---
title: "qwen3.8-27b - Model Details & Comparison"
description: "qwen3.8-27b from Cloudflare: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/cloudflare/qwen3.8-27b"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/cloudflare/qwen3.8-27b.md"
---

# qwen3.8-27b - Model Details & Comparison

> qwen3.8-27b from Cloudflare: 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 qwen3.8-27b

qwen3.8-27b is a chat model from Cloudflare, one of 58 chat models they offer. It is priced at $0.45 per 1M input tokens and $3.20 per 1M output tokens, ranking 1677 out of 3648 chat models by cost and cheaper than 54% of models in this category. qwen3.8-27b supports vision, function calling, reasoning, prompt caching. Its 262K-token context window is in the top 39% among chat models.

## Specifications

- **Cloudflare Provider.**
- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **262,144 Max Tokens.**
- **$0.45 / 1M tokens Input Price.**
- **$3.20 / 1M tokens Output Price.**

## Capabilities

qwen3.8-27b supports: Function Calling, Vision, Reasoning, Prompt Caching, Tool Choice.

## qwen3.8-27b Pricing Overview

At $0.45 per 1M input tokens and $3.20 per 1M output tokens, qwen3.8-27b ranks 1677 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 54% of models in this category.

qwen3.8-27b is one of 58 Cloudflare chat models, with support for vision, function calling, reasoning, prompt caching. its 262K-token context window places it in the top 39% of chat models.

## Models to Compare

Alternatives to qwen3.8-27b with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| databricks-gemini-2-5-flash | Databricks | $0.37 | $3.13 |
| databricks-gemini-3-5-flash-lite | Databricks | $0.37 | $3.13 |
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 |
| gemini-3-flash-preview | Google Gemini | $0.50 | $3.00 |
| gemini-3-flash-preview | OpenRouter | $0.50 | $3.00 |

- [Compare databricks-gemini-2-5-flash](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/databricks-gemini-2-5-flash.md)
- [Compare databricks-gemini-3-5-flash-lite](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/databricks-gemini-3-5-flash-lite.md)
- [Compare gemini-3-flash-preview](https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/gemini-3-flash-preview.md)
- [Compare gemini-3-flash-preview](https://www.getmaxim.ai/bifrost/model-library/compare/gemini/gemini-3-flash-preview.md)
- [Compare gemini-3-flash-preview](https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/gemini-3-flash-preview.md)

## Related Resources

- [Calculate qwen3.8-27b costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cloudflare/model/qwen3.8-27b.md)
- [All Cloudflare pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cloudflare.md)

## FAQ

### Is qwen3.8-27b cheaper than databricks-gemini-2-5-flash?

No. qwen3.8-27b costs $0.45 per 1M input tokens while databricks-gemini-2-5-flash costs $0.37 per 1M input tokens, making databricks-gemini-2-5-flash 17% more affordable for input. However, qwen3.8-27b may offer different capabilities or performance characteristics that justify the price difference.

### How does qwen3.8-27b pricing compare to the average chat model?

qwen3.8-27b input pricing is $0.45 per 1M tokens, which is 21% below the median of $0.57 for chat models. It ranks 1677 out of 3648 chat models by input cost, making it cheaper than 54% of models in this category. For output, it costs $3.20 per 1M tokens compared to the median of $1.65.

### What makes qwen3.8-27b different from other Cloudflare models?

Among Cloudflare's 58 chat models, qwen3.8-27b ranks 37 by input cost.

### What are the best alternatives to qwen3.8-27b?

The most comparable chat models to qwen3.8-27b are: databricks-gemini-2-5-flash from Databricks ($0.37/1M input tokens); databricks-gemini-3-5-flash-lite from Databricks ($0.37/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M 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 calculate qwen3.8-27b costs?

qwen3.8-27b 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 $0.45 and generating 1M output tokens costs $3.20.

## Related Resources

- [Cloudflare models](https://www.getmaxim.ai/bifrost/model-library/provider/cloudflare.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/cloudflare/qwen3.8-27b](https://www.getmaxim.ai/bifrost/model-library/compare/cloudflare/qwen3.8-27b) for AI/LLM consumption.*
