Leaderboard

Cheapest models for cached agent workloads

Blended cost per million tokens assuming 55% of input is reused at the cache-read rate and a 25% output share — the shape of a real coding agent, not a list-price headline.

#ModelProviderReuse-adjusted blendedList blendedCache disc.
1OpenAI gpt-oss-120bFireworks$0.21$0.26−90%
2GPT-5 MiniOpenAI$0.59$0.69−90%
3Grok 4.3xAI$1.13$1.56−84%
4Kimi K2.6Fireworks$1.39$1.71−83%
5DeepSeek-V4-ProFireworks$1.52$2.17−92%
6Claude Haiku 4.5Anthropic$1.63$2.00−90%
7Gemini 3.5 FlashGoogle$2.82$3.38−90%
8Gemini 3.1 Pro PreviewGoogle$3.76$4.50−90%
9Claude Sonnet 4.6Anthropic$4.89$6.00−90%
10Claude Opus 4.7Anthropic$8.14$10.00−90%
11Claude Opus 4.8Anthropic$8.14$10.00−90%
12GPT-5.5OpenAI$9.39$11.25−90%
13Claude Fable 5Anthropic$16.29$20.00−90%
14GPT-5.5 ProOpenAI$67.50$67.50−0%
Method

reuseAdjustedBlended(model, reuse=0.55, outputShare=0.25). Input is split between list and cache-read price by the reuse ratio, then blended with output at the output share.

Rank models for your workload.

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