Structured cards
Model database
Filter by provider, architecture family, or full-text search across descriptions.
Frontier models
Verified flagships and this month’s launches—Gemini 4 Argon, Nano Banana 2.1, EmbeddingGemma 2, Mistral Large 4, Claude Sonnet 5.5, and GPT-6.1 Sol. Scroll sideways for the full shelf.
By company
Latest verified models from each frontier company, summarized on one page.
All models
Filter and paginate the full catalog. Tabs control lifecycle scope.
Meta
Muse Voice Transcribe
CurrentLatestMuse Voice Transcribe is Meta Superintelligence Labs' September 1, 2026 real-time audio perception model. The API ID is muse-voice-transcribe-1.0. It does streaming ASR with adaptive delay, speaker diarization for 20+ speakers, and native endpointing. Access is via Meta Model API (WebSocket realtime and file POST /v1/asr/transcribe), Meta AI for Mac, and Muse Code dictation.
Gemini Omni 1.1 Flash
CurrentLatestGemini Omni 1.1 Flash is Google's production video generation and editing model for developers. The August 27, 2026 announcement documents scene extension from up to 10 seconds of prior context to a 40-second cumulative clip, first-and-last-frame interpolation, 360p drafts, upscaling to 1080p or 4K, and video references, with the API model ID gemini-omni-1.1-flash.
Gemini 3.5 Transcribe
CurrentLatestGemini 3.5 Transcribe is Google's speech-to-text model for precise, formatted transcription of live and recorded audio. Google documents public-preview access in the Gemini API, Google AI Studio, Google Antigravity, and Gemini Enterprise Agent Platform, with product surfaces including Rambler on Android and the Gemini app on macOS.
MiniMax
MiniMax M3
CurrentLatestMiniMax M3 is a June 2026 open-weight multimodal model for coding, agentic workflows, computer use, and long-context work. MiniMax documents a one-million-token context window, native image and video understanding, and deployment through hosted or downloadable model paths.
OpenAI
ChatGPT Images 2.5
CurrentLatestChatGPT Images 2.5 is the September 8, 2026 ChatGPT image product for creating and editing images in conversation, the Images tab, Codex, and custom GPTs with Image Generation enabled. OpenAI's Images in ChatGPT help article says 2.5 brings sharper details, more precise editing, and faster generation, plus templates, mobile sketch-to-image, aspect-ratio control, and a selection editor. Images with thinking is available on Plus, Pro, and Business. The official DALL·E GPT was retired on August 30, 2026; ChatGPT Images replaces it.
WeatherNext 3
CurrentLatestWeatherNext 3 is Google DeepMind and Google Research's September 3, 2026 global weather AI model. It ingests live geostationary satellite mosaics and station observations to produce hourly forecasts, with surface variables down to 5 km and atmospheric variables at 25 km. Google is integrating it into Search, the Gemini app, Maps, the Maps Platform Weather API, Earth Engine, BigQuery, and Cloud Storage.
Microsoft AI
MAI-Image-2.6
CurrentLatestMAI-Image-2.6 is Microsoft AI's September 4, 2026 highest-precision image generation and editing model, in public preview on Microsoft Foundry and MAI Playground. Microsoft says it ranks No. 2 for text-to-image and image editing on Arena and Artificial Analysis as of September 4, with multi-image reference editing, web grounding, dynamic aspect ratios, and up to 1.5K resolution.
Gemini 3.8 Flash Cyber
CurrentLatestGemini 3.8 Flash Cyber is Google's September 2, 2026 defensive-security variant of Gemini 3.8 Flash, gated through the Fairwind Program for trusted government authorities, critical-infrastructure operators, and software maintainers. Google positions it for autonomous vulnerability discovery and automated patching, not public Gemini API self-serve.
TimesFM-3
CurrentLatestTimesFM-3 is Google Research's 330-million-parameter time-series foundation model for zero-shot univariate and multivariate forecasting. The August 31, 2026 announcement documents native multivariate forecasting in a single forward pass, past and past-future covariates, a pretraining corpus of more than 1 trillion time points, and availability on GitHub and Hugging Face, with BigQuery integration planned in the coming weeks.
