AI Models

419 models Free & Paid Update: 8 hours trước

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: {instruction} {initial_code} {edit_snippet}...

by |Jul 2025 |82K context |$0.8000/M input |$1.20/M output
82K tokens

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...

by |Jun 2025 |123K context |$0.4200/M input |$1.25/M output
123K tokens

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

by |Jun 2025 |256K context |$0.0938/M input |$0.2500/M output
256K tokens

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

by |Jun 2025 |1M context |$0.5500/M input |$2.20/M output
1M tokens

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

by |Jun 2025 |1M context |$0.3000/M input |$2.50/M output
1M tokens

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

by |Jun 2025 |1M context |$0.1500/M input |$1.25/M output
1M tokens

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by |Jun 2025 |1M context |$1.25/M input |$10.00/M output
1M tokens

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by |Jun 2025 |1M context |$0.6250/M input |$5.00/M output
1M tokens

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

by |Jun 2025 |200K context |$20.00/M input |$80.00/M output
200K tokens

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

by |Jun 2025 |200K context |$10.00/M input |$40.00/M output
200K tokens

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by |Jun 2025 |1M context |$1.25/M input |$10.00/M output
1M tokens

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) 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...

by |May 2025 |164K context |$0.5000/M input |$2.15/M output
164K tokens

Close Work 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

by |May 2025 |200K context |$15.00/M input |$75.00/M output
200K tokens

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...

by |May 2025 |1M context |$3.00/M input |$15.00/M output
1M tokens

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...

by |May 2025 |33K context |$0.0600/M input |$0.1200/M output

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...

by |May 2025 |131K context |$0.4000/M input |$2.00/M output
131K tokens

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by |May 2025 |1M context |$1.25/M input |$10.00/M output
1M tokens

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...

by |May 2025 |131K context |$0.7500/M input |$1.20/M output
131K tokens

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...

by |Apr 2025 |1M context |$0.1800/M input |$0.1800/M output
1M tokens

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

by |Apr 2025 |131K context |$0.1300/M input |$0.5200/M output
131K tokens

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

by |Apr 2025 |131K context |$0.1170/M input |$0.4550/M output
131K tokens

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

by |Apr 2025 |131K context |$0.1200/M input |$0.2400/M output
131K tokens

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

by |Apr 2025 |131K context |$0.0800/M input |$0.2800/M output
131K tokens

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...

by |Apr 2025 |131K context |$0.4550/M input |$1.82/M output
131K tokens

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...

by |Apr 2025 |200K context |$0.5500/M input |$2.20/M output
200K tokens

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...

by |Apr 2025 |200K context |$1.10/M input |$4.40/M output
200K tokens

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

by |Apr 2025 |200K context |$1.00/M input |$4.00/M output
200K tokens

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

by |Apr 2025 |200K context |$2.00/M input |$8.00/M output
200K tokens

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...

by |Apr 2025 |200K context |$0.5500/M input |$2.20/M output
200K tokens

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...

by |Apr 2025 |200K context |$1.10/M input |$4.40/M output
200K tokens

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...

by |Apr 2025 |1M context |$1.00/M input |$4.00/M output
1M tokens

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...

by |Apr 2025 |1M context |$2.00/M input |$8.00/M output
1M tokens

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...

by |Apr 2025 |1M context |$0.2000/M input |$0.8000/M output
1M tokens

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...

by |Apr 2025 |1M context |$0.4000/M input |$1.60/M output
1M tokens

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...

by |Apr 2025 |1M context |$0.0500/M input |$0.2000/M output
1M tokens

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...

by |Apr 2025 |1M context |$0.1000/M input |$0.4000/M output
1M tokens

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

by |Apr 2025 |1M context |$0.2000/M input |$0.8000/M output
1M tokens

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

by |Apr 2025 |1.3M context |$0.1000/M input |$0.3000/M output
1.3M tokens

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...

by |Mar 2025 |164K context |$0.2500/M input |$1.00/M output
164K tokens

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...

by |Mar 2025 |200K context |$150.00/M input |$600.00/M output
200K tokens

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...

by |Mar 2025 |200K context |$75.00/M input |$300.00/M output
200K tokens

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...

by |Mar 2025 |128K context |$0.3510/M input |$0.5550/M output
128K tokens

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, reasoning, and chat capabilities,...

by |Mar 2025 |131K context |$0.0500/M input |$0.1000/M output
131K tokens

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, reasoning, and chat capabilities,...

by |Mar 2025 |131K context |$0.0500/M input |$0.1500/M output
131K tokens

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...

by |Mar 2025 |256K context |$2.50/M input |$10.00/M output
256K tokens

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...

by |Mar 2025 |66K context |$0.1000/M input |$0.2000/M output
66K tokens

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, reasoning, and chat capabilities,...

by |Mar 2025 |262K context |$0.0800/M input |$0.4500/M output
262K tokens

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

by |Mar 2025 |33K context |$0.5500/M input |$0.8000/M output

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...

by |Mar 2025 |128K context |$2.00/M input |$8.00/M output
128K tokens

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...

by |Mar 2025 |200K context |$3.00/M input |$15.00/M output
200K tokens