Meta Llama 4 API
Meta Llama 4 is Meta's latest generation of open-source large language models, featuring Mixture-of-Experts (MoE) architecture for efficiency, native multimodal support, and strong reasoning capabilities. Available to run self-hosted via Ollama/vLLM or via cloud providers (AWS Bedrock, Google Cloud, Together AI, Fireworks). No per-token API cost when self-hosted.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
⚡ Reliability
Best When
Privacy, cost at scale, or customization are the priority. Self-hosted inference on Llama 4 can be 10-50x cheaper than OpenAI at high volume.
Avoid When
You need highest-quality outputs on hard reasoning tasks, or don't have the infrastructure for self-hosted inference.
Use Cases
- • Self-hosted agents with no per-token costs — run inference locally or on own cloud
- • Privacy-sensitive deployments where data must not leave your infrastructure
- • High-volume agent workloads where per-token costs are prohibitive
- • Research and fine-tuning — open weights allow model customization
- • Embedding in products that need model capabilities without API dependencies
Not For
- • Teams without GPU infrastructure for self-hosting (cloud inference adds back per-token cost)
- • Applications requiring frontier reasoning (Llama 4 is competitive but not yet GPT-4o level on all tasks)
- • Quick prototyping where managed API convenience matters
Interface
Authentication
Authentication depends on deployment: self-hosted (no auth required), via cloud providers (provider's auth model), via Meta API (coming). Access to weights requires Meta license agreement.
Pricing
Open weights model. Self-hosting is free beyond compute. Commercial use allowed with Meta's commercial license.
Agent Metadata
Known Gotchas
- ⚠ Self-hosting requires significant GPU infrastructure — minimum A100 for 70B model
- ⚠ No official API endpoint from Meta — must use self-hosted serving or third-party cloud
- ⚠ Instruction following is strong but may differ from OpenAI/Claude fine-tuning
- ⚠ Weights download is large (70B model: ~140GB) — initial setup is time-consuming
- ⚠ No formal SLA — reliability depends on your infrastructure or chosen cloud provider
- ⚠ Function calling support varies by serving layer — not all serve Llama with tool calling
- ⚠ License requires attribution and has commercial use restrictions for large companies
Alternatives
Full Evaluation Report
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Package Brief
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Scores are editorial opinions as of 2026-03-10.