GenAIWiki

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.

Google

Gemini 4 Argon

FrontierLatest

Gemini 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.

FeaturedUpdated 7 days ago
geminigoogle

Google

Gemini Nano Banana 2.1

FrontierLatest

Gemini 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.

FeaturedUpdated 7 days ago
geminigoogle

Google

EmbeddingGemma 2

FrontierLatest

EmbeddingGemma 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.

FeaturedUpdated 7 days ago
gemmagoogle

Mistral AI

Mistral Large 4

FrontierLatest

Mistral Large 4 is Mistral's public-preview flagship, announced October 6, 2026. The launch post describes a 1-trillion-parameter model with 49 billion active parameters, trained on 3,800 NVIDIA Grace Blackwell GPUs, and says the weights will be released at the end of the month. The same-day model card lists 1.05 trillion total parameters, 52 billion active parameters, a 1.6 billion vision encoder, and a 1 million token context window. The pricing page lists a sale price of $0.68 input, $0.07 cached input, and $2.09 output per million tokens, and an original price of $1.36, $0.14, and $4.18. The preview API is on Mistral Studio. The model card renders the model string as mistral-large-4.

FeaturedUpdated 7 days ago
mistrallarge

Anthropic

Claude Sonnet 5.5

FrontierLatest

Claude Sonnet 5.5 is Anthropic's September 28, 2026 Sonnet model, documented as a clear upgrade over Claude Sonnet 5 that runs more than 30% faster and costs up to 30% less for most work. The Claude API ID is claude-sonnet-5-5. It has a 1M-token context window, 128K synchronous max output, text and image input, text output, adaptive thinking, and default effort high. Standard price is $2 input and $10 output per million tokens.

FeaturedUpdated 2 weeks ago
anthropicsonnet

OpenAI

GPT-6.1 Sol

FrontierLatest

GPT-6.1 Sol is OpenAI's current Sol model, positioned as near-Astra performance for complex work at a lower cost than Astra. The API ID is gpt-6.1-sol. It accepts text and image input, returns text, and has a 1,050,000-token context window, 128,000 max output, and a knowledge cutoff of April 30, 2026. Standard price is $2 input, $0.10 cached input, $2.50 cache writes, and $10 output per million tokens.

FeaturedUpdated 2 weeks ago
openaigpt-6

Google

Gemini 3.8 Flash TTS

FrontierLatest

Gemini 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.

FeaturedUpdated 2 weeks ago
googlegemini

ElevenLabs

Eleven v3

FrontierLatest

Eleven v3 is ElevenLabs' documented flagship for human-like, expressive speech. The model ID is eleven_v3. It supports 70+ languages and is used with the Text to Speech API and the Text to Dialogue API. The official models page lists a 5,000-character request limit, about five minutes of audio. Help Center still calls Eleven v3 the latest speech model; Eleven v4 is not on the models page.

FeaturedUpdated 2 weeks ago
elevenlabstts

Sarvam AI

Sarvam Vision

FrontierLatest

Sarvam 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.

FeaturedUpdated 2 weeks ago
sarvamvision

OpenAI

GPT-6 Astra

FrontierLatest

GPT-6 Astra is OpenAI's September 2026 flagship for the hardest end-to-end reasoning, coding, computer use, research, and document work. The API model ID is gpt-6-astra, with a 1,050,000-token context window, 128,000 max output tokens, text and image input, and reasoning.effort from low through max. OpenAI's safety overview (September 3, 2026) states Astra is the first broadly deployed OpenAI model to reach the Critical cybersecurity capability level under the Preparedness Framework.

FeaturedUpdated 5 weeks ago
openaigpt-6

Anthropic

Claude Fable 5.1

FrontierLatest

Claude Fable 5.1 is Anthropic's September 1, 2026 generally available flagship for demanding reasoning and long-horizon agentic coding, research, and document work. The API ID is claude-fable-5-1, with a 1M-token context window, 128K max output, adaptive thinking, and default high effort. Anthropic keeps the $10/$50 input/output list price of Fable 5 while cutting cache reads to $0.25 per million tokens.

FeaturedUpdated 5 weeks ago
anthropicclaude

Google

Gemini 3.8 Flash

FrontierLatest

Gemini 3.8 Flash is Google's September 2, 2026 workhorse for software engineering, agentic tasks, and multi-step reasoning at Flash speed. The DeepMind model card documents text, image, audio, and video input, a 1M-token context window, 64K output, and adjustable effort levels. Google keeps the same introductory price as 3.7 Flash: $0.75 input and $3.75 output per million tokens through December 31, 2026.

