Live technical benchmark comparing token limits, input/output API pricing, and modalities.
meta-llama/llama-4-maverick
openai/gpt-5.6-sol
The primary differentiator in developer workflow design is context retention capacity. Meta: Llama 4 Maverick offers a context window of 1,048,576 tokens, while OpenAI: GPT-5.6 Sol supports up to 1,050,000 tokens.
This gives OpenAI: GPT-5.6 Sol 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, Meta: Llama 4 Maverick costs $0.15 per 1M tokens, compared to $5.00 per 1M tokens for OpenAI: GPT-5.6 Sol.
Meta: Llama 4 Maverick is the more cost-effective choice for input prompts, yielding savings of 97% compared to OpenAI: GPT-5.6 Sol. Similarly, output generations are cheaper on Meta: Llama 4 Maverick ($0.60 vs $30.00), representing a savings of 98% on completion tokens.
OpenAI: GPT-5.6 Sol is better for large document parsing due to its larger context capacity of 1,050,000 tokens, enabling it to fit approximately 1x more content than Meta: Llama 4 Maverick in a single prompt.
Meta: Llama 4 Maverick is more budget-friendly for prompt inputs, costing $0.15 per million tokens (a saving of 97%). For output completion tokens, Meta: Llama 4 Maverick is more cost-effective ($0.60 per 1M tokens).
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