Alibaba Qwen
Qwen3.8-Flash-Next
CurrentLatestQwen3.8-Flash-Next is Qwen's experimental open-weight preview of the architecture intended to underpin Qwen4. The official Hugging Face card documents a 125B MoE with 6B activated parameters plus 51B n-gram embeddings and a 4B MTP head, native 262,144-token context extensible to 1M, and text, image, and video input.
Alibaba Qwen
Qwen3.8-2.4T-A95B
CurrentLatestQwen3.8-2.4T-A95B is Qwen's downloadable 2.4-trillion-parameter sparse mixture-of-experts model with 95B activated parameters. The official model card documents text-only input and output, mandatory thinking, 262,144 native context extensible to roughly 1.01M, configurable reasoning effort, and a dedicated Qwen3.8-Max license.
Microsoft Research
VibeVoice-ASR-BitNet
CurrentLatestVibeVoice-ASR-BitNet is Microsoft Research's compressed automatic speech recognition model for real-time CPU and edge transcription without a GPU. Its official model card documents a 1.58 GB footprint, seven-language support, and real-time CPU performance under the tested configuration.
Alibaba Qwen
Qwen-Image-3.0
CurrentLatestQwen-Image-3.0 is Alibaba's third-generation image model for image generation, editing, complex layouts, and multilingual text rendering. The official Qwen release highlights inputs up to 4.5K, small text rendering down to 10 pixels, and native support for twelve languages.
IBM
Granite 4.2 30B
CurrentLatestGranite 4.2 30B is IBM's flagship dense reasoning model in the Granite 4.2 family released August 25, 2026. IBM documents Apache 2.0 weights in 3B, 8B, and 30B sizes, a native thinking/non-thinking switch, native tool calling, a 128K context window, and long-context extension to 512K on the 30B model.
Gemini Nano Banana 2.1
CurrentLatestGemini Nano Banana 2.1 is Google's generally available image model, released October 6, 2026 on the Gemini API as gemini-nano-banana-2.1. It updates Nano Banana 2 (gemini-3.1-flash-image), which the changelog deprecates with a shutdown on October 29, 2026. The model page lists a 131,072-token input limit and a 32,768-token output limit, with text, image, video, and PDF inputs and image plus text outputs. Resolutions are 1K by default, plus 2K and 4K, including wide ratios 1:4, 4:1, 1:8, and 8:1. It accepts up to 14 reference images, with up to 4 characters and up to 10 objects, and thinking levels minimal, medium (the default), and high. Google Search grounding and the Batch API are supported. The Gemini pricing page fetched October 7, 2026 lists rates for Nano Banana 2 and does not list a separate dollar rate for gemini-nano-banana-2.1.
Meta
Muse Image 1.0
CurrentLatestMuse Image 1.0 is Meta's hosted image generation and editing model on Meta Model API. The API ID is muse-image-1.0. One model handles text-to-image, image editing, and multi-image composition. Meta documents an agentic loop that can search the web for visual references and run code to plan layouts before rendering. Reach it through the Responses API or POST /v1/images/generations and /v1/images/edits.
Microsoft AI
MAI-Image-2.6-Flash
CurrentLatestMAI-Image-2.6-Flash is Microsoft AI's latency-optimized sibling of MAI-Image-2.6, announced September 4, 2026 for high-throughput production image generation. Microsoft says it generates images 2.8× faster than GPT-Image-2-Medium with 72% greater efficiency, while sharing multi-image reference editing, web grounding, and dynamic aspect ratios.
Z.ai
GLM-5.3
CurrentLatestGLM-5.3 is Z.ai's post-trained coding and agent model built on the same base model as GLM-5.2. Z.ai positions it for complex coding, long-horizon tasks, and cybersecurity evaluation, with mandatory thinking, low, high, and max reasoning effort, and availability through GLM Coding Plan and ZCode at launch.
Microsoft Research
Mage-Flow
CurrentLatestMage-Flow is Microsoft Research's MIT-licensed 4B image generation and editing family. The official model card provides base, reinforcement-learning-aligned, turbo, and editing variants for teams evaluating downloadable image models and custom serving.
