--- title: Refuel LLM V2 — Data Labeling LLM | ModelsLab description: Access Refuel LLM V2 API to label, clean and enrich data with top benchmark performance. Try the Mixtral-8x7B model optimized for enterprise tasks now. url: https://modelslab.com/refuel-llm-v2 canonical: https://modelslab.com/refuel-llm-v2 type: website component: Seo/ModelPage generated_at: 2026-04-15T03:59:28.024405Z --- Available now on ModelsLab · Language Model Refuel LLM V2 Label Data Automatically --- [Try Refuel LLM V2](/models/refuel_ai/togethercomputer-Refuel-Llm-V2) [API Documentation](https://docs.modelslab.com) Master Data Tasks --- Top Benchmarks ### Beats GPT-4 Turbo Refuel LLM V2 scores 83.82% on 30+ data labeling tasks, outperforming GPT-4-Turbo and Claude-3-Opus. 32K Context ### Handles Long Inputs Mixtral-8x7B base supports 32K max input context for complex data enrichment and cleaning. Fine-Tune Fast ### LoRA in Minutes Tune Refuel LLM V2 API with <200 data points for near-perfect structured extraction performance. Examples See what Refuel LLM V2 can create --- Copy any prompt below and try it yourself in the [playground](/models/refuel_ai/togethercomputer-Refuel-Llm-V2). Extract Entities “From this finance transaction log, extract structured fields: date, amount, category, merchant. Input: '2025-01-15 $250.00 Amazon purchase groceries'. Output JSON only.” Classify Documents “Classify HR resume text into categories: skills, experience, education. Input: 'Software engineer with Python expertise, 5 years at Google, BS Computer Science'. Return labeled JSON.” Clean Ecommerce Data “Clean product descriptions: remove duplicates, standardize formats. Input: 'Blue shirt size M, blue shirt M'. Output unique normalized list in JSON.” Enrich Law Texts “Extract key clauses from contract: parties, obligations, termination. Input: 'Agreement between Acme Corp and Beta Inc for services ending Dec 2025'. Structured JSON output.” For Developers A few lines of code. Data labeling. One call. --- ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed. - **Serverless:** scales to zero, scales to millions - **Pay per token,** no minimums - **Python and JavaScript SDKs,** plus REST API [API Documentation ](https://docs.modelslab.com) PythonJavaScriptcURL Copy ```

import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

``` FAQ Common questions about Refuel LLM V2 --- [Read the docs ](https://docs.modelslab.com) ### What is Refuel LLM V2? ### How does Refuel LLM V2 API compare to alternatives? ### What tasks does refuel llm v2 handle? ### Can I fine-tune Refuel LLM V2? ### Where to access refuel llm v2 api? ### Is there a small Refuel LLM V2 model? Ready to create? --- Start generating with Refuel LLM V2 on ModelsLab. [Try Refuel LLM V2](/models/refuel_ai/togethercomputer-Refuel-Llm-V2) [API Documentation](https://docs.modelslab.com) --- *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 - 2026-04-15*