Çdo model kryesor AI. Një platformë.

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

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 4.6

Anthropic

Claude Sonnet 4.6 is Anthropic's latest balanced model offering strong coding, reasoning, and agentic capabilities with improved instruction following.

Claude Sonnet 4.5

Anthropic

Claude Sonnet 4.5 is the best coding model to date, with significant improvements across the entire development lifecycle.

Claude Opus 5.5

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

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 4.8

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 4.7

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 4.6

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 4.5

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 Haiku 5.5

Anthropic

Claude Haiku 5.5 is a fast, cost-efficient model for high-volume, latency-sensitive tasks such as classification, extraction, routing, and subagent work.

Claude Haiku 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 Fable 5.1

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.

Whisper Large v3 Turbo

OpenAI

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.

Whisper

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.

TTS 1 Hd

OpenAI

OpenAI's high-definition text-to-speech model producing higher quality audio output.

TTS 1

OpenAI

OpenAI's text-to-speech model optimized for real-time use with low latency.

O4 Mini

OpenAI

OpenAI's fast, lightweight reasoning model optimized for multi-step problem solving at lower cost.

O3 Mini

OpenAI

o3-mini is the lightweight, low-cost reasoning variant of o3, well suited to quick analytical tasks at scale.

O3

OpenAI

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

GPT OSS 120b

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 20b

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 Image 2.5 Sunburst

OpenAI

OpenAI's most capable image generation and editing model. It accepts text and image inputs and produces images with low, medium, high, xhigh, max, and auto quality settings.

GPT Image 2.5 Flare

OpenAI

OpenAI's fastest high-quality everyday image generation model. It accepts text and image inputs and produces images with low, medium, high, xhigh, max, and auto quality settings.

GPT Image 2

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 1.5

OpenAI

OpenAI's image generation model that creates and edits images from text prompts, supporting multiple quality levels and output sizes.

GPT-6.1 Terra

OpenAI

GPT-6.1 Terra is OpenAI's fast, efficient model for visual reasoning, precise computer use, and clear, natural writing. Use it to match product photos to catalog entries, interpret technical drawings, act on application screens, or draft and revise text. Tool calling requires the Responses API.

GPT-6.1 Sol

OpenAI

GPT-6.1 Sol is OpenAI's newest Sol model, delivering near-Astra performance at a lower cost for complex coding, computer use, and professional work.

GPT-6 Sol

OpenAI

GPT-6 Sol is OpenAI's mid-tier GPT-6 model, built to power complex coding and agentic workflows.

GPT-6 Luna

OpenAI

GPT-6 Luna is OpenAI's most efficient GPT-6 model, built for focused, high-volume tasks.

GPT-6 Astra

OpenAI

GPT-6 Astra is OpenAI's most capable model, built for complex reasoning, coding, computer use, research, and document creation.

GPT-5.6 Terra

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 Sol

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 Luna

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-5.5 Pro

OpenAI

GPT-5.5 pro uses OpenAI's Responses API with built-in tools, improved reasoning, and stateful context management.

GPT-5.5

OpenAI

GPT-5.5 is OpenAI's flagship model with strong coding, reasoning, and multimodal capabilities.

GPT-5.4 Pro

OpenAI

GPT-5.4 pro uses OpenAI's Responses API with built-in tools, improved reasoning, and stateful context management.

GPT-5.4 Nano

OpenAI

GPT-5.4 nano is OpenAI's smallest and fastest model, optimized for edge and low-latency use cases.

GPT-5.4 Mini

OpenAI

GPT-5.4 mini is a smaller, faster, and more cost-efficient version of GPT-5.4 for lightweight tasks.

GPT-5.4

OpenAI

GPT-5.4 is OpenAI's flagship model with strong coding, reasoning, and multimodal capabilities.

GPT-5.1

OpenAI

GPT-5.1 is OpenAI’s incremental improvement over GPT-5, with stronger coding, reasoning, and writing.

GPT-5 Nano

OpenAI

GPT-5 Nano is OpenAI’s smallest GPT-5 variant, optimized for low latency and cheap, high-throughput tasks.

GPT-5 Mini

OpenAI

GPT-5 Mini is the lightweight, low-cost variant of GPT-5, well suited to high-volume coding and reasoning tasks.

GPT-5

OpenAI

OpenAI's model excelling at coding, writing, and reasoning.

GPT-4o Mini

OpenAI

GPT-4o Mini is the lightweight, low-cost variant of GPT-4o, well suited to high-volume tasks with multimodal inputs.

GPT-4o

OpenAI

GPT-4o is OpenAI’s multimodal flagship, accepting text and images and responding quickly across a wide range of tasks.

GPT-4.1 Nano

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 Mini

OpenAI

Fast, affordable version of GPT-4.1 with a million-token context window.

GPT-4.1

OpenAI

OpenAI's flagship GPT model for complex tasks with a million-token context window.

