Live technical benchmark comparing token limits, input/output API pricing, and modalities.
google/gemini-3.5-flash
meta-llama/llama-4-maverick
The primary differentiator in developer workflow design is context retention capacity. Google: Gemini 3.5 Flash offers a context window of 1,048,576 tokens, while Meta: Llama 4 Maverick supports up to 1,048,576 tokens.
Both models offer equivalent context window sizes, which means their fit is determined primarily by pricing structure and operational latency.
Evaluating pricing metrics is critical for running high-frequency background cron workflows.For input queries, Google: Gemini 3.5 Flash costs $1.50 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 90% compared to Google: Gemini 3.5 Flash. Similarly, output generations are cheaper on Meta: Llama 4 Maverick ($0.60 vs $9.00), representing a savings of 93% 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 Google: Gemini 3.5 Flash in a single prompt.
Meta: Llama 4 Maverick is more budget-friendly for prompt inputs, costing $0.15 per million tokens (a saving of 90%). For output completion tokens, Meta: Llama 4 Maverick is more cost-effective ($0.60 per 1M tokens).
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