New AI Models

Gemini Omni 1.1 Flash

Gemini Omni 1.1 Flash is Google DeepMind's generative video model, available in production through the Gemini API in Google AI Studio. Scene extension draws on up to 10 seconds of prior context, extends clips in 10-second increments to 40 seconds total, and accepts up to three seconds of video as reference input for visual consistency. Its 360p draft mode renders up to 60% faster at about a third of the cost of standard 720p, with 1080p and 4K upscaling available.

V8.2 Edit Model

Released on August 27, 2026 for open community testing, this is Midjourney's first V8.2 image edit model. It edits images from text instructions, generates new images from up to 4 image references at once (replacing omni-reference), and supports inpainting and outpainting for local changes and canvas expansion. Personalization, moodboards, and srefs are also supported. It is available on midjourney.com and alpha.midjourney.com, or via the --edit command on Discord.

V8.2 image edit model

Midjourney's first V8.2 image edit model is now open for everyone to test. It edits images from text instructions, generates new images from up to four references (replacing omni-reference), and supports inpainting and outpainting, along with personalization, moodboards, and srefs. You can use it by attaching an image to the prompt bar, clicking edit in the lightbox, or typing --edit on Discord.

GLM-5.3-Flash

GLM-5.3-Flash is the first natively multimodal model in Zhipu AI's GLM-5 series, with 320B total and 18B activated parameters, a hybrid sparse-plus-linear attention architecture, and a context window of up to 1M tokens. It outperforms GLM-5.2 across coding and agentic benchmarks at one-tenth the price and approaches Claude Opus 4.8, scoring 57 on the Artificial Analysis Intelligence Index at $0.045 per task. Suited to high-volume coding, agent workflows, and visual document understanding, its weights are available on Hugging Face.

hy4-preview

Hy4 preview is Tencent Hunyuan's new flagship open-source LLM built on a Mixture-of-Experts (MoE) architecture, with 770B total parameters, 49B activated per token, and a 1M-token context window. A native MTP layer enables speculative decoding for faster inference. Tuned for real productivity work in software engineering, office and data analysis, game development, and scientific research, it edged out GLM 5.3 and Kimi K3 in an internal blind evaluation across 203 engineering tasks. Weights ship under Apache 2.0, including an FP8 variant, and serve via vLLM or SGLang.

Qwen3.8-Flash

Qwen3.8-Flash is a multimodal LLM from Alibaba's Qwen team that pairs strong understanding and generation capability with fast response times. It natively supports a million-token context window, handling long documents, code repositories, and complex conversations in a single pass. The model targets coding assistance, agent workflows, and vision-language tasks, works with OpenAI and Anthropic API protocols in tools such as Claude Code and Codex, and offers competitive inference costs for high-concurrency applications.

GPT‑5.6

The GPT‑5.6 model family is OpenAI's latest flagship series, spanning Sol, Terra, and Luna, and is now available in Kiro, a software development agent for AI-native coding. It delivers stronger performance per dollar and on-demand capability for complex tasks, applied to long-running development work grounded in requirements, codebases, and team standards. In testing by OpenAI and AWS, GPT‑5.6 Terra completed Terminal-Bench 2.1 tasks in Kiro at roughly 82% cost reduction.

DeepSeek-V4-Flash-Vision-Exp

DeepSeek-V4-Flash-Vision-Exp is an experimental multimodal model released on the DeepSeek API Platform on August 21, 2026. It matches DeepSeek-V4-Flash on text tasks, including agents, reasoning, and world knowledge, while showing a major step up on multimodal agent benchmarks that brings it close to Opus-4.8. Images are billed at up to 384 tokens each at V4-Flash pricing and can be passed via base64, external URLs, or the Files API, making it a fit for agent workflows that pair visual understanding with tool calls.

Eleven v3 Conversational

Eleven v3 Conversational is ElevenLabs' most expressive realtime speech synthesis model, producing natural, emotionally rich speech at low latency of roughly 280ms. It supports 70+ languages and provides audio tags for fine-grained control over delivery. Typical uses include realtime support voice agents, AI assistants, and interactive characters, accessed via the new Text to Dialogue WebSocket.

Wan3.0-Video-Prime

Wan3.0-Video-Prime is the accelerated version of Alibaba Cloud's Wan video generation model, delivering significantly faster generation speed while maintaining high-quality output. It accepts text, image, video, and audio inputs in a single model, covering text-to-video, image-to-video (first frame and first-last frame), and reference-based video generation. It outputs video up to 30 seconds long at 480P, 720P, or 1080P with a 30fps frame rate.

