--- title: Hermes 2 Pro Mistral 7B—Chat with this LLM canonical: https://telnyx.com/llm-library/hermes-2-pro-mistral-7b --- # Hermes 2 Pro Mistral 7B—Chat with this LLM [Start building](https://telnyx.com/sign-up) ### Ask AI * [![GPT](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/chatgpt_icon-ea55e09d.jpeg?width=92&format=webp)](https://chat.openai.com/?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Claude](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/claude_icon-c7c8eef3.webp?width=92&format=webp)](https://claude.ai/new?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Perplexity](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/perplexity_icon-cd5b74f1.webp?width=92&format=webp)](https://www.perplexity.ai/search?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Gemini](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/gemini_icon-4ff1cbf4.webp?width=92&format=webp)](https://www.google.com/search?udm=50&aep=11&q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Grok](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/grok_icon-e588e5bd.webp?width=92&format=webp)](https://x.com/i/grok?text=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) # Hermes 2 Pro Mistral 7B A 7B model from Nous Research built on Mistral, optimized for function calling, JSON structured output, and general conversational tasks. [Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models) ## about Nous Research fine-tuned Mistral 7B with a custom dataset built specifically for [structured tool use and function calling at small scale](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B). Using the ChatML prompt format and a dedicated `` token, it handles nested function schemas and complex JSON output at 7B parameters, scoring competitively with models ten times its size on agentic benchmarks. Licenseapache-2.0 Context window ## Explore Our LLM Library Discover the power and diversity of large language models available with Telnyx. Explore the options below to find the perfect model for your project. ### DeepSeek-V4-Flash-0731 OrganizationTelnyx Model NameDeepSeek-V4-Flash-0731 Taskstext generation Languages SupportedEnglish Context Length1,048,576 Parameters284.0B Model Tierunlisted Licensemit ### DeepSeek-V4.1-Flash ### gemma-2b-it ### gemma-4-26B-A4B-it ### gemma-4-31B-it ### Llama-3.3-70B-Instruct ### Meta-Llama-3.1-70B-Instruct ### Meta-Llama-3.1-8B-Instruct ### MiniMax-M2.7 ### MiniMax-M3-MXFP8 ### Kimi-K2.5 ### Kimi-K2.6 ### Kimi-K3 ### Qwen3-235B-A22B ### Qwen3.8-27B ### GLM-5.1-FP8 ### GLM-5.2 ### GLM-5.3 ### GLM-5.3-Flash ### claude-haiku-4-5 ### gemini-2.5-flash ### gemini-3.7-flash ### gpt-oss-120b ### gpt-4.1 ### gpt-4o ### gpt-4o-mini ### gpt-5 ### gpt-5.1 ### gpt-5.2 ### gpt-5.4 ### gpt-5.4-mini ### gpt-5.6-luna ### gpt-5.6-sol ### gpt-live-1 HOW IT WORKS ## Selecting LLMs for Voice AI [GET Available Models](https://developers.telnyx.com/docs/inference/models) ### Create an account Sign-up to the Telnyx platform to get access to our suite of intuitive AI tools. ### Choose Hermes 2 Pro Mistral 7B In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select Hermes 2 Pro Mistral 7B from the dropdown. ### Enter your API key If you’re using a proprietary model, you’ll need your API key before prompting the LLM. Our vast selection of OS models allow you to get started right away. ### Prompt the LLM Get responses from an LLM in minutes, and scale with our [OpenAI-compatible APIs](https://developers.telnyx.com/docs/inference/getting-started "Inference API Quickstart"). Step 1/4 **RESOURCES** ## Get started Check out our helpful tools to help get you started. * ### Test in the portal Easily browse and select your preferred model in the AI Playground. [Test today](https://portal.telnyx.com/#/ai/assistants) ## Sign up and start building [Sign up](https://telnyx.com/sign-up)[Contact sales](https://telnyx.com/contact-us) ## faqs ### Is Mistral 7B a good model? Hermes 2 Pro Mistral 7B builds on the strong Mistral 7B base with enhanced function calling and structured output capabilities. It is a [capable model](https://telnyx.com/llm-library/hermes-2-pro-mistral-7b) for tool-using applications at the 7B scale. ### What format is Hermes 2 Pro? Hermes 2 Pro uses ChatML format for conversation templating and supports structured JSON outputs for function calling. It is available in standard and [GGUF quantized formats](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) on Hugging Face. (in thousands) 32768 ## Use cases for Hermes 2 Pro Mistral 7B 1. **Structured function calling at 7B scale:** Scoring competitively with models 10x its size on tool-use benchmarks, it handles nested and complex function schemas via a dedicated tool\_call token format. 2. **Guaranteed JSON output:** Built-in JSON mode support produces valid structured data for API integrations, database inserts, and data pipelines without parsing failures. 