Claude Sonnet 5.5
Anthropic
Claude Sonnet 5.5 offers the best combination of speed and intelligence, with adaptive thinking for coding, tool use, reasoning, and long-horizon work.
@claude-sonnet-5.5
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Modele AI
AI që ndërton sajtin tënd ekzekutohet mbi Claude Opus 5.5 nga Anthropic. Dhe çdo aplikacion që krijon mund të përdorë 206 modele të tjera për bisedë, imazhe, video, zë, përkthim dhe kërkim, pa asnjë çelës API.
206
modele
42
ofrues
13
aftësi
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13 aftësi
Kërko dhe filtro çdo model të disponueshëm për aplikacionet e tua.
Anthropic
Claude Sonnet 5.5 offers the best combination of speed and intelligence, with adaptive thinking for coding, tool use, reasoning, and long-horizon work.
@claude-sonnet-5.5
Anthropic
Claude Sonnet 5 is Anthropic's most agentic Sonnet model yet, built for coding, tool use, reasoning, and long-horizon professional work at lower cost than Opus-class models.
@claude-sonnet-5
Anthropic
Claude Sonnet 4.6 is Anthropic's latest balanced model offering strong coding, reasoning, and agentic capabilities with improved instruction following.
@claude-sonnet-4.6
Anthropic
Claude Sonnet 4.5 is the best coding model to date, with significant improvements across the entire development lifecycle.
@claude-sonnet-4.5
Anthropic
Claude Opus 5.5 is Anthropic's model for long-running agentic coding and knowledge work. It combines a one million token context window with adaptive thinking that is always on, a 128K token maximum output, and a medium default effort level.
@claude-opus-5.5
Anthropic
Claude Opus 5 is Anthropic's model for complex agentic coding and enterprise work, delivering intelligence close to Claude Fable 5 at half the price. It uses adaptive thinking to calibrate reasoning per task and supports a one million token context window at standard pricing. Unlike Fable 5, Opus 5 has no data retention requirements for general access.
@claude-opus-5
Anthropic
Claude Opus 4.8 is Anthropic's most capable generally available model, with a step-change improvement in agentic coding over Claude Opus 4.7. It uses adaptive thinking to calibrate reasoning per task and supports a one million token context window at standard pricing.
@claude-opus-4.8
Anthropic
Claude Opus 4.7 is Anthropic's most capable generally available model, with a step-change improvement in agentic coding over Claude Opus 4.6. It uses adaptive thinking to calibrate reasoning per task and supports a one million token context window at standard pricing.
@claude-opus-4.7
Anthropic
Claude Opus 4.6 is Anthropic's flagship language model built for complex, multi-step work in coding, financial analysis, and legal reasoning. It uses extended thinking to work through complex problems carefully and features a one million token context window.
@claude-opus-4.6
Anthropic
Claude Opus 4.5 brings further reasoning, coding, and agentic improvements over Opus 4.1, with stronger tool use and tighter instruction following.
@claude-opus-4.5
Anthropic
Claude Haiku 4.5 delivers similar levels of coding performance at one-third the cost and more than twice the speed of larger models.
@claude-haiku-4.5
Anthropic
Claude Fable 5.1 is Anthropic's next model in the Fable family, with improvements in agentic coding, long-running agentic workflows, knowledge work, front-end and visual code generation, and finance and analysis tasks. It supports adaptive thinking and a 1M token context window.
@claude-fable-5.1
OpenAI
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.
@whisper-large-v3-turbo
OpenAI
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.
@whisper
OpenAI
OpenAI's high-definition text-to-speech model producing higher quality audio output.
@tts-1-hd
OpenAI
OpenAI's text-to-speech model optimized for real-time use with low latency.
@tts-1
OpenAI
OpenAI's fast, lightweight reasoning model optimized for multi-step problem solving at lower cost.
