AI Models

470 models Free & Paid 업데이트: 6 hours trước

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

~에 의해 |Nov 2025 |200K context |$5.00/M input |$25.00/M output
200K tokens ⓘ

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

~에 의해 |Nov 2025 |200K context |$2.50/M input |$12.50/M output
200K tokens ⓘ

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 찬성. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

~에 의해 |Nov 2025 |66K context |$2.00/M input |$12.00/M output
66K tokens ⓘ

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

~에 의해 |Nov 2025 |400K context |$0.6250/M input |$5.00/M output
400K tokens ⓘ

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

~에 의해 |Nov 2025 |400K context |$1.25/M input |$10.00/M output
400K tokens ⓘ

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

~에 의해 |Nov 2025 |400K context |$1.25/M input |$10.00/M output
400K tokens ⓘ

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

~에 의해 |Nov 2025 |400K context |$0.2500/M input |$2.00/M output
400K tokens ⓘ

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...

~에 의해 |Nov 2025 |262K context |$0.6000/M input |$2.50/M output
262K tokens ⓘ

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

~에 의해 |Oct 2025 |1M context |$2.50/M input |$12.50/M output
1M tokens ⓘ

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...

~에 의해 |Oct 2025 |200K context |$3.00/M input |$15.00/M output
200K tokens ⓘ

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...

~에 의해 |Oct 2025 |33K context |$0.1000/M input |$0.3000/M output

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...

~에 의해 |Oct 2025 |131K context |$0.0750/M input |$0.3000/M output
131K tokens ⓘ

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

~에 의해 |Oct 2025 |205K context |$0.2550/M input |$1.02/M output
205K tokens ⓘ

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...

~에 의해 |Oct 2025 |131K context |$0.0170/M input |$0.1120/M output
131K tokens ⓘ

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...

~에 의해 |Oct 2025 |400K context |$2.50/M input |$2.00/M output
400K tokens ⓘ

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

~에 의해 |Oct 2025 |200K context |$1.00/M input |$5.00/M output
200K tokens ⓘ

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

~에 의해 |Oct 2025 |200K context |$0.5000/M input |$2.50/M output
200K tokens ⓘ

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...

~에 의해 |Oct 2025 |262K context |$0.2500/M input |$0.7500/M output
262K tokens ⓘ

[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...

~에 의해 |Oct 2025 |400K context |$10.00/M input |$10.00/M output
400K tokens ⓘ

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...

~에 의해 |Oct 2025 |33K context |$0.3000/M input |$2.50/M output

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

~에 의해 |Oct 2025 |262K context |$0.2900/M input |$1.00/M output
262K tokens ⓘ

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...

~에 의해 |Oct 2025 |262K context |$0.1500/M input |$0.6000/M output
262K tokens ⓘ

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

~에 의해 |Oct 2025 |400K context |$15.00/M input |$120.00/M output
400K tokens ⓘ

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

~에 의해 |Oct 2025 |400K context |$7.50/M input |$60.00/M output
400K tokens ⓘ

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

~에 의해 |9월 2025 |205K context |$0.5000/M input |$2.00/M output
205K tokens ⓘ

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

~에 의해 |9월 2025 |1M context |$3.00/M input |$15.00/M output
1M tokens ⓘ

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

~에 의해 |9월 2025 |1M context |$1.50/M input |$7.50/M output
1M tokens ⓘ

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

~에 의해 |9월 2025 |164K context |$0.2700/M input |$0.4100/M output
164K tokens ⓘ

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

~에 의해 |9월 2025 |131K context |$0.3000/M input |$0.5000/M output
131K tokens ⓘ

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...

~에 의해 |9월 2025 |256K context |$0.8500/M input |$1.25/M output
256K tokens ⓘ

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

~에 의해 |9월 2025 |262K context |$0.2100/M input |$1.90/M output
262K tokens ⓘ

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

~에 의해 |9월 2025 |164K context |$0.2700/M input |$1.00/M output
164K tokens ⓘ

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...

~에 의해 |9월 2025 |1M context |$0.1950/M input |$0.9750/M output
1M tokens ⓘ

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, 논리, and agentic...

~에 의해 |9월 2025 |262K context |$0.1500/M input |$1.20/M output
262K tokens ⓘ

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

~에 의해 |9월 2025 |262K context |$0.0900/M input |$1.10/M output
262K tokens ⓘ

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

~에 의해 |9월 2025 |262K context |$0.6000/M input |$2.50/M output
262K tokens ⓘ

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...

~에 의해 |8월 2025 |131K context |$1.00/M input |$3.00/M output
131K tokens ⓘ

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

~에 의해 |8월 2025 |164K context |$0.2500/M input |$0.9500/M output
164K tokens ⓘ

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

~에 의해 |8월 2025 |131K context |$0.4000/M input |$2.00/M output
131K tokens ⓘ

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

~에 의해 |8월 2025 |131K context |$0.2000/M input |$1.00/M output
131K tokens ⓘ

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

~에 의해 |8월 2025 |66K context |$0.6000/M input |$1.80/M output
66K tokens ⓘ

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

~에 의해 |8월 2025 |400K context |$0.6250/M input |$5.00/M output
400K tokens ⓘ

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

~에 의해 |8월 2025 |400K context |$1.25/M input |$10.00/M output
400K tokens ⓘ

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

~에 의해 |8월 2025 |400K context |$0.1250/M input |$1.00/M output
400K tokens ⓘ

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

~에 의해 |8월 2025 |400K context |$0.2500/M input |$2.00/M output
400K tokens ⓘ

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

~에 의해 |8월 2025 |400K context |$0.0500/M input |$0.4000/M output
400K tokens ⓘ

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

~에 의해 |8월 2025 |400K context |$0.0250/M input |$0.2000/M output
400K tokens ⓘ

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

~에 의해 |8월 2025 |131K context |$0.0296/M input |$0.1360/M output
131K tokens ⓘ

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

~에 의해 |8월 2025 |131K context |$0.1500/M input |$0.6000/M output
131K tokens ⓘ

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

~에 의해 |8월 2025 |131K context |$0.0240/M input |$0.1120/M output
131K tokens ⓘ