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ForgeCode - Worlds #1 Coding Agent on X: "This is why ForgeCode invests heavily in prompt caching. In one workspace over the last 7 days on Opus 4.7 - 407M: input tokens - 382.9M: cache-read tokens - 98.1%: cache read ratio - 22.9×: write amortization Amortization = tokens read back per token written to cache. So every 1 token cached was reused ~23 times. At public API pricing, that’s ~$2,035 without caching vs ~$333 with 5-minute caching. ~$1.7K saved in input-token cost alone."

@forgecodehq
ForgeCode - Worlds #1 Coding Agent
@forgecodehq
This is why ForgeCode invests heavily in prompt caching. In one workspace over the last 7 days on Opus 4.7 - 407M: input tokens - 382.9M: cache-read tokens - 98.1%: cache read ratio - 22.9×: write amortization Amortization = tokens read back per token written to cache. So every 1 token cached was reused ~23 times. At public API pricing, that’s ~$2,035 without caching vs ~$333 with 5-minute caching. ~$1.7K saved in input-token cost alone.
2:42 PM · Apr 30, 2026·
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  • @forgecodehq
    ForgeCode - Worlds #1 Coding Agent
    @forgecodehq
    This is why ForgeCode invests heavily in prompt caching. In one workspace over the last 7 days on Opus 4.7 - 407M: input tokens - 382.9M: cache-read tokens - 98.1%: cache read ratio - 22.9×: write amortization Amortization = tokens read back per token written to cache. So every 1 token cached was reused ~23 times. At public API pricing, that’s ~$2,035 without caching vs ~$333 with 5-minute caching. ~$1.7K saved in input-token cost alone.
    2:42 PM · Apr 30, 2026·
    959
    Views