123 models with profiles. Classification describes capabilities, not a quality ranking.
Google model generally available since October 13, 2026. It accepts text, images, audio and video and generates text, including code; it does not generate images, audio or video. It uses a MoE architecture and a shared 1,048,576-token window. Robotics applications use this same model, not a separate endpoint.
Text and reasoning · Paid proprietary↗ MicrosoftMicrosoft's multimodal family turns content requirements and optional visual references into editable HTML/CSS documents. The 8B and 32B checkpoints derive from Qwen3-VL-8B-Instruct and Qwen3-VL-32B-Instruct respectively. They produce code, not raster images or video files. The reference provides composition and style, while the prompt remains the source of truth for text, figures and relationships. The verified public release is October 11, 2026; earlier repository creation is not its release date.
Code · Open weights↗ MicrosoftMicrosoft's multimodal family turns content requirements and optional visual references into editable HTML/CSS documents. The 8B and 32B checkpoints derive from Qwen3-VL-8B-Instruct and Qwen3-VL-32B-Instruct respectively. They produce code, not raster images or video files. The reference provides composition and style, while the prompt remains the source of truth for text, figures and relationships. The verified public release is October 11, 2026; earlier repository creation is not its release date.
Code · Open weights↗ MistralLanguage and dialect classifier publicly released by Mistral on Hugging Face on October 9, 2026. It receives Arabic-script text and distinguishes Modern Standard Arabic, dialects and other languages sharing that writing system. It is neither a generative assistant nor a transcription model. It combines fastText one-vs-all, an MLP classifier and per-class isotonic calibration, returning a label and calibrated probabilities over 51 classes.
Text classification · Open weights↗ Alibaba QwenImage generation and editing model published on October 9, 2026. The Qwen/Qwen-Image-2.1-Turbo checkpoint uses Qwen Image 2.1's 7-billion-parameter visual component, accelerated to eight denoising steps. Its API identifier is qwen-image-2.1-turbo. Both access paths are recorded in one profile, without confusing Turbo with Pro or duplicating entries by platform.
Image · Restricted weights and paid API↗ TencentTencent's 5-billion-parameter multimodal model, publicly released on Hugging Face on October 9, 2026. It analyzes pages, images, charts, diagrams, geometry, audio and video, producing structured text in an OmniSchema JSON envelope. It does not generate images, music or video. A shared encoder processes modalities before the decoder; the requested task determines the schema and extracted elements.
Multimodal · Restricted weights↗ Ai2Ai2 checkpoint included in the public release of October 7, 2026, alongside the publication of Bolmo in Nature. It is an autoregressive model that processes text as UTF-8 bytes through local components, dynamic pooling and a global model. The verified modality is text-to-text: potential future extensions to images or audio are not available capabilities. The repository creation date in August is not used as the release date.
Text and reasoning · Open weights↗ Ai2Ai2 checkpoint included in the public release of October 7, 2026, alongside the publication of Bolmo in Nature. It is an autoregressive model that processes text as UTF-8 bytes through local components, dynamic pooling and a global model. The verified modality is text-to-text: potential future extensions to images or audio are not available capabilities. The repository creation date in August is not used as the release date.
Text and reasoning · Open weights↗ Ai2Ai2 checkpoint included in the public release of October 7, 2026, alongside the publication of Bolmo in Nature. It is an autoregressive model that processes text as UTF-8 bytes through local components, dynamic pooling and a global model. The verified modality is text-to-text: potential future extensions to images or audio are not available capabilities. The repository creation date in August is not used as the release date.
Text and reasoning · Open weights↗ Ai2Ai2 checkpoint included in the public release of October 7, 2026, alongside the publication of Bolmo in Nature. It is an autoregressive model that processes text as UTF-8 bytes through local components, dynamic pooling and a global model. The verified modality is text-to-text: potential future extensions to images or audio are not available capabilities. The repository creation date in August is not used as the release date.
Text and reasoning · Open weights↗ Ai2Ai2 checkpoint included in the public release of October 7, 2026, alongside the publication of Bolmo in Nature. It is an autoregressive model that processes text as UTF-8 bytes through local components, dynamic pooling and a global model. The verified modality is text-to-text: potential future extensions to images or audio are not available capabilities. The repository creation date in August is not used as the release date.
