Meta Llama Llama Guard 4 12B, developed by Meta, features 12B parameters and 164k-token context window. 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 inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM—generating text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated. Llama Guard 4 was aligned to safeguard against the standardized MLCommons hazards taxonomy and designed to support multimodal Llama 4 capabilities. Specifically, it combines features from previous Llama Guard models, providing content moderation for English and multiple supported languages, along with enhanced capabilities to handle mixed text-and-image prompts, including multiple images. Additionally, Llama Guard 4 is integrated into the Llama Moderations API, extending robust safety classification to text and images. Available at $0.18/1M tokens.
Visit Meta: Llama Guard 4 12BAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Meta Llama Model Timeline
164k tokens context
1,049k tokens context
328k tokens context
131k tokens context
131k tokens context
131k tokens context
131k tokens context
131k tokens context
60k tokens context
131k tokens context
33k tokens context
16k tokens context
131k tokens context
10k tokens context
131k tokens context
8k tokens context
8k tokens context
8k tokens context
Specifications
AI Evaluation
A versatile multimodal model handling both text and visual inputs. Strong choice for applications requiring cross-modal understanding and analysis.
Pros
- Competitive pricing ($0.18/1M)
- 164k token context window
- Multi-modal input support
- Optimized for RAG workflows
Cons
- API integration required
- May need prompt tuning
Related Tools
FLUX
FLUX, from Black Forest Labs, is a family of high-quality open and commercial image generation models prized for photorealism and prompt adherence. Widely integrated across third-party tools and APIs, it has become a default backbone for image generation.
Claude Opus 4.8
Claude Opus 4.8 is Anthropic's June 2026 flagship model, succeeding Opus 4.7. It posts a headline score of 81 on the hardest agentic coding and reasoning suites, holds long-horizon tool-use plans together across far more steps, and is notably more candid about its own uncertainty - refusing to fabricate rather than confidently pressing on. It is the default choice for serious agentic and software-engineering workloads.
Anthropic Mythos 1
Mythos 1 is the full release of Anthropic's specialised, security-focused system, graduating from the guarded Claude Mythos Preview. Built around Project Glasswing, it pairs frontier reasoning with defensive security tooling - vulnerability analysis, triage and incident response - deployed with heavy oversight and auditability. It runs alongside the general-purpose Claude family rather than replacing it.
