New AI Models

hy3

Hy3 is a reasoning and agent model from Tencent Hunyuan, built on a MoE architecture with 295B total parameters, 21B activated per token, and a 256K context window. Tencent positions it as rivaling flagship models with 2-5x its parameters, with particular strength in software development, office productivity, and financial modeling. The model is open-sourced under Apache 2.0 and available through Tencent Cloud API.

Wan2.7-Reference-To-Video-2026-06-12

Wan2.7-Reference-To-Video is the reference-to-video model in Alibaba's Tongyi Wanxiang 2.7 series. It accepts up to 5 mixed image and video references plus an optional voice reference, and outputs 720P or 1080P clips of 2 to 15 seconds with more stable character, prop, and scene consistency. It is suited to single-character performance and multi-character interaction. This 2026-06-12 snapshot is pinned for stable production use.

Wan2.7-Text-To-Video-2026-06-12

Wan2.7-Text-To-Video-2026-06-12 is the June 12, 2026 snapshot of Alibaba's Wan2.7 text-to-video model, a fixed version suited to stable production use. It generates fluid video from text prompts with upgraded acting: nuanced emotional scenes, hard-hitting action, and more dramatic, well-paced shot transitions. Output covers 720P or 1080P at 2 to 15 seconds, with audio uploaded or auto-generated to match the visuals.

Claude Sonnet 5

Released on June 30, 2026, Claude Sonnet 5 is Anthropic's balanced-tier model and its most agentic Sonnet yet, pairing top-tier intelligence with coding and everyday professional work. It improves on Sonnet 4.6 across reasoning, tool use, coding, and knowledge work, and approaches Opus 4.8 performance at lower cost on agentic evals like BrowseComp and OSWorld-Verified. It suits multi-step software engineering, autonomous computer use, and business automation.

Gemini Omni Flash

Gemini Omni Flash is Google's high-performance multimodal model for fast video generation and conversational video editing, introduced in public preview on June 30, 2026. It natively processes text, image, audio, and video, and uses the Interactions API to turn text prompts or still images into videos of 3 to 10 seconds with audio. Results can be refined through natural language conversation, with support for video extension, resolution upscaling, and interpolation.

Nano Banana 2 Lite

Nano Banana 2 Lite (model code gemini-3.1-flash-lite-image) is the efficiency tier of Google's image generation family, released to GA on June 30, 2026. It targets sub-2 second end-to-end latency and significantly reduced compute costs, making it suited to high-volume interactive and real-time consumer applications. The model supports interleaved text and image generation, is optimized for 1K (1024x1024px) output, and handles fast multi-turn local edits such as color swaps, stickers, and background adjustments, with SynthID watermarking always on.

grok-4.5

Grok 4.5 is xAI's smartest model to date, built to excel at coding, agentic tasks, and knowledge work. It is served at fast-model speeds of 80 TPS, delivers roughly 2x the token efficiency of comparable leading models, and is priced at $2 per million input tokens and $6 per million output tokens. It is available today in Grok Build, in Cursor on all plans, and through the xAI API, and handles Office work in Excel, PowerPoint, and Word with similar care.

Kling 3.0

Kling 3.0 is the standard video generation model from Kuaishou's Kling AI, built on a unified multimodal training framework that consolidates text-to-video, image-to-video and reference-based generation into one model. It generates clips up to 15 seconds with flexible duration, adds Multi-Shot storytelling and Element consistency control, and outputs Native Audio in Chinese, English, Japanese, Korean and Spanish, including dialects and accents, alongside improved prompt adherence and image realism. It suits multi-shot cinematic storytelling, multi-character dialogue scenes and e-commerce advertising.

Kling 3.0 Omni

Kling 3.0 Omni is the all-in-one video generation model in Kuaishou's Kling 3.0 family, upgrading Kling VIDEO O1 with a deeply unified multimodal training framework for native audio and video output. It supports Native Audio and Multi-Shot storytelling, generates 3 to 15 second videos with shot-level control over duration, framing, perspective, and camera movement, and its Element system accepts video and voice references to keep characters consistent in both look and sound, fitting narrative work such as ads and short dramas.

Kling Image O1

Kling Image O1 is a reasoning image generation model that draws on a broad knowledge base and multimodal reasoning to interpret complex creative intent. It supports up to 10 reference images, keeping subject contours, core elements, and tonal qualities consistent across a series. Text instructions handle detail edits and style transfer while preserving original lighting and texture. Internal evaluations showed higher win rates than Nano Banana, Flux 1.0 Kontext Pro, and Seedream 4.0 on instruction-transformation and multi-image reference tasks, suited to IP character design and brand visuals.

