova-lite-v1:0?

No. deepseek:v4@flash costs $0.08 per 1M input tokens while apac.amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making apac.amazon.nova-lite-v1:0 17% more affordable for input. However, deepseek:v4@flash may offer different capabilities or performance characteristics that justify the price difference.

### How does deepseek:v4@flash pricing compare to the average chat model?

deepseek:v4@flash input pricing is $0.08 per 1M tokens, which is 87% below the median of $0.57 for chat models. It ranks 325 out of 3648 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.15 per 1M tokens compared to the median of $1.65.

### What makes deepseek:v4@flash different from other Runware models?

Among Runware's 3 chat models, deepseek:v4@flash ranks 1 by input cost.

### What are the best alternatives to deepseek:v4@flash?

The most comparable chat models to deepseek:v4@flash are: apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens); Phi-4-mini-reasoning from Azure ($0.07/1M 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 deepseek:v4@flash costs?

deepseek:v4@flash 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 $0.08 and generating 1M output tokens costs $0.15.

## Related Resources

- [Runware models](https://www.getmaxim.ai/bifrost/model-library/provider/runware.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)
- [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/model-library/compare/runware/deepseek-v4-flash](https://www.getmaxim.ai/bifrost/model-library/compare/runware/deepseek-v4-flash) for AI/LLM consumption.*