---
title: "Mixtral-8x7B-Instruct-v0.1 - Model Details & Comparison"
description: "Mixtral-8x7B-Instruct-v0.1 from Deepinfra: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/deepinfra/mixtral-8x7b-instruct-v0.1"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/deepinfra/mixtral-8x7b-instruct-v0.1.md"
---

# Mixtral-8x7B-Instruct-v0.1 - Model Details & Comparison

> Mixtral-8x7B-Instruct-v0.1 from Deepinfra: 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 Mixtral-8x7B-Instruct-v0.1

Mixtral-8x7B-Instruct-v0.1 is a chat model from DeepInfra, one of 135 chat models they offer. It is priced at $0.54 per 1M input tokens and $0.54 per 1M output tokens, ranking 1699 out of 3414 chat models by cost and cheaper than 50% of models in this category. Mixtral-8x7B-Instruct-v0.1 supports function calling. It accepts up to 33K input tokens.

## Specifications

- **Deepinfra Provider.**
- **Chat Mode.**
- **32,768 Max Input Tokens.**
- **32,768 Max Output Tokens.**
- **32,768 Max Tokens.**
- **$0.54 / 1M tokens Input Price.**
- **$0.54 / 1M tokens Output Price.**

## Capabilities

Mixtral-8x7B-Instruct-v0.1 supports: Function Calling, Tool Choice.

## Mixtral-8x7B-Instruct-v0.1 Pricing Overview

At $0.54 per 1M input tokens and $0.54 per 1M output tokens, Mixtral-8x7B-Instruct-v0.1 ranks 1699 out of 3414 chat models by input cost. It is competitively priced compared to the median of $0.55 for chat models, and is cheaper than 50% of models in this category.

Mixtral-8x7B-Instruct-v0.1 is one of 135 DeepInfra chat models, with support for function calling.

## Models to Compare

Alternatives to Mixtral-8x7B-Instruct-v0.1 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| us.writer.palmyra-x5-v1:0 | AWS Bedrock | $0.60 | $6.00 |
| writer.palmyra-x5-v1:0 | AWS Bedrock | $0.60 | $6.00 |
| gpt-3.5-turbo-0125 | Azure | $0.50 | $1.50 |
| gpt-35-turbo-0125 | Azure | $0.50 | $1.50 |
| gpt-audio-mini | Azure | $0.60 | $2.40 |

- [Compare us.writer.palmyra-x5-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.writer.palmyra-x5-v1-0.md)
- [Compare writer.palmyra-x5-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/writer.palmyra-x5-v1-0.md)
- [Compare gpt-3.5-turbo-0125](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-3.5-turbo-0125.md)
- [Compare gpt-35-turbo-0125](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-35-turbo-0125.md)
- [Compare gpt-audio-mini](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-audio-mini.md)

## Related Resources

- [Calculate Mixtral-8x7B-Instruct-v0.1 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/mixtral-8x7b-instruct-v0.1.md)
- [All DeepInfra pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra.md)

## FAQ

### Is Mixtral-8x7B-Instruct-v0.1 cheaper than us.writer.palmyra-x5-v1:0?

Yes. Mixtral-8x7B-Instruct-v0.1 costs $0.54 per 1M input tokens compared to us.writer.palmyra-x5-v1:0's $0.60 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for function calling.

### How does Mixtral-8x7B-Instruct-v0.1 pricing compare to the average chat model?

Mixtral-8x7B-Instruct-v0.1 input pricing is $0.54 per 1M tokens, which is 2% below the median of $0.55 for chat models. It ranks 1699 out of 3414 chat models by input cost, making it cheaper than 50% of models in this category. For output, it costs $0.54 per 1M tokens compared to the median of $1.56.

### What makes Mixtral-8x7B-Instruct-v0.1 different from other DeepInfra models?

Among DeepInfra's 135 chat models, Mixtral-8x7B-Instruct-v0.1 ranks 98 by input cost.

### What are the best alternatives to Mixtral-8x7B-Instruct-v0.1?

The most comparable chat models to Mixtral-8x7B-Instruct-v0.1 are: us.writer.palmyra-x5-v1:0 from AWS Bedrock ($0.60/1M input tokens); writer.palmyra-x5-v1:0 from AWS Bedrock ($0.60/1M input tokens); gpt-3.5-turbo-0125 from Azure ($0.50/1M input tokens); gpt-35-turbo-0125 from Azure ($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 Mixtral-8x7B-Instruct-v0.1 costs?

Mixtral-8x7B-Instruct-v0.1 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 $0.54 and generating 1M output tokens costs $0.54.

## Related Resources

- [Deepinfra models](https://www.getmaxim.ai/bifrost/model-library/provider/deepinfra.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)

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*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/deepinfra/mixtral-8x7b-instruct-v0.1](https://www.getmaxim.ai/bifrost/model-library/compare/deepinfra/mixtral-8x7b-instruct-v0.1) for AI/LLM consumption.*