AI Cost Center

AI 成本中心

Token-level spend attribution across providers, models and products, reconciled against the portfolio AI budget.

Demo data· $50.3K / month run-rate
Month to date

$46.2K

+11%vs last month run-rate
14.3M requests billed this month
Projected month end

$51.3K

$1.8K of headroom left
Budget utilisation

86.9%

$53.2K budget · 3 days remaining
Total tokens

41.2B

$1.22 per million tokens
Cache hit rate

47.1%

14.2B input tokens served from cache
AI cost / revenue

11.6%

Gross-margin guardrail: 15%
Daily spend by provider
Stacked provider contribution over the last 30 days
5 providers
Spend by provider
Share of recomputed monthly AI budget
Spend by product
Which products consume the inference budget
Month-to-date trajectory
Actual daily spend in the current billing month

Model ledger

Top models by attributed cost, latency and cache efficiency

Tool calls

13.9M

Reasoning tokens

3.1B

Output tokens

7.9B

Avg tokens / request

2.9K

Input tokens

30.1B

Recomputed total

$50.3K

ModelProviderCostShareRequestsCache hitP95 latency
gpt-5OpenAI$21.2K42.1%1.5M51.9%5.4s
gpt-5-miniOpenAI$12.5K24.8%7.7M45.5%1.8s
claude-4.5-sonnetAnthropic$7.5K15%325.7K39.1%3.8s
claude-4.5-opusAnthropic$3.6K7.3%21.9K39.4%8.2s
deepseek-v4DeepSeek$2K4%2M43.4%2.9s
gemini-3-proGoogle$1.8K3.6%278K60.6%3.5s
gemini-3-flashGoogle$1.1K2.3%2.1M51.7%864ms
qwen-3-maxQwen$501.881%386.6K35.5%2.4s