Llama 3.3 70B Fast
Meta's state-of-the-art 70B parameter model tuned for ultra-fast edge response. Excels at Arabic & English conversational fluency, summarization, and instruction following.
Cloud Models Catalog
World-Class AI Models
World-Class AI Models
Ultra-Low Latency Inference
All models are accessible through a unified OpenAI-compatible endpoint. Benefit from high-throughput infrastructure, deterministic pricing, and instant failover.
Production-Ready Foundation Models
Optimized for speed, reasoning depth, multilingual accuracy, and enterprise reliability.
DeepSeek R1 Distill
Advanced reasoning model featuring autonomous Chain-of-Thought deliberation before outputting answers. Perfect for competitive math, algorithmic design, and rigorous logic.
Qwen 2.5 Coder 32B
Specialized code intelligence supporting 90+ programming languages. Generates production-ready refactors, unit tests, regex patterns, and architectural scaffolds.
FLUX.1 Schnell
Next-generation text-to-image synthesis engine producing photorealistic high-resolution visuals. Supports automated prompt enhancement with Arabic and English inputs.
Llama 3.2 11B Vision
Visual reasoning for OCR, chart analysis, invoice extraction, and image inspection. Accepts high-resolution images inline with text prompts.
Nashmi Smart Core
Dynamic multi-agent routing layer that inspects query semantics and directs queries to the optimal specialized model with automated fallback and caching.
One Line to Switch Any Model
Switch between models effortlessly by changing the model parameter in the official OpenAI SDK.
# Install official OpenAI client: pip install openai from openai import OpenAI client = OpenAI( base_url="https://softelv.ai/v1", api_key="sk-nashmi-your-api-key" ) # Call Llama 3.3 70B Fast in milliseconds response = client.chat.completions.create( model="llama-3.3-70b", messages=[{"role": "user", "content": "What are the best practices for building scalable AI APIs?"}] ) print(response.choices[0].message.content)