OpenAI Cost Optimization
Cut your OpenAI bill with OhChimp. Find Batch API savings, unused prompt caching, and overspent frontier models, verified on your real invoice.
What OhChimp optimizes for OpenAI
Some of the cost levers OhChimp checks for OpenAI. Each one becomes a reviewable plan you approve before anything changes.
Synchronous spend the Batch API halves
The Batch API bills input and output tokens at a 50% discount for work that can finish within a 24-hour window. OhChimp flags each model carrying material synchronous spend (evals, backfills, embedding and classification pipelines, scheduled jobs) and writes the plan to route that latency-tolerant traffic through the Batch API.
Prompt caching left on the table
Cache-capable models running heavy input volume with zero cached reads usually mean prompts put the variable part first, defeating prefix matching. OhChimp catches these models and drafts the prompt-structure fix: stable content (system prompt, tool definitions, examples) first, variable content last, so caching engages and repeated prefixes bill at the cache-read rate.
Frontier models doing standard-tier work
Frontier-tier models carrying material monthly spend are the largest direct-API lever when quality permits a cheaper model. OhChimp classifies each model by tier and flags frontier spend so you can route the share that does not need it to a standard- or economy-tier model.
Per-model spend you can finally rank
OhChimp prices every model's token volume at per-token rates and projects a monthly cost, sorted highest first. You see exactly which models drive the bill, split by synchronous and Batch usage, so the optimization effort lands where the money actually is.
Token estimate reconciled to the real bill
OhChimp cross-checks its per-token estimate against billed spend from the Costs API, broken down by line item. That surfaces non-completion charges the token math excludes (images, audio, fine-tuning, tools), so you see the whole invoice across every line item.
OpenAI cost optimization FAQ
How does OhChimp connect to OpenAI?
With a read-only organization Admin API key (sk-admin-...). OhChimp verifies the key by listing your organization projects, then reads the Usage API and Costs API to find waste. It never stores application data, secrets, prompts, or completion contents.
Does OhChimp need write access or see my prompts?
No. The Admin API key is read-only for usage and billing. OhChimp reads token counts per model and billed spend by line item. It never reads or stores your prompts, completions, secrets, or workload contents.
What OpenAI costs can OhChimp actually reduce?
Synchronous spend the Batch API bills at a 50% discount, prompt caching that sits unused on high-input models, frontier-tier models running work a cheaper tier could handle, and per-model spend you can rank to focus the effort. It also reconciles the token estimate against the Costs API so non-completion charges (images, audio, fine-tuning, tools) are caught.
Who applies the changes, and can they be rolled back?
You do. Each fix is a reviewable plan with a confidence score, a risk level, and rollback steps. Nothing changes until you click apply, and you are always the one who clicks.
How are OpenAI savings verified, and what does it cost?
Against your real OpenAI bill. A plan is marked VERIFIED only after 7 or more days, a drop of at least 10%, and 3 consecutive positive checks, otherwise it stays flagged not implemented. Pricing is a flat monthly fee with no cut of your savings, plus a year-one ROI guarantee: a full refund of subscription fees if it does not pay for itself in your first 12 months on a paid plan.
Related integrations
Teams running OpenAI usually run these too. OhChimp finds the waste in each and proves it on the bill.
Cursor
Inactive seats and usage-based spend
Anthropic
Claude token spend, model fit, caching
Twilio
SMS and voice spend, number inventory