3. **Lightweight agentic deployment:** At 7B parameters with 32K context, it runs tool-augmented agent loops on single-GPU infrastructure where larger function-calling models would be too slow or expensive. ## Quality Arena Elo1074 MMLUN/A MT BenchN/A Hermes 2 Pro Mistral 7B scores 62.2% on MMLU, comparable to Nous Hermes 2 Mistral 7B DPO (63.4%) on the same sheet. Its differentiation is in function calling, where it scores competitively with models 10x its size through a dedicated tool\_call token format and built-in JSON mode. For general knowledge it trails Gemma 7B IT (64.3%) by about 2 points. **Llama 2 Chat 70B** 1093 **Nous Hermes 2 Mixtral 8x7B** 1084 **Hermes 2 Pro Mistral 7B** 1074 **Mistral 7B Instruct v0.2** 1072 **GPT-3.5 Turbo-1106** 1068 ## pricing The cost of running Hermes 2 Pro Mistral 7B with Telnyx Inference is $0.0002 per 1,000 tokens. Processing 1,000,000 function-calling tasks at 1,000 tokens each would cost $200, the same as other 7B-class models but with structured JSON output and tool-use capabilities that typically require larger models. ## What's Twitter saying? * Developers praise **Hermes 2 Pro Mistral 7B** for excelling in function calling and JSON structured outputs, scoring competitively with much larger models on agentic benchmarks. * It ranks highly on the **Chatbot Arena Leaderboard** with an Elo of 1074, outperforming other 7B models like Gemma 2B in conversational tasks. * Tech enthusiasts on Hacker News express surprise and enthusiasm, recommending it alongside models like Starling for impressive chat capabilities under RAM constraints. | Organization | Model Name | Tasks | Languages Supported | Context Length | Parameters | Model Tier | License | | ------------ | ----------------------------------------------------------------------- | ---------------- | ------------------- | -------------- | ---------- | ---------- | ----------------- | | Telnyx | DeepSeek-V4-Flash-0731 | text generation | English | 1,048,576 | 284.0B | unlisted | mit | | Telnyx | DeepSeek-V4.1-Flash | text generation | English | 1,048,576 | 552.0B | small | mit | | google | [gemma-2b-it](https://telnyx.com/llm-library/gemma-2b-it) | text generation | English | 8,192 | 2.5B | small | gemma | | google | gemma-4-26B-A4B-it | text to-text | Multilingual | 262,144 | 25.8B | small | apache-2.0 | | google | gemma-4-31B-it | text generation | Multilingual | 131,072 | 30.7B | small | apache-2.0 | | meta-llama | [Llama-3.3-70B-Instruct](https://telnyx.com/llm-library/llama-3.3-70b-instruct) | text generation | Multilingual | 99,000 | 70.6B | large | llama3.3 | | meta-llama | [Meta-Llama-3.1-70B-Instruct](https://telnyx.com/llm-library/meta-llama-3-1-70b-instruct) | text generation | Multilingual | 99,000 | 70.6B | large | llama3.1 | | meta-llama | [Meta-Llama-3.1-8B-Instruct](https://telnyx.com/llm-library/meta-llama-3.1-8b-instruct) | text generation | Multilingual | 131,072 | 8.0B | small | llama3.1 | | minimaxai | MiniMax-M2.7 | text generation | Multilingual | 200,000 | 0 | large | minimaxai | | minimaxai | MiniMax-M3-MXFP8 | text generation | Multilingual | 1,000,000 | 428.0B | small | minimax-community | | moonshotai | [Kimi-K2.5](https://telnyx.com/llm-library/kimi-k2.5) | text generation | Multilingual | 256,000 | 1.0T | large | modified-mit | | moonshotai | Kimi-K2.6 | text generation | Multilingual | 262,144 | 1.0T | medium | modified-mit | | moonshotai | Kimi-K3 | text generation | English | 1,000,000 | 2.8M | large | MIT Modified | | Qwen | [Qwen3-235B-A22B](https://telnyx.com/llm-library/qwen3-235b-a22b) | text generation | English | 32,768 | 235.1B | large | apache-2.0 | | Telnyx | Qwen3.8-27B | text generation | English | 262,144 | 27.0B | small | Apache 2.0 | | zai-org | GLM-5.1-FP8 | text generation | Multilingual | 202,752 | 753.9B | large | mit | | zai-org | GLM-5.2 | text generation | English | 1,000,000 | 753.9B | medium | MIT | | Telnyx | GLM-5.3 | text generation | English | 1,048,576 | 753.0B | medium | glm-5.3 | | zai-org | GLM-5.3-Flash | text generation | English | 1,048,576 | 320.0B | small | mit | | anthropic | [claude-haiku-4-5](https://telnyx.com/llm-library/claude-haiku-4-5) | text generation | Multilingual | 400,000 | 0 | large | openai | | google | [gemini-2.5-flash](https://telnyx.com/llm-library/gemini-2.5-flash) | text generation | Multilingual | 400,000 | 0 | large | openai | | google | gemini-3.7-flash | text generation | Multilingual | 400,000 | 0 | large | openai | | groq | [gpt-oss-120b](https://telnyx.com/llm-library/gpt-oss-120b) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-4.1 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | [gpt-4o](https://telnyx.com/llm-library/gpt-4-omni) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | [gpt-4o-mini](https://telnyx.com/llm-library/gpt-4o-mini) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.1 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | [gpt-5.2](https://telnyx.com/llm-library/gpt-5.2) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.4 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.4-mini | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.6-luna | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.6-sol | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-live-1 | speech to-speech | Multilingual | 400,000 | 0 | large | openai | * ### Explore the docs Don’t wait to scale, start today with our public API endpoints. [Get started](https://developers.telnyx.com/api-reference/assistants/list-assistants) * ### Stay up to date Keep an eye on our AI changelog so you don't miss a beat. [See updates](https://telnyx.com/release-notes) ### What are the limitations of Mistral 7B? The main limitations are the 7B parameter count constraining complex reasoning, and a 32K context window. For tasks requiring deeper analysis, larger models in the [Mixtral or Llama families](https://telnyx.com/llm-library/nous-hermes-2-mixtral-8x7b) are better suited. ### What makes Hermes 2 Pro special? Hermes 2 Pro adds structured function calling and JSON output mode to the base Mistral 7B, making it one of the first small models with reliable tool-use capability. It is available through [Telnyx](https://telnyx.com/llm-library/hermes-2-pro-mistral-7b) and other providers. ### Is Hermes 2 Pro free? Yes, Hermes 2 Pro Mistral 7B is released under the Apache 2.0 license for free commercial use. Weights are on [Hugging Face](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B). Hermes 2 Pro Mistral 7B—Chat with this LLM