AI Models

356 モデル Free & Paid Cập nhật: 16 hours trước

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

による |4月 2025 |200K コンテキスト |$1.10/M入力 |$4.40/M出力
200K トークン

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, 科学, コーディング, and visual reasoning tasks. It also excels at technical writing and instruction-following....

による |4月 2025 |200K コンテキスト |$2.00/M入力 |$8.00/M出力
200K トークン

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

による |4月 2025 |200K コンテキスト |$1.10/M入力 |$4.40/M出力
200K トークン

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

による |4月 2025 |1M コンテキスト |$2.00/M入力 |$8.00/M出力
1M トークン

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

による |4月 2025 |1M コンテキスト |$0.4000/M入力 |$1.60/M出力
1M トークン

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

による |4月 2025 |1M コンテキスト |$0.1000/M入力 |$0.4000/M出力
1M トークン

A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by PEFT library.

による |4月 2025 |4K コンテキスト |$0.8000/M入力 |$1.20/M出力

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (教育省) architecture with 128 experts and 17 billion active parameters per forward...

による |4月 2025 |1M コンテキスト |$0.1500/M入力 |$0.6000/M出力
1M トークン

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (教育省) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

による |4月 2025 |10M コンテキスト |$0.0800/M入力 |$0.3000/M出力
10M トークン

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

による |3月 2025 |164K コンテキスト |$0.2000/M入力 |$0.7700/M出力
164K トークン

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

による |3月 2025 |200K コンテキスト |$150.00/M入力 |$600.00/M出力
200K トークン

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...

による |3月 2025 |128K コンテキスト |$0.3510/M入力 |$0.5550/M出力
128K トークン

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, 推論, and chat capabilities,...

による |3月 2025 |131K コンテキスト |$0.0400/M入力 |$0.0800/M出力
131K トークン

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, 推論, and chat capabilities,...

による |3月 2025 |131K コンテキスト |$0.0400/M入力 |$0.1300/M出力
131K トークン

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...

による |3月 2025 |256K コンテキスト |$2.50/M入力 |$10.00/M出力
256K トークン

GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

による |3月 2025 |128K コンテキスト |$0.1500/M入力 |$0.6000/M出力
128K トークン

GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

による |3月 2025 |128K コンテキスト |$2.50/M入力 |$10.00/M出力
128K トークン

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...

による |3月 2025 |66K コンテキスト |$0.1000/M入力 |$0.2000/M出力
66K トークン

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, 推論, and chat capabilities,...

による |3月 2025 |131K コンテキスト |$0.0800/M入力 |$0.1600/M出力
131K トークン

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.

による |3月 2025 |33K コンテキスト |$0.5500/M入力 |$0.8000/M出力

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...

による |3月 2025 |128K コンテキスト |$2.00/M入力 |$8.00/M出力
128K トークン

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...

による |3月 2025 |200K コンテキスト |$3.00/M入力 |$15.00/M出力
200K トークン

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

による |3月 2025 |128K コンテキスト |$2.00/M入力 |$8.00/M出力
128K トークン

ジェミニ 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [ジェミニフラッシュ 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5),...

による |2月 2025 |1M コンテキスト |$0.0750/M入力 |$0.3000/M出力
1M トークン

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

による |2月 2025 |33K コンテキスト |$0.2000/M入力 |$0.6000/M出力

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)...

による |2月 2025 |131K コンテキスト |$0.4840/M入力 |$0.0300/M出力
131K トークン

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...

による |2月 2025 |200K コンテキスト |$1.10/M入力 |$4.40/M出力
200K トークン

ジェミニフラッシュ 2.0 offers a significantly faster time to first token (TTFT) compared to [ジェミニフラッシュ 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5). It...

による |2月 2025 |1M コンテキスト |$0.1000/M入力 |$0.4000/M出力
1M トークン

Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree...

による |2月 2025 |131K コンテキスト |$4.00/M入力 |$8.00/M出力
131K トークン

Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, コーディング, and logic. It is a modified variant...

による |2月 2025 |131K コンテキスト |$0.7000/M入力 |$1.40/M出力
131K トークン

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...

による |2月 2025 |33K コンテキスト |$0.8000/M入力 |$1.60/M出力

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

による |2月 2025 |131K コンテキスト |$0.2500/M入力 |$0.7500/M出力
131K トークン

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

による |2月 2025 |1M コンテキスト |$0.2600/M入力 |$0.7800/M出力
1M トークン

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

による |Jan 2025 |200K コンテキスト |$1.10/M入力 |$4.40/M出力
200K トークン

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 ライセンス, it features both pre-trained and instruction-tuned versions designed...

による |Jan 2025 |33K コンテキスト |$0.0500/M入力 |$0.0800/M出力

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new...

による |Jan 2025 |128K コンテキスト |$0.2900/M入力 |$0.2900/M出力
128K トークン

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...

による |Jan 2025 |127K コンテキスト |$1.00/M入力 |$1.00/M出力
127K トークン

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

による |Jan 2025 |131K コンテキスト |$0.7000/M入力 |$0.8000/M出力
131K トークン

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

による |Jan 2025 |164K コンテキスト |$0.7000/M入力 |$2.50/M出力
164K トークン

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

による |Jan 2025 |1M コンテキスト |$0.2000/M入力 |$1.10/M出力
1M トークン

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...

による |Jan 2025 |16K コンテキスト |$0.0650/M入力 |$0.1400/M出力

This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).

による |Jan 2025 |16K コンテキスト |$3.00/M入力 |$3.00/M出力

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

による |12月 2024 |164K コンテキスト |$0.3200/M入力 |$0.8900/M出力
164K トークン

Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).

による |12月 2024 |131K コンテキスト |$0.6500/M入力 |$0.7500/M出力
131K トークン

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

による |12月 2024 |200K コンテキスト |$15.00/M入力 |$60.00/M出力
200K トークン

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

による |12月 2024 |128K コンテキスト |$0.0375/M入力 |$0.1500/M出力
128K トークン

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

による |12月 2024 |131K コンテキスト |Miễn phí input |Miễn phí output
131K トークン

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

による |12月 2024 |131K コンテキスト |$0.1000/M入力 |$0.3200/M出力
131K トークン

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, ビデオ, and text inputs to generate text output. Amazon Nova Lite...

による |12月 2024 |300K コンテキスト |$0.0600/M入力 |$0.2400/M出力
300K トークン

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...

による |12月 2024 |128K コンテキスト |$0.0350/M入力 |$0.1400/M出力
128K トークン