--- title: Nous Hermes 2 Mixtral 8X7B Dpo | Text Generation | ModelsLab description: A high-performance large language model with 8 billion parameters, trained on over 1 million GPT-4 generated and open-source entries, featuring a 32k. url: https://modelslab.com/models/nous_research/nousresearch-nous-hermes-2-mixtral-8x7b-dpo.md canonical: https://modelslab.com/models/nous_research/nousresearch-nous-hermes-2-mixtral-8x7b-dpo.md type: product component: Playground/LLM/Index generated_at: 2026-04-29T21:09:01.455126Z --- Nous Hermes 2 Mixtral 8X7B Dpo --- [LLMs.txt](https://modelslab.com/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO/llms.txt) [.md](https://modelslab.com/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO.md) NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO nous\_research Closed Source Model $0.600000 / call Nous Hermes 2 Mixtral 8X7B Dpo --- 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 ### Nous Hermes 2 Mixtral 8X7B Dpo nous\_research NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO Copy model ID PricingInput $0.60 / 1M tokens Output $0.60 / 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.com/models?feature=llmaster) [OG](https://modelslab.com/models/open_router/openai-gpt-5.3-codex)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.3-Codex Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.3-codex) [OG](https://modelslab.com/models/open_router/openai-gpt-4-1106-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Turbo (older v1106) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-1106-preview) [OO](https://modelslab.com/models/open_router/openai-o4-mini-deep-research)[Open Router](https://modelslab.com/models/open_router) [OpenAI: o4 Mini Deep Research Closed Source Model](https://modelslab.com/models/open_router/openai-o4-mini-deep-research) [R1](https://modelslab.com/models/perplexity_ai/perplexity-ai-r1-1776)[ModelsLab](https://modelslab.com/models/perplexity_ai) [R1 1776 Closed Source Model](https://modelslab.com/models/perplexity_ai/perplexity-ai-r1-1776) [W2](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b)[Open Router](https://modelslab.com/models/open_router) [WizardLM-2 8x22B Closed Source Model](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b) [Q8](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B-Base)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 8B Base Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B-Base) [OG](https://modelslab.com/models/open_router/openai-gpt-oss-safeguard-20b)[Open Router](https://modelslab.com/models/open_router) [OpenAI: gpt-oss-safeguard-20b Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-oss-safeguard-20b) [DD](https://modelslab.com/models/open_router/deepseek-deepseek-v4-flash)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: DeepSeek V4 Flash Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-v4-flash) [QP](https://modelslab.com/models/together_ai/Qwen-Qwen3.6-Plus)[Together AI](https://modelslab.com/models/together_ai) [Qwen3.6 Plus Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3.6-Plus) [G1](https://modelslab.com/models/open_router/alpindale-goliath-120b)[Open Router](https://modelslab.com/models/open_router) [Goliath 120B Closed Source Model](https://modelslab.com/models/open_router/alpindale-goliath-120b) [AC](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3.7 Sonnet Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet) [GG](https://modelslab.com/models/open_router/google-gemma-4-31b-it-free)[Open Router](https://modelslab.com/models/open_router) [Google: Gemma 4 31B (free) Closed Source Model](https://modelslab.com/models/open_router/google-gemma-4-31b-it-free) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-235b-a22b-thinking)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 VL 235B A22B Thinking Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-235b-a22b-thinking) [DD](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2-speciale)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: DeepSeek V3.2 Speciale Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2-speciale) [XM](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5-pro)[Open Router](https://modelslab.com/models/open_router) [Xiaomi: MiMo-V2.5-Pro Closed Source Model](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5-pro) [OG](https://modelslab.com/models/open_router/openai-gpt-5.1-codex)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.1-Codex Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.1-codex) [OG](https://modelslab.com/models/open_router/openai-gpt-4-turbo-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Turbo Preview Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-turbo-preview) [ZG](https://modelslab.com/models/open_router/z-ai-glm-5.1)[Open Router](https://modelslab.com/models/open_router) [Z.ai: GLM 5.1 Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-5.1) About Nous Hermes 2 Mixtral 8X7B Dpo --- Nous Hermes 2 Mixtral 8x7B DPO is a 46.7B-parameter mixture-of-experts model (8×7B, 2 active) fine-tuned with DPO, optimized for reasoning, coding, and high-quality instruction following. ### Technical Specifications Model IDNousResearch-Nous-Hermes-2-Mixtral-8x7B-DPOCategoryLLM ModelsTaskText GenerationPrice$0.600000 per million tokensAddedJuly 22, 2025 ### 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 Nous Hermes 2 Mixtral 8X7B Dpo into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO", "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}") ``` View the [full API documentation](https://modelslab.com/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Nous Hermes 2 Mixtral 8X7B Dpo API costs $0.600000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Learn more about Nous Hermes 2 Mixtral 8X7B Dpo](https://modelslab.com/nous-hermes-2-mixtral-8x7b-dpo) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Nous Research](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Nous Hermes 2 Mixtral 8X7B Dpo FAQ --- ### What is Nous Hermes 2 Mixtral 8X7B Dpo? Nous Hermes 2 Mixtral 8x7B DPO is a 46.7B-parameter mixture-of-experts model (8×7B, 2 active) fine-tuned with DPO, optimized for reasoning, coding, and high-quality instruction following. ### How do I use the Nous Hermes 2 Mixtral 8X7B Dpo API? You can integrate Nous Hermes 2 Mixtral 8X7B Dpo into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Nous Hermes 2 Mixtral 8X7B Dpo cost? Nous Hermes 2 Mixtral 8X7B Dpo costs $0.600000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Nous Hermes 2 Mixtral 8X7B Dpo model ID? The model ID for Nous Hermes 2 Mixtral 8X7B Dpo is "NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO". Use this ID in your API requests to specify this model. ### Does Nous Hermes 2 Mixtral 8X7B Dpo have a free tier? Yes, ModelsLab offers a free tier that lets you try Nous Hermes 2 Mixtral 8X7B Dpo 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 - 2026-04-30*