Veo 3.1 Fast

Google

A faster version of Veo 3.1 optimized for lower latency while maintaining high-quality video and audio output.

Veo 3.1

Google

Google's latest video generation model with improved quality, motion, and audio generation.

Nano Banana Pro

Google

Google's higher-quality image generation model with improved detail and prompt adherence.

Nano Banana 2.1

Google

Google's Nano Banana 2.1 image generation and editing model, optimized for a balance of quality and performance.

Nano Banana 2 Lite

Google

Google's fastest Gemini image generation model for rapid image creation and iteration.

Nano Banana 2

Google

Google's second-generation image generation model with improved quality and speed.

Nano Banana

Google

Google's fast image generation model producing high-quality images from text prompts.

Gemma 4 26b A4b IT

Google

Gemma 4 is Google's most intelligent family of open models, built from Gemini 3 research to maximize intelligence-per-parameter.

Gemini 4 Argon

Google

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 3.8 Flash TTS

Google

Gemini 3.8 Flash TTS is Google's flagship text-to-speech model for expressive, natural speech generation.

Gemini 3.8 Flash Lite TTS

Google

Gemini 3.8 Flash-Lite TTS is a fast, cost-efficient text-to-speech model optimized for high-throughput production workloads.

Gemini 3.8 Flash

Google

Our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.

Gemini 3.7 Flash

Google

Gemini 3.7 Flash is a highly capable, natively multimodal reasoning model optimized for agentic workflows and real-world tasks.

Gemini 3.6 Flash

Google

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 3.5 Flash Lite

Google

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

Google

Gemini 3.5 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.

Gemini 3.1 Pro

Google

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Gemini 3.1 Flash Lite

Google

Google's lightest and most cost-efficient Gemini model for high-throughput tasks.

Gemini 3 Flash

Google

Gemini 3 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.

Gemini 2.5 Pro

Google

Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.

Gemini 2.5 Flash Lite

Google

Google's lightest and most cost-efficient Gemini 2.5 model for high-throughput tasks.

Gemini 2.5 Flash

Google

Google's fast multimodal Gemini 2.5 model with strong reasoning and a 1M token context window.

Grok TTS

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 Stt

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 Imagine Video 1.5 Preview

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

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 Image Quality

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 2.0

xAI

xAI's Grok Imagine Image 2.0 is a precise image generation and editing model for creative work, with strong instruction following, typography, layout, and reference-image preservation.

Grok Imagine Image

xAI

xAI's Grok Imagine image model. Generates and edits images from text and reference-image inputs with configurable aspect ratio and resolution.

Grok 4.20 Multi Agent 0309

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 0309 Reasoning

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 Non 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 4.7

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 4.6

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 4.5

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 4.3

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).

Muse Wonder 1.0

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 Spark Open

Meta

Muse Spark Open is Meta's open-weights reasoning model for coding and agentic workflows. It supports native image understanding and function calling, and is served through Fireworks serverless inference.

Muse Spark 1.3

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 1.2

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 1.1

Meta

Muse Spark 1.1 is Meta's agentic and coding model for multi-step tool loops, software engineering assistants, and long-context reasoning.

M2M100 1.2b

Meta

Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation

Llama Guard 3 8b

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 4 Scout 17b 16e Instruct

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 3.3 70b Instruct FP8 Fast

Meta

Llama 3.3 70B quantized to fp8 precision, optimized to be faster.

Llama 3.2 11b Vision Instruct

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 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

The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

Llama 3.1 8b Instruct FP8

Meta

Llama 3.1 8B quantized to FP8 precision

Deepseek v4 Pro

DeepSeek

ddeepseekText Generation DeepSeek V4 Pro is a high-capability reasoning model from DeepSeek, served via Fireworks infrastructure for production-grade inference.

Kimi K3

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 K2.6

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.

Mistral Small 3.1 24b Instruct

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.

Qwq 32b

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.

Qwen3.8 27b

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 Embedding 0.6b

Qwen

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks.

Qwen3 30b A3b FP8

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.

Qwen2.5 Coder 32b Instruct

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:

GLM 5.3 Flash

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

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 5.2

Z.ai (GLM)

Z.ai's flagship agentic coding model

GLM 4.7 Flash

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.

Flux 3 Image Klein

Black Forest Labs

FLUX 3 Image Klein is Black Forest Labs' 5.6B-parameter image model for text-to-image, image editing, and multi-reference generation with up to 10 reference images. It supports native 4K output and bounding-box layout control.

Flux 2 Pro Preview

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 Max

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 Flex

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 1 Schnell

Black Forest Labs

FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.

Flux 1 Kontext Pro

Black Forest Labs

FLUX.1 Kontext [pro] creates and edits images from text prompts with strong character and style consistency.

Flux 1 Kontext Max

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.

Recraftv4 Vector

Recraft

Generate production-ready SVG vector graphics from text prompts with clean geometry, structured layers, and editable paths.