AI Modellar

OpenAI, Anthropic, Google va boshqa provayderlardan 300+ modelni bitta API orqali ishlatib ko'ring

memory 346 model

free_breakfast 30 bepul

business 58 provayder

apps Barchasi 346 psychology Reasoning 136 visibility Vision 98 chat Chat 97 code Code 14 circle models.category.moderation 1

Barchasi Openai · 64 Qwen · 49 Google · 30 Mistralai · 19 Anthropic · 18 Meta-llama · 13 Z-ai · 12 Deepseek · 12 Nvidia · 11 Minimax · 8 Moonshotai · 6 Cohere · 5 Nousresearch · 5 Perplexity · 5 Amazon · 5

Anthropic: Claude Opus Latest

~anthropic/claude-opus-latest

Vision

This model always redirects to the latest model in the Claude Opus family.

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Arcee AI: Coder Large

arcee-ai/coder-large

Code

Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...

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Arcee AI: Trinity Large Thinking

arcee-ai/trinity-large-thinking

Reasoning

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...

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Arcee AI: Trinity Mini

arcee-ai/trinity-mini

Reasoning

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...

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Arcee AI: Virtuoso Large

arcee-ai/virtuoso-large

Reasoning

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...

data_array 131K context

Baidu: ERNIE 4.5 VL 424B A47B

baidu/ernie-4.5-vl-424b-a47b

Vision

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...

data_array 131K context

ByteDance Seed: Seed 1.6

bytedance-seed/seed-1.6

Vision

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

data_array 262K context

ByteDance Seed: Seed 1.6 Flash

bytedance-seed/seed-1.6-flash

Vision

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...

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ByteDance Seed: Seed-2.0-Lite

bytedance-seed/seed-2.0-lite

Vision

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...

data_array 262K context

ByteDance Seed: Seed-2.0-Mini

bytedance-seed/seed-2.0-mini

Reasoning

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

data_array 262K context

ByteDance: UI-TARS 7B

bytedance/ui-tars-1.5-7b

Vision

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...

data_array 128K context

Cohere: Command A

cohere/command-a

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

data_array 256K context

Cohere: Command R (08-2024)

cohere/command-r-08-2024

Reasoning

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

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Cohere: Command R+ (08-2024)

cohere/command-r-plus-08-2024

command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...

data_array 128K context

Cohere: Command R7B (12-2024)

cohere/command-r7b-12-2024

Reasoning

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...

data_array 128K context

Cohere: North Mini Code (free)

cohere/north-mini-code:free

free_breakfast Free Code

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...

data_array 256K context

Deep Cogito: Cogito v2.1 671B

deepcogito/cogito-v2.1-671b

Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...

data_array 128K context

EssentialAI: Rnj 1 Instruct

essentialai/rnj-1-instruct

Reasoning

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance...

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Free Models Router

openrouter/free

free_breakfast Free Vision

The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...

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Google Gemini Flash Latest

~google/gemini-flash-latest

Vision

This model always redirects to the latest model in the Google Gemini Flash family.

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Google Gemini Pro Latest

~google/gemini-pro-latest

Vision

This model always redirects to the latest model in the Google Gemini Pro family.

data_array 1,049K context

IBM: Granite 4.0 Micro

ibm-granite/granite-4.0-h-micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...

data_array 131K context

IBM: Granite 4.1 8B

ibm-granite/granite-4.1-8b

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

data_array 131K context

Inception: Mercury 2

inception/mercury-2

Reasoning

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

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