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Optimize Ideogram API performance with caching, model selection, and parallel generation.
Passed 20 of 23 test cases with the skill, and 11 of 23 without it.
and 7 more in the full report
9 fixed11 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to configure our V3 Ideogram client tier for faster generations (4-8 seconds) while maintaining V3 model quality. Which rendering_speed enum value should be passed to the V3 endpoint?
| Checked | Without skill | With skill |
|---|---|---|
| sets rendering_speed to TURBO | Missed | Passed |
The instructions your model reads when the skill loads.
Improve end-to-end time and useful throughput with measurements, not unsupported rendering flags. Separate queue wait, upload, vendor generation, webhook or polling, download, validation, and storage so optimization preserves safety, quality, cost, and asset durability.
Ideogram offers synchronous and asynchronous routes plus V4, transparency, P-Image, V3, and outcome-focused tools. Route-specific rendering options differ; V4 FLASH currently returns 400. Default capacity is 10 in-flight requests, and returned asset URLs require prompt download.
Benchmark workers use server-side IDEOGRAM_API_KEY through Api-Key to https://api.ideogram.ai. Metrics label endpoint, status, stage, and content-free workload class, never prompt or image content.
generation_id, acknowledge application requests early, and reconcile by webhook plus polling.429, timeout, queue age, and cost per useful output.Use Read, Glob, and Grep to inspect metrics, queues, adapters, and fixtures. Use Write and Edit for approved instrumentation or tuning changes. Do not launch a paid benchmark or alter production capacity merely because this skill was selected.
Require owners for benchmark spend, traffic sampling, model or rendering changes, quality evaluation, concurrency increases, and deployment. Never trade away safety checks or durable persistence for lower apparent latency.
test cases passed, vs 11 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.