SiriusAI

A free automatic-routing model option that selects an appropriate backend model based on the request. Lets users access capable AI without selecting a specific model, useful for testing, experimentation, and default deployments.

A text-to-speech model converting written text into natural, expressive spoken audio. Supports multiple voices and languages, suitable for voice assistants, audiobook narration, and accessibility applications.

An embedding model for converting text into semantic vector representations. Optimized for retrieval, semantic similarity, and RAG pipelines, enabling accurate search and knowledge-base applications.

An agentic model tuned for autonomous, multi-step task execution rather than single-turn answers. It coordinates generation, verification, and iteration as separate stages, so plans are checked and revised before being accepted, and it carries structured memory across a long-running session. Strong on tool invocation, research and discovery pipelines, and algorithm design tasks where results need to survive verification. Well suited to building AI agents for scientific, engineering, and analytical automation.

A production-grade multimodal model delivering high-quality text and image generation. Supports conversational tasks, visual content creation, and creative workflows through a scalable API, ideal for AI-driven products and content platforms.

A next-generation multimodal text model from Agnes AI, designed for agentic coding and tool-driven development workflows. Focuses on stable execution, reliable tool orchestration, long-task context retention, and high-quality output delivery across multi-step agent tasks. Supports text and image input with a 512K context window, making it ideal for building dependable AI agent applications and complex development pipelines.

A production-grade video generation model supporting text-to-video, image-to-video, and keyframe animation workflows. Generates high-quality cinematic video content with strong visual consistency across frames. Supports asynchronous task-based API for scalable video generation. Available in 480p, 720p, and 1080p resolutions with standard aspect ratios including 16:9, 9:16, 1:1, 4:3, and 3:4. Ideal for storytelling, marketing videos, social media content, product demos, and creative AI workflows.

A next-generation video generation model supporting text-to-video, image-to-video, and keyframe animation workflows. Produces cinematic, temporally consistent footage with improved motion realism, sharper detail, and more stable subjects than earlier versions. Offers asynchronous task-based generation across standard aspect ratios including 16:9, 9:16, 1:1, 4:3, and 3:4. Ideal for short films, marketing videos, social media clips, product demos, and creative AI pipelines.

A compact, efficient model designed for responsive everyday AI workloads, including conversation, lightweight reasoning, coding assistance, and structured text generation. It is suited to applications that prioritize low latency, consistent output, and economical inference, such as assistants, automation workflows, and API powered products.

A fast image creation and editing model built for rapid turnaround and high throughput. Generates polished graphics, infographics, and illustrations from text prompts with accurate text rendering, and supports reference-image editing for consistent layouts. Ideal for social media graphics, posters, infographics, marketing assets, and automated design workflows.

A lightweight image creation and editing model optimized for efficiency and cost. Turns text prompts into clean, production-ready graphics and infographics, and supports reference-image editing with flexible subject control. Combines generation and editing in one workflow, ideal for social media graphics, posters, banners, slide visuals, and everyday design content.

A science-oriented multimodal model that pairs broad general-purpose ability with dedicated scientific agents and discovery workflows. Built for long-horizon research spanning disciplines, it handles literature understanding, hypothesis building, solution design, and experimental verification in one continuous process. Suited to chemistry, materials, biology, and earth science work where results must be reproducible and traceable rather than merely plausible.

A streaming speech-to-text model supporting 39 languages including Chinese, English, Japanese, Korean, French, German, Spanish, Italian, Russian, Arabic, Hindi, Thai, Vietnamese, Portuguese, Dutch, and more. Features configurable latency from 80ms to 1s with built-in punctuation and capitalization. Suited for real-time captioning, voice assistants, and multilingual transcription requiring fast, reliable speech recognition.

A mixture-of-experts model built for everyday decision making rather than benchmark scores. Trained on extensive real-world lifestyle and preference data, it targets the fuzzy questions general models handle poorly, such as where to go, what to eat, how to arrange a trip, or how to style a room, with a 512K context window for long reference material. Accepts text, images, and files, and exposes adaptive thinking with controllable reasoning effort. Useful for consumer assistants, recommendation and search-style products, and localized content workflows.

A high-performance large language model delivering fast, accurate responses across conversation, coding, reasoning, and content generation tasks. Balances intelligence with speed and affordability, making it well-suited for chatbots, productivity tools, business automation, and application backends. Accessible through an OpenAI-compatible API.

A versatile image generation model supporting text-to-image and image-to-image transformation. Generates high-quality visuals from natural language prompts with strong prompt adherence and stylistic flexibility. Suitable for creative design, illustration, photo-realistic rendering, and visual content production. Supports multiple resolution presets and aspect ratios for diverse output needs.

An advanced text-to-image generation model designed for high-information-density scenes with complex compositions and rich visual details. Supports text-to-image, image-to-image editing, and multi-image compositing workflows. Optimized for preserving original composition and subject layout during edits. Outputs up to 4K resolution with flexible aspect ratios including 1:1, 3:4, 4:3, 16:9, 9:16, 2:3, 3:2, and 21:9. Ideal for concept art, marketing visuals, product photography, and social media creative assets.

An upgraded text-to-image generation model built for high-information-density scenes with complex compositions and rich visual detail. Supports text-to-image, image-to-image editing, and multi-image compositing, with stronger prompt adherence, finer texture, and improved preservation of composition and subject layout during edits. Outputs up to 4K resolution with flexible aspect ratios including 1:1, 3:4, 4:3, 16:9, 9:16, 2:3, 3:2, and 21:9. Ideal for concept art, marketing visuals, product photography, and social media creative assets.

A real-time multimodal speech model enabling low-latency, streaming voice conversations with natural turn-taking and immediate responses. Supports live dialogue, voice-enabled assistants, and interactive applications that require fluid, human-like interaction. Accessible through an OpenAI-compatible realtime API.

A multifunctional speech understanding model supporting Mandarin Chinese, Cantonese, English, Japanese, and Korean. Performs simultaneous speech recognition, spoken language identification, emotion recognition, and audio event detection (e.g., applause, laughter, crying, coughing) from a single audio input. Non-autoregressive architecture enables exceptionally low inference latency, ideal for real-time voice analytics, content moderation, and multimodal audio understanding.

A high-density agent model built for fast, cost-efficient execution of coding and agent tasks. A sparse mixture-of-experts design activates only a small share of its parameters per token, which keeps time-to-first-token under three seconds and peak output throughput up to 300 tokens per second while reducing iteration steps and token consumption on agent workloads. Reasoning strength is exposed across four controllable levels, with readable reasoning chains at the highest setting. Well suited to tool orchestration, multi-step engineering work, and high-frequency automated pipelines.

A model with one of the largest context windows available, taking 1,000,000 input tokens in a single call and returning up to 524,288 tokens per response. Accepts text, image, audio, and video natively, exposes adjustable reasoning effort, and performs strongly on coding tasks. A practical fit for whole-repository analysis, long document review, and extended agent sessions where the workload must stay in one context instead of being split into many small fragments.