---
title: "Qwen3.5-397B-A17B-FP8 Cost Calculator - Tensormesh"
description: "Calculate the cost of using Qwen3.5-397B-A17B-FP8 from Tensormesh. Input costs $0.60 and output $3.60 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/qwen3.5-397b-a17b-fp8"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/qwen3.5-397b-a17b-fp8.md"
---

# Qwen3.5-397B-A17B-FP8 Cost Calculator - Tensormesh

> Calculate the cost of using Qwen3.5-397B-A17B-FP8 from Tensormesh. Input costs $0.60 and output $3.60 per 1M tokens.

## 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 Qwen3.5-397B-A17B-FP8

Qwen3.5-397B-A17B-FP8 is a chat model from Tensormesh, one of 10 chat models they offer. It is priced at $0.60 per 1M input tokens and $3.60 per 1M output tokens, ranking 1574 out of 2960 chat models by cost and cheaper than 46% of models in this category. Qwen3.5-397B-A17B-FP8 supports function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 34% among chat models.

## Pricing

Published Tensormesh pricing for Qwen3.5-397B-A17B-FP8.

- **$0.60 / 1M tokens Input.**
- **$3.60 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **262,144 Max Output Tokens.**

## Model Capabilities

Qwen3.5-397B-A17B-FP8 supports: Function Calling, Reasoning, Prompt Caching, System Messages, Response Schema, Tool Choice.

## How Pricing Compares

At $0.60 per 1M input tokens and $3.60 per 1M output tokens, Qwen3.5-397B-A17B-FP8 ranks 1574 out of 2960 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 46% of models in this category.

Qwen3.5-397B-A17B-FP8 is one of 10 Tensormesh chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 34% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs Qwen3.5-397B-A17B-FP8 |
| --- | --- | --- | --- | --- |
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +25% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +25% |
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | -17% |
| gemini-3.6-flash | Vertex AI | $0.75 | $3.75 | +25% |
| gemini-3.7-flash | Vertex AI | $0.75 | $3.75 | +25% |

## More from Tensormesh

- [Qwen3-Coder-480B-A35B-Instruct-FP8 ($0.45/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/qwen3-coder-480b-a35b-instruct-fp8.md)
- [Qwen3.6-27B-FP8 ($0.32/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/qwen3.6-27b-fp8.md)
- [MiniMax-M2.5 ($0.30/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/minimax-m2.5.md)
- [Kimi-K2.6 ($0.96/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/kimi-k2.6.md)

## Related Resources

- [All Tensormesh pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh.md)

## FAQ

### Is Qwen3.5-397B-A17B-FP8 cheaper than gpt-5.4-mini?

Yes. Qwen3.5-397B-A17B-FP8 costs $0.60 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

### How does Qwen3.5-397B-A17B-FP8 pricing compare to the average chat model?

Qwen3.5-397B-A17B-FP8 input pricing is $0.60 per 1M tokens, which is 9% above the median of $0.55 for chat models. It ranks 1574 out of 2960 chat models by input cost, making it cheaper than 46% of models in this category. For output, it costs $3.60 per 1M tokens compared to the median of $1.50.

### What makes Qwen3.5-397B-A17B-FP8 different from other Tensormesh models?

Among Tensormesh's 10 chat models, Qwen3.5-397B-A17B-FP8 ranks 8 by input cost.

### What are the best alternatives to Qwen3.5-397B-A17B-FP8?

The most comparable chat models to Qwen3.5-397B-A17B-FP8 are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3.6-flash from Vertex AI ($0.75/1M 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 Qwen3.5-397B-A17B-FP8 costs?

Qwen3.5-397B-A17B-FP8 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 $0.60 and generating 1M output tokens costs $3.60.

## Related Resources

- [All Tensormesh pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/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://www.getmaxim.ai/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/qwen3.5-397b-a17b-fp8](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/tensormesh/model/qwen3.5-397b-a17b-fp8) for AI/LLM consumption.*
