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Image interpretation
taaft.com/image-interpretation
10,021 subscribers
There is 1 GPT and 1 GPT for Image interpretation.
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Number of tools
1
Number of models
43
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Create X posts from images.Released 2y ago100% Free33345.0139
Models 43
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By Liquid AILFM2.5-VL-1.6B-Extract is Liquid AI’s larger vision-language extraction model for image-to-JSON structured field extraction.NewMultimodalReleased 2d ago
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By MiniMaxMiniMax M3 is MiniMax’s open-weight multimodal model for agentic coding, tool use, long-context tasks, and native text-visual reasoning.NewMultimodalReleased 9d ago
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By AlibabaQwen3.7-Plus is Alibaba Qwen’s multimodal agent model that unifies vision and language for agentic vision-language workflows.NewMultimodalReleased 10d ago
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By AnthropicClaude Opus 4.8 is Anthropic's new flagship model, released May 28, 2026. It improves on Opus 4.7 with stronger coding, more honest self-assessment, and a faster, cheaper fast mode, at the same standard pricing. New features include user-controlled effort levels and Dynamic Workflows for parallel subagents.NewMultimodalReleased 13d ago
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By CohereCommand A+ 05-2026 W4A4 is Cohere’s open-source quantized vision-language reasoning model for agentic, multilingual, tool-use, and enterprise tasks.NewMultimodalReleased 21d ago
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By ByteDanceLance is ByteDance’s open-source 3B active-parameter unified multimodal model for image and video understanding, generation, and editing.NewMultimodalReleased 23d ago
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By OpenBMBMiniCPM-V-4.6 is OpenBMB’s open-source lightweight multimodal model for efficient image, multi-image, and video understanding on mobile and edge devices.NewMultimodalReleased 30d ago
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By OpenAIGPT-5.5 Instant is OpenAI’s updated default ChatGPT model for fast everyday use. It is built for clearer, more concise, and more personalized responses, with better factual accuracy, stronger image understanding, improved STEM performance, and better judgment about when to use web searchNewMultimodalReleased 1mo ago
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By Luma AIUni-1.1 API is Luma’s closed-source REST API for image generation and natural-language image editing using its Unified Intelligence model.NewMultimodalReleased 1mo ago
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By NVIDIANemotron 3 Nano Omni is NVIDIA’s open multimodal reasoning model for agentic systems. It unifies text, image, video, and audio in a single efficient 30B-A3B hybrid MoE model, built to replace fragmented vision-language-audio stacks with one shared perception-and-context model for multimodal agents.NewMultimodalReleased 1mo ago
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By GestaltLabsOrnstein-Hermes-3.6-27b-MLX-8bit is Gestalt Labs’ 8-bit MLX quantization of Ornstein-Hermes-3.6-27b, a Hermes-format function-calling fine-tune of Qwen 3.6 27B multimodal. It is optimized for Apple Silicon, supports image-text-to-text use, and targets agentic tool use with near-lossless 8-bit compression.NewMultimodalReleased 1mo ago
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By Mistral AIMistral Medium 3.5 is Mistral’s new flagship merged model for instruction following, reasoning, and coding. It is a dense 128B model with a 256K context window, built for long-horizon productivity and agentic work, with configurable reasoning effort and strong self-hosted efficiency.NewMultimodalReleased 1mo ago
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By SenseTimeSenseNova-U1-8B-MoT is SenseNova’s open native multimodal model for unified image understanding, reasoning, generation, and editing. It is built on the NEO-Unify architecture, uses an 8B dense MoT backbone, and supports text-to-image, image-to-text, image editing, and interleaved image-text generation in one model.NewMultimodalReleased 1mo ago
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By Kai StephensCarnice-V2-27B is a BF16 supervised fine-tune of Qwen3.6-27B for Hermes-style agent traces. It is built for agentic conversational use, instruction following, and tool-oriented workflows, and is released as a fully merged standalone checkpoint rather than only a LoRA adapter.NewTextReleased 1mo ago
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By AntGroupLLaDA2.0-Uni is Inclusion AI’s unified multimodal diffusion MoE model for both image understanding and image generation. It is built on a dLLM backbone and supports text-to-image, image understanding, image editing, interleaved reasoning, and “thinking mode” image generation in one system.NewTextReleased 1mo ago
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By AlibabaQwen3.6-27B is Qwen’s open-weight multimodal model for coding, agent workflows, long-context reasoning, and vision-language tasks. It combines a 27B causal language model with a vision encoder, supports image-text-to-text use, and offers a native 262,144-token context window extendable to about 1.01M tokens.NewMultimodalReleased 1mo ago
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By Moonshot AIKimi-K2.6 is Moonshot AI’s open-source native multimodal agentic model, built for long-horizon coding, coding-driven design, proactive autonomous execution, and large-scale multi-agent orchestration. It uses a MoE architecture with 1T total parameters, 32B active parameters, a 256K context window, and a MoonViT vision encoder.NewMultimodalReleased 1mo ago
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By AnthropicClaude Opus 4.7 is Anthropic’s latest generally available frontier model, tuned for advanced software engineering, long-running autonomous tasks, stronger instruction following, and better high-resolution vision. It is positioned as a clear upgrade over Opus 4.6, especially for difficult coding work, while keeping the same pricing.NewMultimodalReleased 1mo ago
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By AlibabaQwen3.6-35B-A3B is Qwen’s open-weight multimodal MoE model for coding, agentic workflows, long-context reasoning, and vision-language tasks. It has 35B total parameters with 3B activated, supports image-text-to-text use, preserves reasoning context across turns, and natively handles 262,144 tokens with extension up to about 1.01M.NewMultimodalReleased 1mo ago
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By Liquid AILFM2.5-VL-1.6B-Extract is Liquid AI’s 1.6B vision-language extraction model for image-to-JSON structured field extraction.NewMultimodalReleased 2mo ago
