Claude Sonnet 4.6 vs Llama 4 Maverick
Anthropic's premium model against Meta's open-source powerhouse. Llama 4 Maverick is 91% cheaper on input and 93% cheaper on output — with the same 1M context window.
Pricing data verified: 2026-06-20
| Specification | Claude Sonnet 4.6 (Anthropic) | Llama 4 Maverick (Meta) |
|---|---|---|
| Input Price (per 1M tokens) | $3.00 | $0.27 |
| Output Price (per 1M tokens) | $15.00 | $1.10 |
| Context Window | 1M | 1M |
| Tier | Mid | Budget |
| Provider | Anthropic | Meta |
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Other Models to Consider
Which Model for Which Use Case?
Cost-Sensitive Production
Llama 4 Maverick at $0.27/$1.10 is 91% cheaper on input than Sonnet 4.6. At scale, this can save thousands per month on API costs.
Complex Reasoning & Coding
Claude Sonnet 4.6 excels at complex reasoning, code generation, and nuanced instruction following. For tasks requiring precision, Sonnet's quality justifies the premium.
Self-Hosting / On-Premise
Llama 4 Maverick is fully open-weight and can be self-hosted via vLLM, TGI, or Ollama. For regulated industries or data sovereignty requirements, this is a major advantage.
Safety-Critical Applications
Claude Sonnet 4.6 has Anthropic's Constitutional AI safety training, making it more reliable for applications where harmful outputs must be minimized.
Comparing Anthropic vs Meta Models?
APIpulse Pro lets you compare all 42 models, find the cheapest option for your exact usage, and save scenarios for your team.
Frequently Asked Questions
Is Llama 4 Maverick cheaper than Claude Sonnet 4.6?
Yes. Llama 4 Maverick costs $0.27/M input and $1.10/M output — 91% cheaper on input and 93% cheaper on output than Claude Sonnet 4.6's $3.00/M input and $15.00/M output.
When would I choose Claude Sonnet 4.6 over Llama 4 Maverick?
Choose Claude Sonnet 4.6 if you need Anthropic's superior reasoning, coding, and safety capabilities. Sonnet 4.6 consistently outperforms on complex tasks like code generation, analysis, and nuanced instruction following.
Which model has a larger context window?
Both have 1M token context windows — equally capable of handling long documents and complex multi-turn conversations.