> ## Documentation Index > Fetch the complete documentation index at: https://docs.scitix.ai/llms.txt > Use this file to discover all available pages before exploring further. # ScitiX Model Inference [ScitiX Model Inference](https://www.scitix.ai/inference) is a high-efficiency, reliable, and cost-effective model API platform for developers and enterprises. It brings multiple model categories behind a unified, OpenAI-compatible API, with inference acceleration, elastic scaling, built-in observability, and enterprise-grade security to help you move from prototyping to production. ## Core Capabilities * **Unified API**: OpenAI-compatible REST and streaming interfaces for text generation, vision/multimodal, embeddings, and speech, so you can integrate with mainstream SDKs and coding tools with minimal changes. * **High-performance inference**: In-house inference acceleration and auto-scaling support low latency, high throughput, and stable long-context workloads. * **Rich model catalog**: Leading open-source models across multiple modalities, available through a single API and the Models page. * **Cost control**: Pay-as-you-go billing with elastic scaling, plus per-key quotas and TPM/RPM rate limits to manage spending. * **Observability and security**: Track token consumption, API call volume, throughput, and cost trends; manage API keys across their lifecycle, including pause and spending caps. ## Platform Entry Points * [**Model Selection & Playground**](/model-inference/get-started/model-selection-playground): Find and compare models on the Models page, then test prompts and parameters in the Playground. * [**First API Call**](/model-inference/get-started/first-api-call): Create an API Key and call models through the API. * [**View Usage**](/model-inference/usage/view-usage): Review token consumption, API requests, throughput, and model-level usage trends. ## Available Models and Coverage The platform currently offers models across text generation, reasoning, vision/multimodal, image generation, embeddings, and speech. For the latest model list and pricing, refer to the [Models](https://console.scitix.ai/model-inference/models) page in the console. | Type | Use cases | Example models | | ------------------------------------------- | ------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | | Text Generation / General-purpose Chat LLMs | Open-ended dialogue, knowledge Q\&A, content generation, agentic workflows, and coding assistance | `DeepSeek-V4-Flash`, `DeepSeek-V4-Pro`, `Qwen/Qwen3.5-397B-A17B`, `glm-5.2`, `openai/gpt-oss-120b`, `MiniMaxAI/MiniMax-M2.7`, `tencent/hy3` | | Reasoning Models | math problem solving, code generation, logical reasoning, and multi‑step inference | `Qwen/Qwen3-32B`, `Qwen/Qwen3.6-27B`, `Qwen/Qwen3.5-397B-A17B`, `kimi-k2.6` | | Vision / Multimodal Models | Image understanding, visual Q\&A, diagram analysis, and text-image workflows | `Qwen/Qwen2.5-VL-72B-Instruct`, `google/gemma-4-31B-it`, `kimi-k2.6` | | Image Generation Models | Text-to-image generation, image editing, creative design, and marketing assets | `gpt-image-2` | | Embedding Models | Semantic search, retrieval, reranking, and RAG pipelines | `Qwen/Qwen3-Embedding-8B`, `Qwen/Qwen3-Embedding-4B`, `Qwen/Qwen3-Embedding-0.6B`, `IEITYuan/Yuan-embedding-2.0-en` | | Speech Models | Speech-to-text transcription and text-to-speech synthesis | `bosonai/asr`, `bosonai/tts` | The model catalog is updated as newer versions are released. ## Typical Use Cases * **Intelligent Q\&A and assistants**: Build enterprise knowledge Q\&A, operations assistants, and customer service bots with general-purpose LLMs such as `Qwen/Qwen3-32B` or `DeepSeek-V4-Flash`. * **Content creation and ideation**: Generate marketing copy, long-form content, and structured documents. * **Code intelligence and developer productivity**: Use models such as `glm-5.2`, `Qwen/Qwen3.6-27B`, and `MiniMaxAI/MiniMax-M2.7` for agentic coding, refactoring, and multi-step development workflows. * **RAG (Retrieval-Augmented Generation)**: Build retrieval pipelines with embedding models such as `Qwen/Qwen3-Embedding-8B`, `Qwen/Qwen3-Embedding-4B`, `Qwen/Qwen3-Embedding-0.6B`, and `IEITYuan/Yuan-embedding-2.0-en`, then ground answers with a text generation model. * **Vision and multimodal understanding**: Run image description, visual Q\&A, and diagram analysis with models such as `Qwen/Qwen2.5-VL-72B-Instruct` and `kimi-k2.6`. * **Image generation and editing**: Generate marketing assets, concept art, and product visuals with image generation models such as `gpt-image-2`. * **Speech applications**: Build real-time transcription with `bosonai/asr` and conversational voice output with `bosonai/tts` for voice assistants and accessibility tools. * **Long-context workflows**: Process large documents or codebases in a single request with million-token models such as `DeepSeek-V4-Flash`. ## Billing and Cost Optimization * **Pay as you go**: Pay only for tokens used, with stable performance from development through production. * **Model mix**: Start with lower-cost models to validate use cases, then switch to stronger models as needed. * **Per-key limits**: Set quotas and TPM/RPM limits on each API key to reduce the risk of runaway usage. ## Services and Support * **Enterprise support**: Solution co-design, performance tuning, and production go-live assistance. * **Migration and compatibility**: OpenAI-style APIs compatible with mainstream SDKs and AI coding tools.