GPT-5.6 Sol

GPT-5.6 Sol is OpenAI's flagship model, launched in limited preview in June 2026 alongside the balanced Terra and fast, affordable Luna tiers. It adds a new max reasoning effort and an ultra mode that leverages subagents, sets a new state of the art on Terminal-Bench 2.1, and outperforms GPT-5.5 on GeneBench v1 with fewer tokens while matching Mythos Preview on ExploitBench with roughly a third of the output tokens. Preview access runs via the API and Codex for select partners, priced at $5 input and $30 output per 1M tokens.

Qwen-Image-2.0-Pro-2026-06-22

Qwen-Image-2.0-Pro-2026-06-22 is the latest dated snapshot of the full-strength Qwen-Image-2.0 Pro image model, released on Alibaba Cloud Model Studio on June 25, 2026. It unifies image generation and image editing in one model. Compared with the April snapshot, it renders text more accurately, accepts prompts up to 1k tokens, and delivers finer photorealistic detail with stronger semantic adherence. The pinned version number suits production workflows that need reproducible outputs.

Seed2.1

Seed2.1 is ByteDance's next-generation agentic model for real-world productivity, released in two sizes, Pro and Turbo. It brings major improvements to general agents and code engineering, covering end-to-end requirement understanding, coding, debugging, and validation in real development workflows. It also strengthens visual understanding, spatial reasoning, and long-context processing, and achieves SOTA results across multiple video understanding benchmarks.

GPT-5.5 Instant

GPT-5.5 Instant is OpenAI's updated default model for ChatGPT, rolling out to all users and available in the API as chat-latest. In internal evaluations it produced 52.5% fewer hallucinated claims than GPT-5.3 Instant on high-stakes prompts in medicine, law, and finance, with gains across visual reasoning, math, and science. Answers are tighter and less overformatted, and the model makes better use of context from past chats, files, and connected Gmail to personalize responses.

Fun-ASR-Flash-2026-06-15

Fun-ASR-Flash-2026-06-15 is the dated June 2026 snapshot of the Bailing large-model ASR line on Alibaba Cloud Model Studio, a fit for production workloads that need consistent output. It transcribes audio up to 5 minutes across 30 languages, supports all seven major Chinese dialect groups, and refines punctuation prediction and text normalization so numbers, dates, and amounts follow standard written formats. Recognition of classical Chinese poetry is specifically optimized, and usage is billed per second of audio from USD 0.00003.

GLM-5.2

GLM-5.2 is Zhipu AI's flagship model for long-horizon tasks, open-sourced under an MIT license with a solid 1M token context window. An IndexShare sparse-attention design trims per-token FLOPs by 2.9x at full context, and coding strength takes a major step up over GLM-5.1: 81.0 on Terminal-Bench 2.1 and 62.1 on SWE-bench Pro, the best among open-source models and second only to Claude Opus 4.8 on FrontierSWE and PostTrainBench. Adjustable thinking effort levels balance performance against latency for coding agents and long-running engineering work.

HappyHorse-1.1-I2V

HappyHorse-1.1-I2V is an image-to-video model from Alibaba Cloud Bailian that turns a single first-frame image into a 3 to 15 second clip with audio, offered at 480P, 720P, and 1080P with 24fps MP4 output. It interprets the input image more precisely and carries the creative intent forward, improving skin texture, cross-shot ID consistency, motion smoothness, text rendering stability, and audio-visual sync to produce detailed, coherent video.

HappyHorse-1.1-R2V

HappyHorse-1.1-R2V is a reference-to-video model on Alibaba Cloud Model Studio that generates video from up to 9 reference images combined with a text prompt. Building on the earlier release, it delivers more stable consistency of subjects, scene style, and overall visuals, with stronger controllability across characters, scenes, and cinematography. Generated videos run 3 to 15 seconds at 480P, 720P, or 1080P resolution.

HappyHorse-1.1-T2V

HappyHorse-1.1-T2V is a text-to-video generation model from Alibaba Cloud, offered on the Model Studio (Bailian) platform. It improves text comprehension, camera control, and motion generation over the previous release, translating creative intent more accurately into video with smoother motion, richer detail, and higher consistency in character action, scene atmosphere, and physics. It supports 3 to 15 second clips at 480P, 720P, or 1080P, targeting scenarios such as short dramas, e-commerce ads, brand marketing, and game CG.

Kimi K2.7 Code

Kimi K2.7 Code is a coding-focused agentic model from Moonshot AI, built on Kimi K2.6 with a Mixture-of-Experts architecture of 1T total and 32B activated parameters and a 256K context window. It targets long-horizon software engineering tasks, improving end-to-end completion while cutting thinking-token usage by about 30% versus K2.6, and scores higher on benchmarks such as Kimi Code Bench v2 and MCPMark-Verified. Weights are open under the Modified MIT License, deployable via vLLM and SGLang with OpenAI- and Anthropic-compatible APIs.