Live technical benchmark comparing token limits, input/output API pricing, and modalities.
openai/gpt-5.6-terra
meta/muse-spark-1.1
The primary differentiator in developer workflow design is context retention capacity. OpenAI: GPT-5.6 Terra offers a context window of 1,050,000 tokens, while Muse Spark 1.1 supports up to 1,000,000 tokens.
This gives OpenAI: GPT-5.6 Terra 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, OpenAI: GPT-5.6 Terra costs $2.50 per 1M tokens, compared to $0.50 per 1M tokens for Muse Spark 1.1.
Muse Spark 1.1 is the more cost-effective choice for input prompts, yielding savings of 80% compared to OpenAI: GPT-5.6 Terra. Similarly, output generations are cheaper on Muse Spark 1.1 ($2.00 vs $15.00), representing a savings of 87% on completion tokens.
OpenAI: GPT-5.6 Terra 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 Muse Spark 1.1 in a single prompt.
Muse Spark 1.1 is more budget-friendly for prompt inputs, costing $0.50 per million tokens (a saving of 80%). For output completion tokens, Muse Spark 1.1 is more cost-effective ($2.00 per 1M tokens).
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