2.0 is the new flagship series of Gemini. Wanting to continue offering a model at the price and speed of 1.5 Flash, Google has created 2.0 Flash-Lite. A quick but powerful model updated to one million tokens for 2.0.

The latest fast model from xAI. A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge.

Qwen2 VL 7B is a multimodal LLM from the Qwen Team with multimedia capabilities.

GLM-4.5 is Zhipu's latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a "thinking mode" designed for complex reasoning and tool use, and a "non-thinking mode" optimized for instant responses.

Popular with developers as a powerful workhorse model, optimal for high-volume, high-frequency tasks at scale and highly capable of multimodal reasoning across vast amounts of information with a context window of 1 million tokens. 2.0 is Google's new flagship series of Gemini.

Qwen2 VL 72B is a multimodal LLM from the Qwen Team with impressive multimedia and automations support.

Claude 3 Opus is a powerful model for highly complex tasks. Developed by Anthropic for top-level performance, intelligence, fluency, and understanding.

GLM-4.5-Air is the lightweight variant of Zhipu's latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction.

Claude 3 Haiku is a fast and compact model built by Anthropic for near-instant responsiveness. It's focus is on quick and accurate targeted performance.

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. Launching alongside the rest of the Llama 4 series, Llama 4 Scout is a 17 billion parameter model with 16 experts. Fast MoE with the equivalent of 109B parameters, and a greatly expanded context window.

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. Launching alongside the rest of the Llama 4 series, Llama 4 Maverick is a 17 billion parameter model with 128 experts. Massive MoE with the equivalent of 400B parameters, and a greatly expanded context window.

Claude 3 Sonnet has a balance of intelligence and speed. Anthropic's balanced and scalable model delivers strong utility.

Claude 3.5 Sonnet sets new industry benchmarks for graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). Excelling in grasping nuance, humor, and complex instructions, and writes high-quality content with a natural, relatable tone.

Grok 4 is xAI's latest reasoning model with a 256k context window. It supports parallel tool calling, structured outputs, and both image and text inputs. Note that reasoning is not exposed, reasoning cannot be disabled, and the reasoning effort cannot be specified. Pricing increases once the total tokens in a given request is greater than 128k tokens.

GPT-4.1 mini excels at instruction following and tool calling. It features a 1M token context window, and low latency without a reasoning step.

GPT-4.1 nano excels at instruction following and tool calling. It features a 1M token context window, and low latency without a reasoning step.

GPT-5 is OpenAI's flagship model for coding, reasoning, and agentic tasks across domains.

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GPT-5 mini is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts.

GPT-5 Nano is OpenAI's fastest, cheapest version of GPT-5. It's great for summarization and classification tasks.

GPT-4.1 excels at instruction following and tool calling, with broad knowledge across domains. It features a 1M token context window, and low latency without a reasoning step.

GPT-4o Mini is OpenAI's most advanced model in the small models category. It is multimodal (accepting text or image inputs and outputting text), and has higher intelligence than gpt-3.5-turbo but is just as fast. It is meant to be used for smaller tasks, including vision tasks.