Live technical benchmark comparing token limits, input/output API pricing, and modalities.
openai/gpt-5.6-terra
anthropic/claude-fable-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 Anthropic: Claude Fable 5 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 $10.00 per 1M tokens for Anthropic: Claude Fable 5.
OpenAI: GPT-5.6 Terra is the more cost-effective choice for input prompts, yielding savings of 75% compared to Anthropic: Claude Fable 5. Similarly, output generations are cheaper on OpenAI: GPT-5.6 Terra ($15.00 vs $50.00), representing a savings of 70% 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 Anthropic: Claude Fable 5 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 75%). For output completion tokens, OpenAI: GPT-5.6 Terra is more cost-effective ($15.00 per 1M tokens).
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