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Claude Fable 5 vs GPT-5.5

Side-by-side comparison of pricing, context window, modalities, licensing, and strengths — with practical guidance on which model fits which workload.

SpecClaude Fable 5GPT-5.5
ProviderAnthropicOpenAI
Context window1M tokens1M tokens
Input price (per 1M tokens)$10.00$5.00
Output price (per 1M tokens)$50.00$30.00
Example workload (10M in + 2M out)$200.00 / month$110.00 / month
Modalitiestext, image, codetext, image, audio, code
Knowledge cutoffJan 2026Not disclosed
Release date20262026
LicenseProprietaryProprietary
StrengthsDeepest reasoning, Long-horizon agents, Writing, 1M contextFlagship reasoning, Agentic tool use, Multimodal, Coding
Open weights No No

Verdict

The premium-tier showdown. Claude Fable 5 sits above Anthropic’s own Opus line at $10/$50 per million tokens, built for the hardest reasoning and long-horizon agentic work — with always-on adaptive thinking and single requests that can run many minutes on hard tasks. GPT-5.5 is cheaper at $5/$30 and more versatile (audio in, huge ecosystem), but Fable 5 targets the depth ceiling: multi-hour autonomous runs, first-shot implementations of well-specified systems, and end-to-end knowledge-work deliverables.

When to choose Claude Fable 5

Pick Claude Fable 5 when correctness on the hardest problems justifies premium pricing — deep research, complex system builds, long autonomous runs.

When to choose GPT-5.5

Pick GPT-5.5 for versatile flagship work at half the output price, audio modality, and lower-latency interactive use.

Prices and specs reflect published provider information and change frequently — always confirm on the provider's pricing page before committing to a workload.

Frequently asked questions

Which is cheaper: Claude Fable 5 or GPT-5.5?

GPT-5.5 is cheaper per token: $5.00 input / $30.00 output per 1M tokens, versus $10.00 / $50.00 for Claude Fable 5. Actual costs depend on your input-to-output ratio — try the AI cost calculator for your own numbers.

Which has the larger context window?

GPT-5.5 supports 1M tokens versus 1M for Claude Fable 5 — roughly 1.1× more room for documents, code, and conversation history.

Can I self-host either model?

No — both models are proprietary and available only through their providers' APIs or cloud platforms.

How should I test which model is better for my use case?

Benchmarks are a starting point, not an answer. Run both models on 20–50 examples of your real task and compare outputs blind. Use our token counter to estimate prompt sizes and the cost calculator to project monthly spend before committing.