AI Models

470 models Free & Paid 업데이트: 5 hours trước

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

~에 의해 |9월 2026 |1.1M context |$0.1400/M input |$0.2800/M output
1.1M tokens ⓘ

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...

~에 의해 |9월 2026 |1.1M context |$0.4350/M input |$0.8700/M output
1.1M tokens ⓘ

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...

~에 의해 |9월 2026 |500K context |$2.00/M input |$6.00/M output
500K tokens ⓘ

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

~에 의해 |9월 2026 |1M context |$0.1500/M input |$0.4700/M output
1M tokens ⓘ

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...

~에 의해 |9월 2026 |262K context |$0.0750/M input |$0.5000/M output
262K tokens ⓘ

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...

~에 의해 |9월 2026 |1M context |$0.3700/M input |$1.25/M output
1M tokens ⓘ

This model always redirects to the latest model in the DeepSeek Pro family.

~에 의해 |9월 2026 |1M context |$0.1200/M input |$8.00/M output
1M tokens ⓘ

This model always redirects to the latest model in the DeepSeek Flash family.

~에 의해 |9월 2026 |1M context |$0.0800/M input |$0.5000/M output
1M tokens ⓘ

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

~에 의해 |9월 2026 |128K context |$0.0300/M input |$0.1500/M output
128K tokens ⓘ

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...

~에 의해 |9월 2026 |128K context |$0.0500/M input |$0.2300/M output
128K tokens ⓘ

This model always redirects to the latest model in the GPT Astra family.

~에 의해 |9월 2026 |1.1M context |$10.00/M input |$50.00/M output
1.1M tokens ⓘ

This model always redirects to the latest model in the GPT Sol family.

~에 의해 |9월 2026 |1.1M context |$2.00/M input |$10.00/M output
1.1M tokens ⓘ

This model always redirects to the latest model in the GPT Terra family.

~에 의해 |9월 2026 |1.1M context |$2.00/M input |$12.00/M output
1.1M tokens ⓘ

This model always redirects to the latest model in the GPT Luna family.

~에 의해 |9월 2026 |1.1M context |$0.1000/M input |$0.5000/M output
1.1M tokens ⓘ

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...

~에 의해 |9월 2026 |1M context |$5.00/M input |$30.00/M output
1M tokens ⓘ

Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

~에 의해 |9월 2026 |1M context |$2.00/M input |$6.00/M output
1M tokens ⓘ

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

~에 의해 |9월 2026 |131K context |$0.0600/M input |$0.1800/M output
131K tokens ⓘ

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

~에 의해 |9월 2026 |1M context |$0.1500/M input |$0.6000/M output
1M tokens ⓘ

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

~에 의해 |9월 2026 |1M context |$0.0500/M input |$0.1500/M output
1M tokens ⓘ

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

~에 의해 |9월 2026 |260K context |$0.0400/M input |$0.1500/M output
260K tokens ⓘ

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

~에 의해 |9월 2026 |262K context |$0.0250/M input |$0.1000/M output
262K tokens ⓘ

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

~에 의해 |9월 2026 |262K context |$0.0750/M input |$0.2500/M output
262K tokens ⓘ

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

~에 의해 |9월 2026 |1.1M context |$5.00/M input |$25.00/M output
1.1M tokens ⓘ

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

~에 의해 |9월 2026 |1.1M context |$10.00/M input |$50.00/M output
1.1M tokens ⓘ

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

~에 의해 |9월 2026 |1.1M context |$10.00/M input |$50.00/M output
1.1M tokens ⓘ

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

~에 의해 |9월 2026 |1.1M context |$5.00/M input |$25.00/M output
1.1M tokens ⓘ

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

~에 의해 |9월 2026 |1M context |$2.00/M input |$6.00/M output
1M tokens ⓘ

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

~에 의해 |9월 2026 |1M context |$0.1000/M input |$0.2000/M output
1M tokens ⓘ

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

~에 의해 |9월 2026 |1M context |$1.25/M input |$4.25/M output
1M tokens ⓘ

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

~에 의해 |9월 2026 |1M context |$0.8250/M input |$4.13/M output
1M tokens ⓘ

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

~에 의해 |9월 2026 |1M context |$0.3750/M input |$1.88/M output
1M tokens ⓘ

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

~에 의해 |9월 2026 |1M context |$10.00/M input |$50.00/M output
1M tokens ⓘ

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

~에 의해 |9월 2026 |1M context |$5.00/M input |$25.00/M output
1M tokens ⓘ

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

~에 의해 |8월 2026 |131K context |$0.0600/M input |$0.2500/M output
131K tokens ⓘ

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...

~에 의해 |8월 2026 |1M context |$0.7506/M input |$2.25/M output
1M tokens ⓘ

This model always redirects to the latest model in the GLM Flash family.

~에 의해 |8월 2026 |1M context |$0.0600/M input |$1.60/M output
1M tokens ⓘ

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

~에 의해 |8월 2026 |1M context |$0.1500/M input |$0.4700/M output
1M tokens ⓘ

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

~에 의해 |8월 2026 |1M context |$0.0500/M input |$0.1800/M output
1M tokens ⓘ

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

~에 의해 |8월 2026 |1M context |$0.1500/M input |$0.5000/M output
1M tokens ⓘ

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

~에 의해 |8월 2026 |1M context |$0.1000/M input |$0.2000/M output
1M tokens ⓘ

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

~에 의해 |8월 2026 |1M context |$0.2156/M input |$0.6468/M output
1M tokens ⓘ

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...

~에 의해 |8월 2026 |8K context |$0.0440/M input |$0.1770/M output

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...

~에 의해 |8월 2026 |8K context |$0.0740/M input |$0.2950/M output

This model always redirects to the latest GLM model from Z.ai.

~에 의해 |8월 2026 |1M context |$0.0632/M input |$4.40/M output
1M tokens ⓘ

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

~에 의해 |8월 2026 |8K context |$0.0740/M input |$0.2950/M output

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

~에 의해 |8월 2026 |1M context |$0.4500/M input |$2.00/M output
1M tokens ⓘ

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

~에 의해 |8월 2026 |1M context |$0.0790/M input |$4.80/M output
1M tokens ⓘ

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

~에 의해 |8월 2026 |1M context |$0.2400/M input |$2.20/M output
1M tokens ⓘ

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...

~에 의해 |8월 2026 |512K context |Miễn phí input |Miễn phí output
512K tokens ⓘ

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

~에 의해 |8월 2026 |1M context |$0.7500/M input |$3.75/M output
1M tokens ⓘ