FeaturedUpdated 5 weeks ago
googlegemini

Google

Gemini 3.8 Live

FrontierLatest

Gemini 3.8 Live is Google's September 15, 2026 default Live API model for low-latency voice agents and real-time dialogue. The stable model code is gemini-3.8-live. It takes text, images, audio, and video, and returns text and audio, with a 131,072-token input limit and 65,536-token output limit. Google positions it for scale and cost efficiency: interleaved reasoning, asynchronous function calling, 97-language mid-conversation switching, and visual grounding while the session keeps talking. Audio sessions are listed at $0.005 per minute input and $0.018 per minute output on the developer Live post.

FeaturedUpdated 4 weeks ago
googlegemini

TypeSafe AI

Jev

FrontierLatest

Jev is TypeSafe AI's first System One model, launched in early access on September 15, 2026. It is not a chatbot: you send unstructured or structured state plus typed questions and get structured answers your code can branch on. The documented model alias is jev-latest on POST https://api.typesafe.ai/v1/systemone. Question primitives are Choice (up to 255 options), Score, and Noul (yes/no probability). TypeSafe lists $0.042 per million input tokens with output tokens unmetered, and 70–500 ms end-to-end on its launch workloads. Training is Reinforcement Learning for Calibrated Decisions (RLCD).

FeaturedUpdated 4 weeks ago
typesafejev

OpenAI

GPT-Live-1

FrontierLatest

GPT-Live-1 is OpenAI's full-duplex voice model for real-time spoken conversation. The API ID is gpt-live-1. It listens and speaks at the same time, handles interruptions, and delegates reasoning and tool use to a backend agent instead of doing that work itself. OpenAI's system card (July 8, 2026) introduced it as the paid ChatGPT voice default. The API launch post (September 10, 2026) documents Live sessions, native ASR transcripts and response text, keyword biasing, and turn detection. Voice sessions are billed $0.05 per minute, per second. Backend model and tool usage is billed separately.

FeaturedUpdated 4 weeks ago
openaigpt-live

Meta

Muse Spark 1.3

FrontierLatest

Muse Spark 1.3 is Meta's September 2, 2026 hosted model for long-horizon agentic and coding work. The API ID is muse-spark-1.3, with a 1,048,576-token context window, text/image/video/PDF input, and text output. Meta documents it in Muse Code and Meta Model API, with reasoning effort including max on the Standard tier. Official docs still list muse-spark-1.2 as the Muse Code default while recommending 1.3 for new API work.

FeaturedUpdated 5 weeks ago
metamuse

DeepSeek

DeepSeek-V4.1-Flash

FrontierLatest

DeepSeek-V4.1-Flash is DeepSeek's September 10, 2026 multimodal Mixture-of-Experts model and the smallest member of its new architecture family. The live API ID is deepseek-flash. Official materials describe a 552B-parameter Causal Encoder–Decoder MoE that activates 8B parameters on input and 16B on output, native image-and-text understanding, and a 1-million-token context. DeepSeek says V4.1-Flash outperforms DeepSeek-V4-Pro on performance, cost, speed, and total runtime. Weights are on Hugging Face under MIT.

FeaturedUpdated 4 weeks ago
deepseekv4.1

SpaceXAI

Grok 4.6

FrontierLatest

Grok 4.6 is SpaceXAI's frontier model for coding, long-running agents, knowledge work, and interactive visual projects. Official documentation lists text and image input, text output, a 500,000-token context window, configurable low through xhigh reasoning, function calling, web and X search, code execution, and the API model ID grok-4.6.

FeaturedUpdated 8 weeks ago
xaispacexai

Z.ai

GLM-5.3-Flash

FrontierLatest

GLM-5.3-Flash is Z.ai's first natively multimodal GLM-5 model: a 320B-parameter mixture-of-experts checkpoint with 18B active parameters, hybrid sparse and linear attention, and MIT-licensed weights. Z.ai documents API access as glm-5.3-flash, Coding Plan and ZCode availability, and Hugging Face weights for SGLang, vLLM, and TokenSpeed.

FeaturedUpdated 6 weeks ago
zaiglm

Alibaba Qwen

Qwen3.8-Max

FrontierLatest

Qwen3.8-Max is Alibaba Qwen's hosted 2.4-trillion-parameter mixture-of-experts flagship for coding, professional work, multimodal analysis, and long-horizon agents. Effective September 5, 2026 (UTC+8), the qwen3.8-max endpoint automatically serves the September 2 snapshot qwen3.8-max-0902 (alias qwen3.8-max-2026-09-02). QwenCloud says 0902 improves coding depth, multi-tool agent delivery, and visual understanding while keeping the 1M context, thinking mode, tools, and unchanged billing.