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By Liquid AILFM2.5-VL-450M is Liquid AI’s compact vision-language model for structured visual intelligence from edge to cloud. It is built to turn image streams into grounded, actionable outputs in real time, adding object grounding, better instruction following, multilingual image understanding, and function calling support while staying efficient enough for edge hardware.NewImageReleased 2mo ago
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Muse Spark is Meta Superintelligence Labs’ first model, built as a fast multimodal assistant for everyday use across Meta’s apps and devices. It currently powers the Meta AI app and website, with rollout planned for WhatsApp, Instagram, Facebook, Messenger, and AI glasses, and is positioned as Meta’s most powerful assistant model so far.NewTextReleased 2mo ago
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By HuaweiAURA is a real-time multimodal streaming system for continuous video understanding with speech interaction. It is built as an always-on assistant over live video streams and is released on Hugging Face as an Apache 2.0 project built on top of Qwen3-VL-8B-Instruct.NewMultimodalReleased 2mo ago
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By NVIDIAGemma-4-31B-IT-NVFP4 is NVIDIA’s inference-optimized NVFP4 quantized version of Gemma 4 31B IT. It is a commercial-ready multimodal model for text, image, and video understanding with text output, built for reasoning, coding, chat, and agentic workflows while preserving the original model’s long 256K context window.NewMultimodalReleased 2mo ago
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Gemma 4 is Google DeepMind’s open-weight model family built from Gemini 3 research, focused on high intelligence-per-parameter, agentic workflows, multimodal reasoning, multilingual use, coding, and efficient local deployment.NewMultimodalReleased 2mo ago
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By MeituanLongCat Next is a multimodal LongCat model focused on compact yet capable visual and speech understanding. The official intro highlights strong performance despite a 28x compression ratio, with particular strength in text rendering, speech comprehension, low-latency voice conversation, and customizable voice cloning.NewMultimodalReleased 2mo ago
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By MoondreamPhoton is Moondream’s real-time vision-language model aimed at production video and image analysis. It is designed to deliver VLM-style visual reasoning fast enough for live use cases such as manufacturing inspection, broadcast moderation, retail monitoring, and security feeds.NewMultimodalReleased 2mo ago
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By NVIDIAAlpamayo 1.5-10B is NVIDIA’s open 10B vision-language-action model for autonomous driving. It is built as a steerable reasoning engine for AV research, combining multi-camera visual input, text, and egomotion history to produce both chain-of-causation reasoning and future driving trajectories.NewMultimodalReleased 2mo ago
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By XiaomiMiMo-V2-Omni is an omni foundation model that unifies multimodal understanding with agentic capability, built to see, hear, and act.NewMultimodalReleased 2mo ago
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By OpenAIGPT-5.4 nano is the smallest, lowest-cost GPT-5.4-family model, optimized for speed and high-throughput tasks.NewMultimodalReleased 2mo ago
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By OpenAIGPT-5.4 mini is a fast, efficient GPT-5.4-family model optimized for high-volume coding and agent workloads, while keeping strong reasoning, multimodal understanding, and tool use.NewMultimodalReleased 2mo ago
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By Mistral AIMistral Small 4 is an open hybrid model that unifies instruct, reasoning, and coding in a single multimodal model with a 256k context window.NewMultimodalReleased 2mo ago
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By TencentPenguin-VL-2B is a compact vision-language model that uses an LLM-based vision encoder to push efficiency limits in multimodal reasoning.NewMultimodalReleased 2mo ago
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By TencentPenguin-VL-2B is a compact vision-language model that uses an LLM-based vision encoder to push efficiency limits in multimodal reasoning.MultimodalReleased 3mo ago
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By AlibabaQwen3.5-9B is a larger dense vision-language causal model with a vision encoder, targeting stronger capability for multimodal reasoning and agentic useMultimodalReleased 3mo ago
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By AlibabaQwen3.5-4B is a mid-size vision-language causal model with a vision encoder, designed for multimodal reasoning, coding, and agent workflows with very long context.MultimodalReleased 3mo ago
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By AlibabaQwen3.5-2B is a small vision-language causal model with a vision encoder, aimed at strong multimodal capability with efficient compute.MultimodalReleased 3mo ago
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By AlibabaQwen3.5-0.8B is a compact vision-language causal model with a vision encoder, built for multimodal understanding and agentic tool use at small scale.MultimodalReleased 3mo ago
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By Mistral AIMinistral 3 14B Instruct 2512 is Mistral’s largest Ministral 3 model, built as an efficient instruction model with vision capabilities. Mistral positions it as delivering frontier-level capability while staying compact enough for local or edge deployment.MultimodalReleased 6mo ago
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By MoondreamMoondream 3 Preview is a compact frontier-oriented vision-language model built for fast visual reasoning, grounding, OCR, object detection, pointing, and structured output. It uses a 9B MoE architecture with 2B active parameters and extends context length to 32K, aiming to deliver strong real-world vision performance while staying efficient and inexpensive to run.MultimodalReleased 8mo ago
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By ustcwhyBitVLA is a 1-bit vision-language-action model for robotic manipulation designed to run efficiently on memory-constrained edge platforms.MultimodalReleased 1y ago
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By MoondreamMoondream 0.5B is a tiny open-source vision-language model built for edge devices and mobile platforms. With only 0.5B parameters, it is positioned as the world’s smallest VLM, designed for fast lightweight deployment on constrained hardware while still supporting practical real-world visual tasks.ImageReleased 1y ago
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By MoondreamSmall, efficient open-source vision-language model designed to run broadly on many devices.MultimodalReleased 1y ago
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