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Claude Fable 5 vs GPT-5.6 Sol pricing

Side-by-side LLM API pricing.GPT-5.6 Sol is cheaper on input ($4.00 vs $10.00 /1M), and GPT-5.6 Sol is cheaper on output ($20.00 vs $50.00 /1M). On a blended average, GPT-5.6 Sol is lower — but which wins for you depends on your input/output mix, so check the example workloads below or run the calculator.

AttributeClaude Fable 5GPT-5.6 Sol
ProviderAnthropicOpenAI
TierFlagshipFlagship
StatusGAGA
Context window1M1.05M
Input /1M$10.00$4.00
Output /1M$50.00$20.00
Cached input /1M$1.00$0.40
Batch input /1M$5.00$2.00
Batch output /1M$25.00$10.00
Blended (avg in+out)$30.00$12.00
1M in + 1M out$60.00$24.00
1M in (90% cached) + 100K out$6.90$2.76

List prices, USD, directional. Rates are provider list prices per 1M tokens and are meant for comparison, not billing. Batch rates shown as 50% off are derived where a provider offers batch but does not publish a separate figure. Preview, promo, intro, peak/off-peak, long-context, and third-party-host prices are labeled where they apply. Token counts vary by tokenizer, so per-token price is not always a like-for-like cost. Always confirm with the provider before relying on a number. Prices as of 2026-08-03.

Tokenizer caveat: Claude Fable 5 uses a tokenizer that produces more tokens per unit of text, so identical content is billed as a different number of tokens on each model. Per-token price is therefore not a like-for-like cost — compare cost per task, not just the sticker rate.

Which should you pick?

For a balanced job (1M input + 1M output), GPT-5.6 Sol costs $24.00 versus $60.00. If your prompts are large and reused, prompt caching changes the maths — the cache-heavy row above shows a 90%-cached input scenario. If your work can run asynchronously, both providers' batch rates cut the bill further where offered.

Full price matrices: Claude Fable 5 pricing → · GPT-5.6 Sol pricing → · Back to the LLM pricing hub →