Llama 4 Maverick pricing: $0.2/1M input tokens, $0.6/1M output tokens, no cached token discount. Fastest inference with no cached token discount.
Llama 4 Maverick is Groq's budget-friendly model, best suited for ultra-fast inference on groq lpu. It costs $0.2 per 1M input tokens and $0.6 per 1M output tokens, with a 128K token context window. At typical usage (10K input tokens, 2K output tokens per call, 1,000 calls per day), Llama 4 Maverick costs approximately $96 per month. This model does not offer cached input pricing. For lower costs, GPT-4o Mini (OpenAI) offers input at $0.15/1M. For higher capability, Claude 3 Haiku (Anthropic) costs $0.25/1M input. At this price point, Llama 4 Maverick is ideal for high-volume production workloads: classification, extraction, summarization, and chatbots where cost per query matters more than peak intelligence. On a per-request basis, sending 1,000 input tokens to Llama 4 Maverick costs $0.0002, and generating 1,000 output tokens costs $0.0006. A typical chatbot exchange (500 tokens in, 300 tokens out) runs about $0.00028 per message. At scale, small per-request cost differences compound quickly — a model that costs 2x more per token costs 2x more at any volume. All pricing shown here is sourced from Groq's official pricing page and verified regularly. LLM providers may change pricing without notice. Always confirm current rates on the provider's website before making purchasing decisions. The cost calculator on this page lets you estimate monthly spending based on your actual token usage and call volume. Groq applies standard rate limits to Llama 4 Maverick API keys. Check the provider dashboard for your current tier and request higher limits if needed. To get started, create an API key from the Groq developer console, install the provider's SDK (groq npm package), and make your first API call with a small prompt to verify connectivity and measure actual latency. Most providers offer a free tier or credits for new accounts — use these to benchmark Llama 4 Maverick against your specific workload before committing to a paid plan.
Llama 4 Maverick costs $0.2 per 1M input tokens and $0.6 per 1M output tokens.
Llama 4 Maverick is one of the more affordable LLM APIs at $0.2/1M input tokens. It competes with other budget models for high-volume workloads.
Llama 4 Maverick supports a context window of 128K tokens. This determines how much text you can send in a single API call — including system prompts, conversation history, and the actual query.
Three strategies: (1) Enable prompt caching if your provider supports it — savings of up to 90% on repeated input. (2) Route simple queries to cheaper models. (3) Reduce output tokens with concise instructions.
A typical request with 500 input tokens and 300 output tokens costs approximately $0.00028. The exact cost depends on your prompt length and desired response length. Use the cost calculator above to estimate for your specific usage pattern.