FeaturedUpdated 4 weeks ago
qwenalibaba

Microsoft AI

MAI-Image-2.6

FrontierLatest

MAI-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.

FeaturedUpdated 5 weeks ago
microsoftmai

By company

Latest verified models from each frontier company, summarized on one page.

All companies

All models

Filter and paginate the full catalog. Tabs control lifecycle scope.

Meta

Muse Voice Transcribe

CurrentLatest

Muse 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.

FeaturedUpdated 5 weeks ago
metamuse

Google

Gemini Omni 1.1 Flash

CurrentLatest

Gemini 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.

FeaturedUpdated 6 weeks ago
googlegemini

Google

Gemini 3.5 Transcribe

CurrentLatest

Gemini 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.

FeaturedUpdated 6 weeks ago
googlegemini

MiniMax

MiniMax M3

CurrentLatest

MiniMax 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.

FeaturedUpdated 8 weeks ago
frontierchina

OpenAI

ChatGPT Images 2.5

CurrentLatest

ChatGPT 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.

FeaturedUpdated 5 weeks ago
openaichatgpt

Google

WeatherNext 3

CurrentLatest

WeatherNext 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.

FeaturedUpdated 5 weeks ago
googledeepmind

Microsoft AI

MAI-Image-2.6

CurrentLatest

MAI-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.

FeaturedUpdated 5 weeks ago
microsoftmai

Google

Gemini 3.8 Flash Cyber

CurrentLatest

Gemini 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.

FeaturedUpdated 5 weeks ago
googlegemini

Google

TimesFM-3

CurrentLatest

TimesFM-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.

FeaturedUpdated 6 weeks ago
googlegoogle-research

Alibaba Qwen

Qwen3.8-Flash-Next

CurrentLatest

Qwen3.8-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.

FeaturedUpdated 6 weeks ago
alibabaqwen

Alibaba Qwen

Qwen3.8-2.4T-A95B

CurrentLatest

Qwen3.8-2.4T-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.

FeaturedUpdated 8 weeks ago
alibabaqwen

Microsoft Research

VibeVoice-ASR-BitNet

CurrentLatest

VibeVoice-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.

FeaturedUpdated 8 weeks ago
microsoftspeech-to-text

Alibaba Qwen

Qwen-Image-3.0

CurrentLatest

Qwen-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.

FeaturedUpdated 8 weeks ago
chinaqwen

IBM

Granite 4.2 30B

CurrentLatest

Granite 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.

FeaturedUpdated 6 weeks ago
ibmgranite

Google

Gemini Nano Banana 2.1

CurrentLatest

Gemini 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.

FeaturedUpdated 7 days ago
geminigoogle

Meta

Muse Image 1.0

CurrentLatest

Muse 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.

FeaturedUpdated 5 weeks ago
metamuse

Microsoft AI

MAI-Image-2.6-Flash

CurrentLatest

MAI-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.

FeaturedUpdated 5 weeks ago
microsoftmai

Z.ai

GLM-5.3

CurrentLatest

GLM-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.

FeaturedUpdated 8 weeks ago
zaiglm

Microsoft Research

Mage-Flow

CurrentLatest

Mage-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.

FeaturedUpdated 8 weeks ago
microsoftopen-weights

Google

EmbeddingGemma 2

CurrentLatest

EmbeddingGemma 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.

FeaturedUpdated 7 days ago
gemmagoogle

Google

Gemini 3.8 Flash TTS

CurrentLatest

Gemini 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.

FeaturedUpdated 2 weeks ago
googlegemini

Sarvam AI

Sarvam Vision

CurrentLatest

Sarvam 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.

FeaturedUpdated 2 weeks ago
sarvamvision

OpenAI

GPT-5.6 Terra

CurrentLatest

OpenAI'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.

Updated 8 weeks ago
reasoningcoding

Google

Gemini 4 Argon

CurrentLatest

Gemini 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.

FeaturedUpdated 7 days ago
geminigoogle

Recommended

Top current models by information quality score — good defaults when you are not sure where to start.

Anthropic

Claude Opus 5.5

CurrentLatest

Claude 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.

FeaturedUpdated 3 weeks ago
anthropicclaude

OpenAI

GPT-Image-2.5 Sunburst

CurrentLatest

GPT-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.

FeaturedUpdated 5 weeks ago
openaigpt-image

Alibaba Qwen

Qwen3.8-27B

CurrentLatest

Qwen3.8-27B 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.

FeaturedUpdated 8 weeks ago
alibabaqwen

Meta

Muse Glimmer 30B

CurrentLatest

Muse 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.

FeaturedUpdated 8 weeks ago
metamuse

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