@o4-mini
OpenAI
o3-mini is the lightweight, low-cost reasoning variant of o3, well suited to quick analytical tasks at scale.
@o3-mini
OpenAI
o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.
@o3
OpenAI
OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases – gpt-oss-120b is for production, general purpose, high reasoning use-cases.
@gpt-oss-120b
OpenAI
OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases – gpt-oss-20b is for lower latency, and local or specialized use-cases.
@gpt-oss-20b
OpenAI
OpenAI's next-generation image model that creates and edits images from text prompts, with support for multiple quality levels, sizes, and output formats. Note: transparent backgrounds are not supported — use openai/gpt-image-1.5 for transparent PNGs.
@gpt-image-2
OpenAI
OpenAI's image generation model that creates and edits images from text prompts, supporting multiple quality levels and output sizes.
@gpt-image-1.5
OpenAI
GPT-5.6 Terra is an OpenAI GPT-5.6 model that balances intelligence and cost, using the Responses API for reasoning and stateful context management.
@gpt-5.6-terra
OpenAI
GPT-5.6 Sol is OpenAI's frontier GPT-5.6 model for complex professional work, using the Responses API for reasoning and stateful context management.
@gpt-5.6-sol
OpenAI
GPT-5.6 Luna is an OpenAI GPT-5.6 model optimized for cost-sensitive workloads, using the Responses API for efficient text generation.
@gpt-5.6-luna
OpenAI
GPT-5.5 pro uses OpenAI's Responses API with built-in tools, improved reasoning, and stateful context management.
@gpt-5.5-pro
OpenAI
GPT-5.5 is OpenAI's flagship model with strong coding, reasoning, and multimodal capabilities.
@gpt-5.5
OpenAI
GPT-5.4 pro uses OpenAI's Responses API with built-in tools, improved reasoning, and stateful context management.
@gpt-5.4-pro
OpenAI
GPT-5.4 nano is OpenAI's smallest and fastest model, optimized for edge and low-latency use cases.
@gpt-5.4-nano
OpenAI
GPT-5.4 mini is a smaller, faster, and more cost-efficient version of GPT-5.4 for lightweight tasks.
@gpt-5.4-mini
OpenAI
GPT-5.4 is OpenAI's flagship model with strong coding, reasoning, and multimodal capabilities.
@gpt-5.4
OpenAI
GPT-5.1 is OpenAI’s incremental improvement over GPT-5, with stronger coding, reasoning, and writing.
@gpt-5.1
OpenAI
GPT-5 Nano is OpenAI’s smallest GPT-5 variant, optimized for low latency and cheap, high-throughput tasks.
@gpt-5-nano
OpenAI
GPT-5 Mini is the lightweight, low-cost variant of GPT-5, well suited to high-volume coding and reasoning tasks.
@gpt-5-mini
OpenAI
OpenAI's model excelling at coding, writing, and reasoning.
@gpt-5
OpenAI
GPT-4o Mini is the lightweight, low-cost variant of GPT-4o, well suited to high-volume tasks with multimodal inputs.
@gpt-4o-mini
OpenAI
GPT-4o is OpenAI’s multimodal flagship, accepting text and images and responding quickly across a wide range of tasks.
@gpt-4o
OpenAI
GPT-4.1 Nano is OpenAI’s smallest and cheapest GPT-4.1 variant, optimized for high-throughput, low-latency tasks.
@gpt-4.1-nano
OpenAI
Fast, affordable version of GPT-4.1 with a million-token context window.
@gpt-4.1-mini
OpenAI
OpenAI's flagship GPT model for complex tasks with a million-token context window.
@gpt-4.1
A faster version of Veo 3.1 optimized for lower latency while maintaining high-quality video and audio output.
@veo-3.1-fast
Google's latest video generation model with improved quality, motion, and audio generation.
@veo-3.1
Google's higher-quality image generation model with improved detail and prompt adherence.
@nano-banana-pro
Google's second-generation image generation model with improved quality and speed.
