AI Models Database

Latest Grok model with 2M context window and fastest output speed of any tracked model (265 tok/s). Available in reasoning and non-reasoning variants.

Latest GPT flagship model with 1M context window. Extended thinking, multimodal input, and document editing capabilities. Outperforms GPT-5.3 Codex on all benchmarks.

Dense hybrid Qwen 3.5 model with strong reasoning and multimodal capabilities. Best quality-to-size ratio in the family for single-GPU deployment.

Latest Gemini Pro model with thinking capabilities, function calling, code execution, and search grounding. Supersedes Gemini 3 Pro.

Flagship Qwen model with 397B total parameters (17B active via MoE). Hybrid architecture with Gated Delta Networks and 512 experts. Supports 201 languages and thinking/non-thinking modes.

Most intelligent Claude model. Extended thinking with adaptive reasoning. Excels at complex analysis, nuanced content generation, advanced coding, and agentic tasks.

Z.ai flagship open-source MoE model with 358B parameters, 200K context window, and 128K output. Excels at multilingual tasks, coding, and reasoning.

Allen AI OLMo 3 32B - large scale fully open model. Complete transparency with training data, code, and intermediate checkpoints.

DeepSeek V3.2 with 685B total parameters (37B active). Features Multi-Token Prediction and Sparse Attention for efficiency.

Arcee Trinity Mini with 26B total parameters but only 3B active (128 experts). Extremely efficient MoE architecture.

IBM Granite 4.0 32B flagship model. Hybrid Mamba-Transformer for efficient long-context processing.

DeepSeek Sparse Attention architecture

Compact reasoning model for efficient multi-step problem solving.

Frontier-class multimodal model. Performs at or above 90% of Claude Sonnet 3.7. Vision capable with strong reasoning.

Cutting-edge coding model with fill-in-the-middle (FIM) capability. Optimized for code generation, completion, and refactoring.

Chain-of-thought reasoning variant of Phi-4 Mini (3.8B). SFT on OpenAI o3-mini demonstrations + RL. 128K context makes it ideal for RAG. Best reasoning at sub-4B scale.

17B active params, 400B total, multimodal

Efficient MoE multimodal model with industry-leading 10M token context window. 109B total / 17B active parameters across 16 experts. Native text + image understanding. Trained on 40T tokens in 12 languages.

Largest Gemma 3 model with multimodal vision capabilities. 128K context, 140+ languages. QAT variants available for 3x smaller footprint.

Mistral Small 3 with 24B parameters. Supports vision, function calling, and 32K context. Apache 2.0 licensed.

Efficient coding model for development workflows. Cost-effective option for code generation and assistance.

Efficient local coding model. Optimized for code generation, completion, and development assistance.

Mid-sized 14B parameter model with text and vision. Strong performance for diverse tasks while remaining efficient.

Efficient 8B model with vision support. Good balance for local deployment with moderate resources.

Frontier multimodal vision model. Excellent for complex image understanding, document analysis, and visual reasoning.

01.AI coding model with 128K context

Fine-tuned Llama 3 without alignment restrictions

Mistral dedicated coding model, supports fill-in-the-middle

Cohere flagship for complex enterprise tasks

Cohere enterprise model optimized for RAG workflows

Tiny but capable vision model

BigCode latest coding model with improved performance

Larger LLaVA with improved visual reasoning

Defog SQL generation model, beats GPT-4 on SQL

Mixture of Experts model with 8 experts, uses 12B active params

Microsoft Orca with improved reasoning capabilities

Intel optimized chat model

Intelligent routing to best model for task

Mixtral on Groq LPU hardware

Chain-of-thought search model

Amazon proprietary model for AWS users