Text and reasoning · Open weights↗ Ai2Ai2 checkpoint included in the public release of October 7, 2026, alongside the publication of Bolmo in Nature. It is an autoregressive model that processes text as UTF-8 bytes through local components, dynamic pooling and a global model. The verified modality is text-to-text: potential future extensions to images or audio are not available capabilities. The repository creation date in August is not used as the release date.
Text and reasoning · Open weights↗ AnthropicAnthropic model released on October 7, 2026 for frequent, cost- and latency-sensitive tasks. It accepts text and images and returns text, including code; it does not generate images, audio or video. Its one-million-token window and adaptive thinking expand the Haiku family without making it a universal replacement for Sonnet or Opus on complex work.
Text and reasoning · Paid proprietary↗ AnthropicSonnet update for everyday tasks, code, and documents, with improved speed and a million tokens of context.
Text and reasoning · Paid proprietary↗ GoogleProduction image model that combines generation, editing, and visual reasoning with a balance of quality, cost, and latency.
Image · Paid proprietary↗ GoogleGoogle model for image generation and conversational editing, generally available since October 6, 2026. It replaces Nano Banana 2 and should not be confused with Nano Banana Pro. It accepts text, images, video and PDF as context; it produces images and text, not video or audio. Google reports improvements in visuals, instruction following, text rendering and consistency across edits.
Image · Paid proprietary↗ IBMTime-series forecasting ensemble published by IBM on October 5, 2026, according to the official repository's public publication event. It combines PatchTST-FM-r1, PatchTST-FM-r2, FlowState-r1.1 and TTM-r3. It distributes reproducible recipes, not merged weights or a newly trained checkpoint: the four members are downloaded from their respective repositories at runtime.
Time series · Open ensemble↗ Aleph AlphaAleph Alpha's text and code model, officially released on October 3, 2026, focused on German and English. Its MoE architecture has 78.1 billion total parameters and activates about 3.46 billion per token. It supports configurable reasoning and tool calling. FP8 and BF16 weights are released under Apache 2.0; they are two precisions of the same family, not two independent models.
Text and reasoning · Open weights↗
Technical analysis of NVIDIA's model for converting simulation controls into RGB video. We evaluate its architecture, published benchmarks, hardware requirements, and the physical limitations that prevent its use as a certified simulator.
22 Oct 2026 ↗
A rigorous evaluation of Mistral's text-to-speech model: hybrid architecture, evaluation metrics, per-character pricing, and practical limitations for engineering teams.
22 Oct 2026 ↗
A technical evaluation of Mistral's offline transcription variant: architecture, provider-reported metrics, deployment requirements, and criteria for choosing it over alternatives.
22 Oct 2026 ↗
Z.AI presents GLM-5.1 as a model for agentic engineering, and a model card for it is listed on Hugging Face. But the available information is not enough to confirm its license, execution requirements, official pricing, or benchmark results. This guide separates what is documented from what remains unverified and offers a checklist for evaluating the model.
03 Oct 2026 ↗
Cohere says Embed 5 Pro achieved the highest average score among the models it tested and highlights its performance on financial document retrieval. The available information does not make it possible to verify the score, methodology, exact price, or all conditions of use.
03 Oct 2026 ↗
The available documentation identifies Embed 5 Fast as part of the Embed 5 family, but it is not enough to confirm its input modalities, availability by channel, applicable price, or retrieval results. Here is what can be stated—and what still needs to be verified.
03 Oct 2026 ↗
Google describes Gemini 3.8 Live Extended Thinking as an audio-to-audio model for the Live API, recommended when more background reasoning is needed. The available documentation does not, by itself, show that this reduces errors or improves latency. Those questions require testing with controlled tasks and conditions.
02 Oct 2026 ↗
Google describes Gemini 3.8 Live as a model for real-time dialogue, but the available sources do not confirm a price, quantitative results, or complete access conditions. This guide separates the provider’s claims from what a team should verify in its own integration.
02 Oct 2026 ↗
ElevenLabs presents v4 Turbo as a low-latency variant and publishes median inference latency of around 100 ms. That figure is not the response time of a complete agent: measurement details, access conditions, applicable pricing, and model-specific security evidence are still missing.
02 Oct 2026 ↗