Leaderboard

Highest measured cache capture

Median capture rate from the Zumik corpus: realized reused tokens over candidate reusable tokens. High capture means the savings actually land.

#ModelProviderCapture rateList blendedCache disc.
1Claude Fable 5Anthropic94%$20.00−90%
2Claude Opus 4.7Anthropic94%$10.00−90%
3Claude Opus 4.8Anthropic94%$10.00−90%
4Claude Sonnet 4.6Anthropic94%$6.00−90%
5Claude Haiku 4.5Anthropic91%$2.00−90%
6GPT-5.5OpenAI88%$11.25−90%
7Gemini 3.5 FlashGoogle86%$3.38−90%
8GPT-5 MiniOpenAI86%$0.69−90%
9GLM 5.1Fireworks83%$0.00−0%
10Gemini 3.1 Pro PreviewGoogle83%$4.50−90%
11Kimi K2.6Fireworks82%$1.71−83%
12DeepSeek-V4-ProFireworks81%$2.17−92%
13OpenAI gpt-oss-120bFireworks81%$0.26−90%
14GPT-5.5 ProOpenAI80%$67.50−0%
15Grok 4.3xAI78%$1.56−84%
Method

Median captureRatePct across eligible requests, with provider-reported evidence where available.

Rank models for your workload.

A diagnostic measures your real reuse and re-ranks the catalog for the way you actually call models.