---
title: Nim/mistralai/mixtral 8x22b Instruct V01 | Text Generation | ModelsLab
description: Build with Nim/mistralai/mixtral 8x22b Instruct V01 API by Nim. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x22b-instruct-v01.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x22b-instruct-v01.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T08:43:56.320289Z
---

nim/mistralai/mixtral-8x22b-instruct-v01
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-mistralai-mixtral-8x22b-instruct-v01/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nim/nim-mistralai-mixtral-8x22b-instruct-v01.md)

nim-mistralai-mixtral-8x22b-instruct-v01 nim Closed Source Model

nim/mistralai/mixtral-8x22b-instruct-v01
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### nim/mistralai/mixtral-8x22b-instruct-v01

nim nim-mistralai-mixtral-8x22b-instruct-v01

Copy model ID

PricingInput $0.00 / 1M tokens

Output $0.00 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-4-26b-a4b-it-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemma 4 26B A4B (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-4-26b-a4b-it-free)

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-flash-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemini 3 Flash Preview

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-flash-preview)

[G3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-3-270m-it-lora)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Gemma 3 270M It Lora

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-3-270m-it-lora)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b)[Alibaba](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud)

 [Qwen: Qwen3.5 397B A17B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-4.7)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Anthropic: Claude Opus 4.7

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-4.7)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta)

 [Meta Llama 3.2 90B Vision Instruct Turbo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo)

[OO](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-o3)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: o3

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-o3)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-nemo)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Nemo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-nemo)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-2603)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Small 4

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-2603)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 30B A3B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b)

[Q3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-32B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 32B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-32B)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M1-80k)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Minimax M1 80K

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M1-80k)

[SL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/sao10k-l3-euryale-70b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Sao10k: Llama 3 Euryale 70B v2.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/sao10k-l3-euryale-70b)

[Q4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-4B-Instruct-2507)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 4B Instruct 2507

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-4B-Instruct-2507)

[ER](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/essentialai-rnj-1-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [EssentialAI: Rnj 1 Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/essentialai-rnj-1-instruct)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-latest)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Anthropic: Claude Opus Latest

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-opus-latest)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/morph-morph-v3-fast)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Morph: Morph V3 Fast

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/morph-morph-v3-fast)

[NN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [NVIDIA: Nemotron Nano 12B 2 VL (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free)

About Nim/Mistralai/Mixtral-8x22b-Instruct-V01
---

Nim/Mistralai/Mixtral-8x22b-Instruct-V01 is a text generation AI model by Nim available on ModelsLab. Access Nim/Mistralai/Mixtral-8x22b-Instruct-V01 through our API with pay-per-use pricing and no minimum commitments.

### Technical Specifications

Model IDnim-mistralai-mixtral-8x22b-instruct-v01CategoryLLM ModelsTaskText GenerationAddedApril 4, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Nim/Mistralai/Mixtral-8x22b-Instruct-V01 into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "nim-mistralai-mixtral-8x22b-instruct-v01",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nim/nim-mistralai-mixtral-8x22b-instruct-v01/api) for SDKs, code examples in Python, JavaScript, and more.

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Nim](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Nim/Mistralai/Mixtral-8x22b-Instruct-V01 FAQ
---

### What is Nim/Mistralai/Mixtral-8x22b-Instruct-V01?

Nim/Mistralai/Mixtral-8x22b-Instruct-V01 is a text generation AI model by Nim available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments.

### How do I use the Nim/Mistralai/Mixtral-8x22b-Instruct-V01 API?

You can integrate Nim/Mistralai/Mixtral-8x22b-Instruct-V01 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "nim-mistralai-mixtral-8x22b-instruct-v01" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### What is the Nim/Mistralai/Mixtral-8x22b-Instruct-V01 model ID?

The model ID for Nim/Mistralai/Mixtral-8x22b-Instruct-V01 is "nim-mistralai-mixtral-8x22b-instruct-v01". Use this ID in your API requests to specify this model.

### Does Nim/Mistralai/Mixtral-8x22b-Instruct-V01 have a free tier?

Yes, ModelsLab offers a free tier that lets you try Nim/Mistralai/Mixtral-8x22b-Instruct-V01 and other AI models. Sign up to get free API credits and start building immediately.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-05-13*