GPT-5.6 Luna

GPT-5.6 Luna is the fastest, most cost-efficient tier in OpenAI's GPT-5.6 lineup, alongside the flagship Sol and the balanced Terra. It approaches GPT-5.5's overall capability at less than half the estimated cost and outscores Claude Opus 4.8 on the Artificial Analysis Coding Agent Index in about a third of the time. Priced at $1 per million input tokens and $6 per million output tokens, with an 80% price cut announced on July 30, it targets cost-sensitive workloads.

GLM-5.3

GLM-5.3 is Zhipu AI's flagship coding model, sharing the GLM-5.2 base model, with all gains from scaled post-training. Z.ai calls it the most capable open-weights model for coding, reaching open-source SOTA on Terminal Bench 3.0 and Agents' Last Exam and improving 50% over GLM-5.2 on the in-house Z.ai Code Bench. Its emergent cyber capability posts a state-of-the-art 84.5% on CyberGym for vulnerability discovery. Weights follow two weeks after launch, and it fits agentic coding and long-horizon work in agents like ZCode and Claude Code.

Qwen3.8-27B

Qwen3.8-27B is a 27B dense vision-language model in Alibaba's Qwen3.8 open-model family, with native image and video understanding. It strengthens coding and office-productivity capabilities in both text and vision modalities over Qwen3.6-27B, posting large gains on benchmarks such as SWE-bench Pro and OSWorld. The model offers a native 256K context window, extensible to 1M tokens, and is suited to coding, professional work, and long-horizon agentic tasks.

DeepSeek-V4-Pro-0813

DeepSeek-V4-Pro-0813 is the general-availability release of DeepSeek's V4 Pro text model, bringing major Agent upgrades with strong production gains. It supports three reasoning effort levels (low, high, max), native OpenAI Responses API compatibility, and one-click setup for Codex. Agentic and coding benchmarks such as Terminal Bench and DeepSWE show clear gains over the V4-Pro preview, and API pricing now uses peak and off-peak rates, with off-peak at half the peak price.

Gemini 3.7 Flash

Gemini 3.7 Flash is Google's workhorse model for coding and agents, released on August 13, 2026, three weeks after Gemini 3.6 Flash. It posts clear gains over its predecessor on benchmarks such as FrontierCode 1.1 Main (43.6% vs 34.4%) and DeepSWE v1.1 (65.3% vs 49.0%), and can build web UI that matches reference screenshots or design systems. Introductory pricing runs $0.75 per million input tokens and $3.75 per million output tokens, and it is available through the Gemini API, Google Antigravity, and AI Studio.

sign-language-to-text (SL2T)

SL2T is a massively multilingual sign-language-to-text translation model from Google DeepMind and Android that converts signing into streaming text, so users can sign anywhere they would normally type. Trained on more than 100,000 hours of data spanning over 50 sign languages, it launches with American Sign Language (ASL) to English and scores 70 BLEURT zero-shot on the FLEURS-ASL benchmark. It is available at no cost in Gboard and Live Transcribe on Pixel 11, with more devices and languages to follow.

Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B is the open-source release of Qwen's latest flagship series, launched in August 2026. It uses a sparse MoE architecture with 2.4 trillion total parameters and about 95 billion active parameters per step, combining hybrid attention with a 1 million token context window. Key benchmark results include GPQA Diamond 92.6, PaperBench 93.0, OSWorld 86.1, and BabyVision 82.0, with a fourth-place global ranking on CodeArena.

MAI-Code-1.1-Flash

MAI-Code-1.1-Flash is a small, efficient coding model from Microsoft, now in production in GitHub Copilot. Compared with the 1.0 release announced at Microsoft Build in June, it produces higher quality code at 25% greater token efficiency and one quarter of the cost, with a 22% gain on Terminal-Bench 2.1 and 15% on .NET tasks. Tokens also stream 25% faster, making it a practical fit for everyday coding assistance across IDE and CLI workflows.

Nemotron 3.5 Lightning (30B A3B)

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model with 30B total parameters (3B active, A3B) built for long-running agentic AI workloads. NVIDIA reports up to 4x faster output speed and 30% faster agentic task completion than other models in its class, with frontier-level accuracy on PinchBench. Offered with NVFP4 quantization, it runs locally on RTX PCs, DGX Spark, DGX Station and Jetson, and can be post-trained with NeMo for high-volume tasks such as code review and tool use.

Muse Glimmer-30B

Muse Glimmer-30B is a 30-billion-parameter agentic model from Meta Superintelligence Labs, open sourced under Apache 2.0 and optimized for always-on local agent workflows on a single consumer GPU. It handles precise tool calling, long-horizon multi-step reasoning, and interleaved text and image input across more than 100 languages. Meta reports strong results for its size class on agentic benchmarks such as SWE-Bench and tau-Bench versus Gemma4-31B and Qwen3.6-27B, with quantization bringing the model under 20 GB for local coding, function calling, and LLM-as-a-judge evaluation.