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Public service data

Real usage, aggregated.

A rolling 30-day view of metered Inferaft traffic: token volume, model mix, cache reuse and response latency.

Last updated

Oct 27, 2026, 7:00 PM UTC

Tokens processed

91.8M

Complete metered requests, 30 days

Requests

2,203

92.6% completion rate

Cache ratio

92.7%

Share of measured input served from cache

P95 first token

3.9s

8 active models

Daily token volume

Input plus output tokens from completed requests, bucketed by UTC day.

2026-09-282026-10-27

Model mix

Which models are actually carrying traffic, with recent momentum and cache reuse.

Model30d tokensShare7d trendCacheRequests
deepseek-v4.1-flash67.3M73.3%-100%95.8%1,343
kimi-k313.6M14.9%-53%87.5%219
glm-5.3-flash8M8.7%+521%86.8%251
deepseek-v4-flash1.8M1.9%—65.8%89
glm-5.3560.4K0.6%—5.5%23
gemma-4-31b349.2K0.4%-100%47.5%60
qwen-3.8-27b159.8K0.2%-100%4.0%5
z-image-turbo29,5210.0%-100%0.0%213

Methodology

Measured at the gateway.

Token totals include input plus output only when complete usage is available. Cache ratio is cached input divided by measured input. Latency percentiles use completed requests.

Daily buckets use UTC. Seven-day trend compares the latest rolling seven days with the seven days before it. The public dataset exposes aggregate request metadata only.

Prompts and responses are not stored in request history, and this page does not publish account, workspace, key or geographic breakdowns.