---
title: "DeepSeek-V4-Flash-0731 - Model Details & Comparison"
description: "DeepSeek-V4-Flash-0731 from Wandb: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/wandb/deepseek-v4-flash-0731"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/wandb/deepseek-v4-flash-0731.md"
---

# DeepSeek-V4-Flash-0731 - Model Details & Comparison

> DeepSeek-V4-Flash-0731 from Wandb: 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-0731

DeepSeek-V4-Flash-0731 is a chat model from Wandb, one of 37 chat models they offer. It is priced at $0.13 per 1M input tokens and $0.28 per 1M output tokens, ranking 608 out of 3648 chat models by cost and cheaper than 83% of models in this category. DeepSeek-V4-Flash-0731 supports reasoning, prompt caching. Its 262K-token context window is in the top 39% among chat models.

## Specifications

- **Wandb Provider.**
- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **262,144 Max Tokens.**
- **$0.13 / 1M tokens Input Price.**
- **$0.28 / 1M tokens Output Price.**

## Capabilities

DeepSeek-V4-Flash-0731 supports: Reasoning, Prompt Caching.

## DeepSeek-V4-Flash-0731 Pricing Overview

At $0.13 per 1M input tokens and $0.28 per 1M output tokens, DeepSeek-V4-Flash-0731 ranks 608 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 83% of models in this category.

DeepSeek-V4-Flash-0731 is one of 37 Wandb chat models, with support for reasoning, prompt caching. its 262K-token context window places it in the top 39% of chat models.

## Models to Compare

Alternatives to DeepSeek-V4-Flash-0731 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| databricks-deepseek-v4-flash-0731 | Databricks | $0.14 | $0.28 |
| databricks-glm-5-3-flash | Databricks | $0.15 | $0.50 |
| deepseek-reasoner | DeepSeek | $0.14 | $0.28 |
| gpt-oss-120b | Fireworks AI | $0.15 | $0.60 |
| GLM-5.3-Flash | FriendliAI | $0.15 | $0.50 |

- [Compare databricks-deepseek-v4-flash-0731](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/databricks-deepseek-v4-flash-0731.md)
- [Compare databricks-glm-5-3-flash](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/databricks-glm-5-3-flash.md)
- [Compare deepseek-reasoner](https://www.getmaxim.ai/bifrost/model-library/compare/deepseek/deepseek-reasoner.md)
- [Compare gpt-oss-120b](https://www.getmaxim.ai/bifrost/model-library/compare/fireworks_ai/gpt-oss-120b.md)
- [Compare GLM-5.3-Flash](https://www.getmaxim.ai/bifrost/model-library/compare/friendliai/glm-5.3-flash.md)

## Related Resources

- [Calculate DeepSeek-V4-Flash-0731 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/wandb/model/deepseek-v4-flash-0731.md)
- [All Wandb pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/wandb.md)

## FAQ

### Is DeepSeek-V4-Flash-0731 cheaper than databricks-deepseek-v4-flash-0731?

Yes. DeepSeek-V4-Flash-0731 costs $0.13 per 1M input tokens compared to databricks-deepseek-v4-flash-0731's $0.14 per 1M input tokens, making it 8% more affordable. Both are chat models and share support for function calling, reasoning, prompt caching.

### How does DeepSeek-V4-Flash-0731 pricing compare to the average chat model?

DeepSeek-V4-Flash-0731 input pricing is $0.13 per 1M tokens, which is 77% below the median of $0.57 for chat models. It ranks 608 out of 3648 chat models by input cost, making it cheaper than 83% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.65.

### What makes DeepSeek-V4-Flash-0731 different from other Wandb models?

Among Wandb's 37 chat models, DeepSeek-V4-Flash-0731 ranks 14 by input cost.

### What are the best alternatives to DeepSeek-V4-Flash-0731?

The most comparable chat models to DeepSeek-V4-Flash-0731 are: databricks-deepseek-v4-flash-0731 from Databricks ($0.14/1M input tokens); databricks-glm-5-3-flash from Databricks ($0.15/1M input tokens); deepseek-reasoner from DeepSeek ($0.14/1M input tokens); gpt-oss-120b from Fireworks AI ($0.15/1M 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-0731 costs?

DeepSeek-V4-Flash-0731 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 $0.13 and generating 1M output tokens costs $0.28.

## Related Resources

- [Wandb models](https://www.getmaxim.ai/bifrost/model-library/provider/wandb.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/wandb/deepseek-v4-flash-0731](https://www.getmaxim.ai/bifrost/model-library/compare/wandb/deepseek-v4-flash-0731) for AI/LLM consumption.*
