Live technical benchmark comparing token limits, input/output API pricing, and modalities.
anthropic/claude-sonnet-5
meta-llama/llama-4-maverick
The primary differentiator in developer workflow design is context retention capacity. Anthropic: Claude Sonnet 5 offers a context window of 1,000,000 tokens, while Meta: Llama 4 Maverick supports up to 1,048,576 tokens.
This gives Meta: Llama 4 Maverick a substantial advantage of 1x larger prompt processing capacity, making it the ideal choice for loading massive codebases, long runbooks, or extensive research data.
Evaluating pricing metrics is critical for running high-frequency background cron workflows.For input queries, Anthropic: Claude Sonnet 5 costs $2.00 per 1M tokens, compared to $0.15 per 1M tokens for Meta: Llama 4 Maverick.
Meta: Llama 4 Maverick is the more cost-effective choice for input prompts, yielding savings of 93% compared to Anthropic: Claude Sonnet 5. Similarly, output generations are cheaper on Meta: Llama 4 Maverick ($0.60 vs $10.00), representing a savings of 94% on completion tokens.
Meta: Llama 4 Maverick is better for large document parsing due to its larger context capacity of 1,048,576 tokens, enabling it to fit approximately 1x more content than Anthropic: Claude Sonnet 5 in a single prompt.
Meta: Llama 4 Maverick is more budget-friendly for prompt inputs, costing $0.15 per million tokens (a saving of 93%). For output completion tokens, Meta: Llama 4 Maverick is more cost-effective ($0.60 per 1M tokens).
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