---
title: "qwen3.8-flash Cost Calculator - Opencode-zen"
description: "Calculate the cost of using qwen3.8-flash from Opencode-zen. Input costs $0.15 and output $0.47 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/qwen3.8-flash"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/qwen3.8-flash.md"
---

# qwen3.8-flash Cost Calculator - Opencode-zen

> Calculate the cost of using qwen3.8-flash from Opencode-zen. Input costs $0.15 and output $0.47 per 1M tokens.

## 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://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-flash

qwen3.8-flash is a chat model from Opencode-zen, one of 56 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.47 per 1M output tokens, ranking 710 out of 3254 chat models by cost and cheaper than 78% of models in this category.

## Pricing

Published Opencode-zen pricing for qwen3.8-flash.

- **$0.15 / 1M tokens Input.**
- **$0.47 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**

## How Pricing Compares

At $0.15 per 1M input tokens and $0.47 per 1M output tokens, qwen3.8-flash ranks 710 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 78% of models in this category.

| Model | Provider | Input $/1M | Output $/1M | vs qwen3.8-flash |
| --- | --- | --- | --- | --- |
| zephyr-7b-beta | Anyscale | $0.15 | $0.15 | 0% |
| gemma-7b-it | Anyscale | $0.15 | $0.15 | 0% |
| Llama-2-7b-chat-hf | Anyscale | $0.15 | $0.15 | 0% |
| Meta-Llama-3-8B-Instruct | Anyscale | $0.15 | $0.15 | 0% |
| Mistral-7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | 0% |

## More from Opencode-zen

- [glm-5.3-flash ($0.15/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/glm-5.3-flash.md)
- [hy3 ($0.14/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/hy3.md)
- [gpt-5.6-luna ($0.20/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/gpt-5.6-luna.md)
- [muse-spark-1.3-contributor ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/muse-spark-1.3-contributor.md)

## Related Resources

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

## FAQ

### Is qwen3.8-flash cheaper than zephyr-7b-beta?

No. qwen3.8-flash costs $0.15 per 1M input tokens while zephyr-7b-beta costs $0.15 per 1M input tokens, making zephyr-7b-beta 0% more affordable for input. However, qwen3.8-flash may offer different capabilities or performance characteristics that justify the price difference.

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

qwen3.8-flash input pricing is $0.15 per 1M tokens, which is 71% below the median of $0.52 for chat models. It ranks 710 out of 3254 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.47 per 1M tokens compared to the median of $1.50.

### What makes qwen3.8-flash different from other Opencode-zen models?

Among Opencode-zen's 56 chat models, qwen3.8-flash ranks 6 by input cost.

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

The most comparable chat models to qwen3.8-flash are: zephyr-7b-beta from Anyscale ($0.15/1M input tokens); gemma-7b-it from Anyscale ($0.15/1M input tokens); Llama-2-7b-chat-hf from Anyscale ($0.15/1M input tokens); Meta-Llama-3-8B-Instruct from Anyscale ($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 qwen3.8-flash costs?

qwen3.8-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 $0.15 and generating 1M output tokens costs $0.47.

## Related Resources

- [All Opencode-zen pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.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://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/llm-cost-calculator/provider/opencode-zen/model/qwen3.8-flash](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/qwen3.8-flash) for AI/LLM consumption.*