HEAD-TO-HEAD · FLAGSHIP-TIER · VERIFIED SEPTEMBER 12, 2026
Claude Fable 5 vs GPT-5.5: Which flagship is actually cheaper?
Claude Fable 5 and GPT-5.5 both sit at the frontier of AI capability in late 2026, but their pricing structures diverge sharply. Fable 5 costs exactly double GPT-5.5 on both input and output tokens—$10 vs $5 input, $50 vs $30 output per million—making cost the clearest differentiator between these two flagship models.
| Spec | Claude Fable 5 | Gpt 5 5 |
|---|---|---|
| Input / 1M tokens | $10.00 | $5.00 |
| Output / 1M tokens | $50.00 | $30.00 |
| Context window | ~1M (likely; Anthropic has not publicly confirmed) | ~1M (estimated; OpenAI typical for flagship tier) |
The output price gap
The output token premium tells the real story. Fable 5 charges $50 per million output tokens compared to GPT-5.5's $30, a $20 gap that compounds quickly in content-generation, coding, and customer-facing workloads. For any application where the model writes more than it reads, that 67% output surcharge becomes the dominant cost driver. Input pricing follows the same 2:1 ratio—$10 vs $5 per million—but typical production use cases skew output-heavy, which magnifies GPT-5.5's cost advantage across realistic monthly volumes.
Context window
Both models operate at roughly 1 million token context windows, typical for flagship-tier releases in 2026, though neither vendor has published exact confirmed limits for these specific model IDs. Context length alone won't differentiate them in practice; most enterprise workflows stay well under 200K tokens per call. The pricing gap matters far more than any marginal context-window difference at this tier, especially since both handle long-context retrieval, multi-turn conversations, and document processing without hitting practical limits in typical production environments.
Worked example
At 100 million input tokens and 30 million output tokens per month, Claude Fable 5 costs $2,500 (100M × $10/M input = $1,000; 30M × $50/M output = $1,500; total $2,500). GPT-5.5 costs $1,400 at the same volume (100M × $5/M input = $500; 30M × $30/M output = $900; total $1,400). That's a $1,100 monthly difference, or 44% cheaper with GPT-5.5, entirely driven by the 2:1 pricing ratio that holds across both input and output tiers.
Prices from the LLM Price Watch daily tracker, September 12, 2026. Prices change; use the calculator with your own usage for an exact comparison, or see the full price table for every tracked model.