Muse Image is an image generation model from Meta that generates and edits images from text and reference images. It supports text-to-image generation, targeted image editing, multi-image composition, reference-image conditioning for style and subject consistency, and precise text rendering within generated images. Iterative editing works by passing the previous output image back with a new instruction

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

Recraft V4 Styles Pro is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's rendering technique, colour, texture, and composition rather than editing it. It produces raster images at approximately 2K resolution. Note: 1 to 10 reference images in PNG, JPG or WEBP, each at least 256 px on its shortest edge. Pricing has two parts: $0.10 per image plus a one-time $0.005 style-creation charge per request, regardless of how many images that request returns. A single-image request costs $0.105, and a six-image request costs $0.605.

Recraft V4 Styles Vector is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's rendering technique, colour, texture, and composition rather than editing it. It produces SVG output for graphics that need to scale cleanly. Note: 1 to 10 reference images in PNG, JPG or WEBP, each at least 256 px on its shortest edge. Pricing has two parts: $0.05 per image plus a one-time $0.005 style-creation charge per request, regardless of how many images that request returns. A single-image request costs $0.055, and a six-image request costs $0.305.

Recraft V4 Styles Pro Vector is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's rendering technique, colour, texture, and composition rather than editing it. It produces SVG output for graphics that need to scale cleanly. Note: 1 to 10 reference images in PNG, JPG or WEBP, each at least 256 px on its shortest edge. Pricing has two parts: $0.12 per image plus a one-time $0.005 style-creation charge per request, regardless of how many images that request returns. A single-image request costs $0.125, and a six-image request costs $0.725.

Recraft V4 Styles is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's rendering technique, colour, texture, and composition rather than editing it. It produces raster images at approximately 1K resolution. Note: 1 to 10 reference images in PNG, JPG or WEBP, each at least 256 px on its shortest edge. Pricing has two parts: $0.035 per image plus a one-time $0.005 style-creation charge per request, regardless of how many images that request returns. A single-image request costs $0.040, and a six-image request costs $0.215.

Wan 3.0 is a video generation model from Alibaba for text-to-video, image-to-video, and reference-guided video generation. It produces 480p, 720p, or 1080p video with durations from 2 to 30 seconds.

HeyGen: Avatar IV is an image-to-video model that animates a single photo into an expressive, lip-synced talking-head video. Rather than only matching mouth shapes to words, it interprets the vocal tone, rhythm, and emotion of the audio to drive head motion, facial expression, and gestures, producing output at up to 1080p. The spoken audio comes from one of two inputs: a text script, which the model voices with HeyGen text-to-speech, or a supplied audio track, which the image is lip-synced to directly. Passthrough parameters let you choose a voice, tune voice settings, set expressiveness, prompt specific motion, replace or remove the background, add captions, and title the video.

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark 1.2. Your prompts and outputs may be used to improve Meta’s products, making it ideal for experimentation, learning, and early-stage projects without worry about spend. It is a reasoning model from Meta, tailored for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context window. The model is built to support multi-agent workflows, whether as either a main agent that plans and delegates or as a subagent executing in parallel. It works across multiple coding harnesses and supports structured output, parallel function calling, and configurable reasoning effort. In Meta’s testing, it performs well on multi-file refactors, extended debugging sessions, whole-repository generation, and tasks that stretch well past a single prompt.

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total. It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images.

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation. It uses 3B active parameters out of 30B total.

FLUX Video Upscale is a video upscaling model from Black Forest Labs. It enlarges a single source video by 1.5× to 3× while preserving its duration, with an optional prompt and precise or creative processing modes.

This model always redirects to the latest GLM model from Z.ai.

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and used to train Liquid models.

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is suited for reasoning, coding, multimodal understanding, long-context processing, and multi-step agent workflows.

Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its prompt-conditioned, cache-aware FastConformer-RNNT design targets low-latency transcription across more than 40 languages for real-time captioning, voice agents, and multilingual transcription pipelines.