@nano-banana-2
Google's fast image generation model producing high-quality images from text prompts.
@nano-banana
Gemma 4 is Google's most intelligent family of open models, built from Gemini 3 research to maximize intelligence-per-parameter.
@gemma-4-26b-a4b-it
Google's frontier model for deep work on complex, real-world tasks across coding, finance, legal, cybersecurity and science. The first model in the Gemini 4 family.
@gemini-4-argon
Gemini 3.7 Flash is a highly capable, natively multimodal reasoning model optimized for agentic workflows and real-world tasks.
@gemini-3.7-flash
Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost, excelling at code generation, agentic execution, and spatial reasoning.
@gemini-3.6-flash
Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing.
@gemini-3.5-flash-lite
Gemini 3.5 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.
@gemini-3.5-flash
Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.
@gemini-3.1-pro
@gemini-3.1-flash-tts
Google's lightest and most cost-efficient Gemini model for high-throughput tasks.
@gemini-3.1-flash-lite
Gemini 3 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.
@gemini-3-flash
Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.
@gemini-2.5-pro
Google's lightest and most cost-efficient Gemini 2.5 model for high-throughput tasks.
@gemini-2.5-flash-lite
Google's fast multimodal Gemini 2.5 model with strong reasoning and a 1M token context window.
@gemini-2.5-flash
xAI
xAI's Grok text-to-speech model. Generates high-fidelity spoken audio in 5 expressive voices (eve, ara, rex, sal, leo) with 20+ supported languages. Supports inline speech tags for laughter, whispers, and pauses.
@grok-tts
xAI
xAI's Grok speech-to-text model. Transcribes audio files into text across 25 languages with word-level timestamps, multichannel transcription, speaker diarization, and key-term biasing.
@grok-stt
xAI
xAI's next-generation video generation model. Generates, edits, and extends videos from text and image inputs. Supports multiple aspect ratios and resolutions with improved quality over the previous generation.
@grok-imagine-video-1.5-preview
xAI
xAI's video generation model. Generates, edits, and extends videos from text and image inputs with native synchronized audio including dialogue, sound effects, and music. Supports multiple creative modes (normal, fun, custom).
@grok-imagine-video
xAI
xAI's higher-fidelity text-to-image model optimized for sharper details, more accurate compositions, and stronger text rendering. Supports image editing via reference images and masks. Trades speed for quality compared to grok-imagine-image. Default output at 2k resolution.
@grok-imagine-image-quality
xAI
xAI's Grok Imagine image model. Generates and edits images from text and reference-image inputs with configurable aspect ratio and resolution.
@grok-imagine-image
xAI
xAI's Grok 4.20 multi-agent model with a 2M-token context window. Multiple agents collaborate in parallel to perform deep research tasks, with function calling, structured outputs, and reasoning capabilities.
@grok-4.20-multi-agent-0309
xAI
xAI's Grok 4.20 reasoning model. Uses extended thinking to work through complex problems, returning a reasoning trace alongside the final answer.
@grok-4.20-0309-reasoning
xAI
xAI's Grok 4.20 non-reasoning model. Skips the thinking trace for fast, single-pass responses while keeping the same training as the reasoning variant.
@grok-4.20-0309-non-reasoning
xAI
xAI's Grok 4.7, a frontier reasoning model for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high, xhigh).
@grok-4.7
xAI
xAI's Grok 4.6, a flagship reasoning model for coding, agentic tasks, and visual work. Accepts text and image inputs, and supports function calling and structured outputs.
@grok-4.6
xAI
xAI's Grok 4.5, a frontier model built for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high).
@grok-4.5
xAI
xAI's Grok 4.3 model with a 1M-token context window and strong agentic tool calling with minimal hallucinations. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (none, low, medium, high).
@grok-4.3
Meta
Muse Wonder 1.0 is Meta's agentic and coding model for complex software engineering, multi-step tool loops, and long-context reasoning.
