Liquid AI vs Anthropic
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $250M Series A at $2B valuation (Dec 2024) led by AMD. LFM2-24B (Feb 2026): 24B knowledge density, 2.3B active params. Runs on 32GB RAM laptop. Non-transformer architecture.
About
Liquid AI is an MIT-spinout developing Liquid Foundation Models (LFMs) — AI models based on liquid neural network architecture rather than the transformer architecture that underpins virtually all major AI systems. The company raised $250 million in Series A financing at a $2 billion valuation in December 2024, led by AMD, which has strategic motivation to support non-NVIDIA-optimized model architectures. In February 2026, Liquid released LFM2-24B-A2B — a model with 24 billion parameters' worth of knowledge density that runs on only 2.3 billion active parameters, enabling deployment on a standard 32GB RAM laptop.
Claude 4 family (claude-opus-4-6, claude-sonnet-4-6, claude-haiku-4-5) at $5B ARR (2025); $183B valuation (Series F, Sept 2025); $14.3B raised — Amazon $8B, Google $2B; Claude Code at $500M+ ARR; 300K+ business customers; Claude.ai 18M+ MAU; competing with OpenAI o3/GPT-4.5, Google Gemini 2.0, Meta Llama 4.
About
Anthropic is a San Francisco-based AI safety and research company that builds the Claude family of large language models. As of 2026, the current Claude 4 generation includes claude-opus-4-6 (most capable, reasoning and agentic tasks), claude-sonnet-4-6 (balanced performance and speed), and claude-haiku-4-5 (fast and cost-efficient). Anthropic also offers Claude Code — an agentic CLI for software engineering — generating $500M+ ARR by mid-2025.
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