Live technical benchmark comparing token limits, input/output API pricing, and modalities.
openai/gpt-5.6-terra
anthropic/claude-mythos-5
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 Claude Mythos 5 supports up to 2,000,000 tokens.
This gives Claude Mythos 5 a substantial advantage of 2x 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 $8.00 per 1M tokens for Claude Mythos 5.
OpenAI: GPT-5.6 Terra is the more cost-effective choice for input prompts, yielding savings of 69% compared to Claude Mythos 5. Similarly, output generations are cheaper on OpenAI: GPT-5.6 Terra ($15.00 vs $32.00), representing a savings of 53% on completion tokens.
Claude Mythos 5 is better for large document parsing due to its larger context capacity of 2,000,000 tokens, enabling it to fit approximately 2x more content than OpenAI: GPT-5.6 Terra in a single prompt.
OpenAI: GPT-5.6 Terra is more budget-friendly for prompt inputs, costing $2.50 per million tokens (a saving of 69%). For output completion tokens, OpenAI: GPT-5.6 Terra is more cost-effective ($15.00 per 1M tokens).
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