@muse-wonder-1.0
Meta
Meta's most capable open-weight model, built for agentic coding. Show it a screenshot, chart, or photo alongside your request and it reasons over both to write working code, call tools, and carry multi-step tasks across a 1M-token context.
@muse-spark-open
Meta
Muse Spark 1.3 is Meta's latest agentic and coding model, tuned for multi-step tool loops, browser tasks, software engineering, and long-horizon reasoning.
@muse-spark-1.3
Meta
Muse Spark 1.2 is Meta's agentic and coding model for multi-step tool loops, software engineering assistants, and long-context reasoning.
@muse-spark-1.2
Meta
Muse Spark 1.1 is Meta's agentic and coding model for multi-step tool loops, software engineering assistants, and long-context reasoning.
@muse-spark-1.1
Meta
Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation
@m2m100-1.2b
Meta
Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM – it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.
@llama-guard-3-8b
Meta
Meta's Llama 4 Scout is a 17 billion parameter model with 16 experts that is natively multimodal. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.
@llama-4-scout-17b-16e-instruct
Meta
Llama 3.3 70B quantized to fp8 precision, optimized to be faster.
@llama-3.3-70b-instruct-fp8-fast
Meta
The Llama 3.2-Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
@llama-3.2-11b-vision-instruct
Meta
The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.
@llama-3.2-3b-instruct
Meta
The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.
@llama-3.2-1b-instruct
Meta
Llama 3.1 8B quantized to FP8 precision
@llama-3.1-8b-instruct-fp8
DeepSeek
ddeepseekText Generation DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek, served via Fireworks infrastructure for production-grade inference.
@deepseek-v4-pro
Moonshot AI (Kimi)
Kimi K3 is Moonshot's flagship 2.8 trillion-parameter model, built on Kimi Delta Attention (a hybrid linear attention mechanism) with Attention Residuals. It offers native visual understanding, always-on reasoning, and a 1M-token context window for long-horizon coding, knowledge work, and deep reasoning tasks.
@kimi-k3
Moonshot AI (Kimi)
Kimi K2.6 is a frontier-scale open-source 1T parameter model with a 262.1k context window, multi-turn tool calling, vision inputs, and structured outputs for agentic workloads.
@kimi-k2.6
Mistral AI
Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.
@mistral-small-3.1-24b-instruct
Qwen
QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.
@qwq-32b
Qwen
Qwen 3.8 27B is a 27-billion-parameter instruction-tuned language model from Alibaba's Qwen family, designed for vision, efficient general-purpose text generation and agentic workloads.
@qwen3.8-27b
Qwen
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks.
@qwen3-embedding-0.6b
Qwen
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support.
@qwen3-30b-a3b-fp8
Qwen
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:
@qwen2.5-coder-32b-instruct
Z.ai (GLM)
The first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks.
@glm-5.3-flash
Z.ai (GLM)
GLM-5.3 is Z.ai's flagship agentic coding model, pairing a 1M-token context window with reasoning, function calling, and structured outputs to power multi-step, tool-driven development workflows.
@glm-5.3
Z.ai (GLM)
Z.ai's flagship agentic coding model
@glm-5.2
Z.ai (GLM)
GLM-4.7-Flash is a fast and efficient multilingual text generation model with a 131,072 token context window. Optimized for dialogue, instruction-following, and multi-turn tool calling across 100+ languages.
@glm-4.7-flash
Black Forest Labs
FLUX.2 [pro] Preview is Black Forest Labs' recommended default for production image generation and editing — tracks the latest [pro] weights with strong multi-reference support.
@flux-2-pro-preview
Black Forest Labs
FLUX.2 [max] is Black Forest Labs' highest-quality image model — top editing consistency, strongest prompt following, and grounding search for visualizations of real-time information.