EmbeddingGemma 2
CurrentLatestEmbeddingGemma 2 is Google's open embedding model, published October 6, 2026 under the Apache 2.0 license. It is not a generative Gemini API model. The launch post says it has 740 million parameters: a 270 million text encoder, an optional 170 million vision encoder, and a 300 million audio encoder. Embeddings are 768 dimensions and can be truncated to 512, 256, or 128. Context is 8,000 tokens, four times EmbeddingGemma 1. The post says it can process up to 5.5 minutes of audio, 29 images, or 58 video frames, and that the text-only configuration can run at 270 million parameters. Weights are on Hugging Face and Kaggle. Google says a Model Garden listing is coming soon. A vendor score on the post moves MTEB Code from 68.76 to 78.68.
Gemini 3.8 Flash TTS
CurrentLatestGemini 3.8 Flash TTS is Google's September 2026 creative and studio text-to-speech model. The model code is gemini-3.8-flash-tts. It takes text input and returns audio, with an 8,192-token input limit, a 16,384-token output limit, and 130 languages. Default unary audio is WAV. Google's Gemini API pricing page does not list a paid rate for this model ID.
Sarvam AI
Sarvam Vision
CurrentLatestSarvam Vision is Sarvam AI's document vision model for Indic and English pages. The documented API model ID is sarvam-vision, a 3B vision-language model covering 23 languages (22 Indian languages plus English). Document AI digitise and extract accept up to 10 pages per PDF and 200 MB per file, at 10 requests per minute. Sarvam's public pricing page lists ₹0.50 per page. The September 24, 2026 post describes Vision 2.1 as a capability update; the docs still use sarvam-vision.
OpenAI
GPT-5.6 Terra
CurrentLatestOpenAI's GPT-5.6 Terra is the balanced GPT-5.6 tier for teams that want strong reasoning and coding quality at a lower cost than the Sol flagship lane.
Gemini 4 Argon
CurrentLatestGemini 4 Argon is Google's September 30, 2026 frontier model. The launch post says it is rolling out only to trusted cyber defenders in the Fairwind Program, with broader developer, enterprise, and consumer access planned later, starting with the paid Gemini API and Google AI Ultra. Google has not published a Gemini API model ID, and the public models list does not include Argon. The same post sets an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input at 95% off the input price, then $4 and $20 per million after the introductory period. It does not give the end date of that period or an input context window. Output tokens are listed at 1 million, up from a previous 64,000. Vendor-reported scores on the post include 77.9% on DeepSWE v1.1, 51.3% on AutomationBench, 91.7% on LVBench, and a first-place tie at 68% on CWE-bench v1.
Recommended
Top current models by information quality score — good defaults when you are not sure where to start.
Anthropic
Claude Opus 5.5
CurrentLatestClaude Opus 5.5 is Anthropic's September 22, 2026 Opus-class model for long-running agentic coding and knowledge work, and the first model in the Claude 5.5 family. The Claude API ID is claude-opus-5-5, with a 1M-token context window, 128K synchronous max output, adaptive thinking that cannot be disabled, and default effort medium. Anthropic prices it at $4 input and $20 output per million tokens and says typical workloads cost about 40% less to run than Opus 5.
OpenAI
GPT-Image-2.5 Sunburst
CurrentLatestGPT-Image-2.5 Sunburst is OpenAI's September 8, 2026 most capable image generation and editing model. The API ID is gpt-image-2.5-sunburst, with dated snapshot gpt-image-2.5-sunburst-2026-09-08. It takes text and image input and outputs images. OpenAI positions it for workflows where editing precision matters most, with quality settings low, medium, high, xhigh, max, and auto. Call it on the Images API or as the model of the Responses API image generation tool.
Alibaba Qwen
Qwen3.8-27B
CurrentLatestQwen3.8-27B is Qwen's deployment-oriented dense multimodal model for coding, professional work, research, and long-horizon agents. The official repository documents 27B parameters, native image and video understanding, flexible reasoning effort, a 262,144-token native context extensible to 1M, and compatibility with Transformers, vLLM, SGLang, and TokenSpeed.
Meta
Muse Glimmer 30B
CurrentLatestMuse Glimmer 30B is Meta Superintelligence Labs' open-weight multimodal model for local agents, coding, tool use, long-horizon reasoning, and image understanding. Meta's model card documents a dense 29.6B-parameter architecture with a dedicated perception encoder, 131,072+ context, text-and-image input, text output, controllable reasoning effort, and Apache 2.0 weights.
Missing a frontier release? Add a model (editors)