# Mixtral 8x7B Instruct v0.1 Usage, Cost & Rank | OpenCode Data

> Mixtral 8x7B Instruct v0.1 costs $0.49 per 1M input tokens and $0.76 per 1M output tokens.

Open sparse mixture-of-experts Mistral instruction model

- Page: https://opencode.ai/data/mistral/mixtral-8x7b-instruct-v0-1
- JSON: https://opencode.ai/data/mistral/mixtral-8x7b-instruct-v0-1.json
- Model ID: mistral/mixtral-8x7b-instruct-v0.1
- Lab: Mistral

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 33K |
| Max output | 33K |
| Knowledge cutoff | - |
| Release date | 2023-12-11 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | No |
| Tool calling | No |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.49 | $0.76 | - | - |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.