@flux-2-max
Black Forest Labs
FLUX.2 [flex] is Black Forest Labs' fine-grained control variant of FLUX.2 — exposes tunable inference steps, guidance, and prompt upsampling for typography-heavy and production workflows.
@flux-2-flex
Black Forest Labs
FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
@flux-1-schnell
Black Forest Labs
FLUX.1 Kontext [pro] creates and edits images from text prompts with strong character and style consistency.
@flux-1-kontext-pro
Black Forest Labs
FLUX.1 Kontext [max] is Black Forest Labs' highest-quality Kontext model for text-to-image generation and context-aware image editing.
@flux-1-kontext-max
Recraft
Generate production-ready SVG vector graphics from text prompts with clean geometry, structured layers, and editable paths.
@recraftv4-vector
Recraft
Generate detailed, production-ready SVG vector graphics from text prompts with fine geometry, scalable to any size for print and design work.
@recraftv4-pro-vector
Recraft
Recraft V4 Pro generates high-resolution, art-directed images at 2048px+ with strong composition, text rendering, and design taste. Built for print and production work.
@recraftv4-pro
Recraft
Generate production-ready SVG vector graphics from text prompts with high aesthetic quality, clean geometry, structured layers, and editable paths.
@recraftv4-1-vector
Recraft
Generate production-ready SVG vector graphics from text prompts with a general-purpose model suited for a wide range of design and illustration tasks.
@recraftv4-1-utility-vector
Recraft
Generate detailed, high-resolution SVG vector graphics from text prompts with a general-purpose model, scalable to any size for print and large-scale design work.
@recraftv4-1-utility-pro-vector
Recraft
Recraft V4.1 Utility Pro is a general-purpose text-to-image model producing high-resolution 2048px+ output for a wide range of production and print use cases.
@recraftv4-1-utility-pro
Recraft
Recraft V4.1 Utility is a general-purpose text-to-image model balancing quality and flexibility for a wide range of everyday use cases at standard resolution.
@recraftv4-1-utility
Recraft
Generate detailed, high-resolution SVG vector graphics from text prompts with high aesthetic quality, fine geometry, scalable to any size for print and design work.
@recraftv4-1-pro-vector
Recraft
Recraft V4.1 Pro generates high-resolution, art-directed images at 2048px+ tuned for high aesthetics, with strong composition, text rendering, and refined design taste. Built for print and production work.
@recraftv4-1-pro
Recraft
Recraft V4.1 Flash is Recraft's fastest and lowest-cost image model, generating a 1K raster image in about 1.3 seconds with quality close to Recraft V4.1. Built for high-volume generation and rapid iteration, with strong results for photography, portraits, atmospheric scenes, mixed media, and logo concepts. It outputs raster images only and does not support styles.
@recraftv4-1-flash
Recraft
Recraft V4.1 generates art-directed images tuned for high aesthetics, with strong composition, accurate text rendering, and refined design taste. Fast and cost-efficient at standard resolution.
@recraftv4-1
Recraft
Recraft V4 generates art-directed images with strong composition, accurate text rendering, and design taste built in. Fast and cost-efficient at standard resolution.
@recraftv4
Recraft
Recraft V3 is the previous-generation text-to-image model from Recraft, well-suited to design-quality compositions, brand-aware imagery, and accurate text rendering.
@recraftv3
Runway
RunwayML's video generation model supporting both text-to-video and image-to-video with customizable duration, aspect ratio, and content moderation controls.
@gen-4.5
Runway
RunwayML's video editing model. Edit one frame to update your whole video, make changes across multiple shots, and work with up to 30 seconds of video. Supports keyframe-guided editing for precise control over specific moments in the clip.
@aleph-2
Duke shfaqur 120 të parat. Përsos kërkimin tënd për të parë më shumë.
E vetmja gjë midis teje dhe klientit tënd të parë është një fjali dhe pak minuta.
20 kredite AI falas për të filluar · Anulo kur të duash
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