Compare 300+ AI Models on Deepest

Deepest gives you access to over 300 large language models (LLMs) from every major AI provider — OpenAI, Anthropic, Google DeepMind, Meta, xAI, Mistral, Cohere, and more — through a single unified interface. Browse, filter, and run any model side by side to find the one that best fits your task.

AI Models by Provider

OpenAI models: GPT-4o (OpenAI's flagship multimodal model), GPT-4o mini (fast and cost-efficient), GPT-4 Turbo, o3 (reasoning model), o4-mini. OpenAI models excel at instruction following, coding, and broad general tasks.

Anthropic models: Claude 4 Opus (Anthropic's most capable model), Claude 3.5 Sonnet (balanced speed and capability), Claude 3.5 Haiku (fastest Claude model). Claude models are known for long-context handling, safety, and nuanced writing.

Google DeepMind models: Gemini 2.5 Ultra (Google's most capable multimodal model), Gemini 2.0 Flash (fast and efficient), Gemini 1.5 Pro (1M token context). Gemini models lead on multimodal tasks and extremely long contexts.

Meta models: Llama 4 Scout, Llama 4 Maverick, Llama 3.3 70B. Open-weight models with permissive licensing — suitable for self-hosting and research.

xAI models: Grok 3, Grok 3 Mini. Access to real-time X/Twitter data and a distinctive reasoning style.

Mistral models: Mistral Large, Mistral Small, Mixtral 8x7B, Codestral. European-built open-weight models with strong multilingual performance.

DeepSeek models: DeepSeek V3, DeepSeek R1. Frontier-level performance at significantly lower API cost than US equivalents.

Choosing the Right AI Model

The best AI model depends entirely on your task. For coding and debugging, Claude 3.5 Sonnet and GPT-4o lead. For creative writing and long-form content, Claude Opus produces the most nuanced output. For research tasks requiring large context windows, Gemini 2.5 Pro handles up to 1 million tokens natively. For the fastest responses in production applications, Gemini Flash and GPT-4o mini offer the best tokens-per-second rates.

Running your prompt across multiple models simultaneously — rather than choosing one upfront — is the most reliable way to get the best answer. When models agree, that convergence signals high confidence. When they disagree, the divergence reveals nuance worth investigating.

AI Model Pricing

Model pricing varies by an order of magnitude. Frontier models like GPT-4o and Claude Opus cost $5–$75 per million tokens. Mid-tier models like GPT-4o mini and Claude Haiku cost $0.10–$1.00 per million tokens. DeepSeek V3 offers near-frontier performance at $0.27 per million input tokens — the best value ratio on the market. Deepest credits reflect each model's underlying API cost so you only pay for what you use.

AI Model Benchmarks

Benchmark performance helps compare models objectively. On MMLU (general knowledge), GPT-5 scores 92.1, Claude 4 Opus 89.4, Gemini 2.5 Ultra 91.8, and DeepSeek V3 88.5. On HumanEval (coding), GPT-5 scores 95.3, Claude 3.5 Sonnet 93.7, and DeepSeek Coder leads specialized coding benchmarks. Benchmarks measure potential — real-world performance on your specific task is what matters most.