Evaluate for repeatable content
Omev AI
Two in-house text models for production workloads. Start with a clear brief, a repeatable output format and a quality bar your team can check.
API cost & workload comparison
Move high-volume content from OpenAIto a rate built for production
On the worked example below, Omev Pro cuts the GPT-5.6 Terra token bill by about 60%. Move one repeatable draft, metadata or rewrite workflow first, verify the output, then expand the route without replacing the rest of your OpenAI stack.
$5 free credit · 10 days · no card
By Di Reshtei, Co-founder of OmevAI · X
Rates checked
Two providers. One workload to compare.
Here, “ChatGPT API” means the OpenAI API and its usage-based token charges. ChatGPT app subscriptions are separate. Omev AI publishes this comparison; output quality needs a test on your own briefs.
Keep what already earns its cost
OpenAI API
Keep your existing model for work where its results or OpenAI-specific features matter. Compare Omev on the content tasks you can evaluate independently.
Omev AI vs OpenAI API prices
Standard paid text rates in USD per one million tokens, checked September 15, 2026. This is a selected catalog of models for content budgets. Pick the exact model your workload uses.
| Model | Input / 1M | Output / 1M |
|---|---|---|
| OmevAI LiteOmev AI | $0.15 | $1.25 |
| OmevAI ProOmev AI | $0.625 | $5.00 |
| GPT-5.6 Luna ↗OpenAI | $0.20 | $1.20 |
| GPT-5.6 Terra ↗OpenAI | $2.00 | $12.00 |
| GPT-5.6 Sol ↗OpenAI | $4.00 | $20.00 |
| GPT-6 Astra ↗OpenAI | $10.00 | $50.00 |
| GPT-5.4 · legacy ↗OpenAI | $2.50 | $15.00 |
| GPT-5.4 mini · legacy ↗OpenAI | $0.75 | $4.50 |
| GPT-5.4 nano · legacy ↗OpenAI | $0.20 | $1.25 |
| GPT-5 nano · legacy ↗OpenAI | $0.05 | $0.40 |
Each model links to its price source. These figures exclude cached-input and Batch discounts, long-context premiums, tools, media, regional charges and taxes. A lower token rate alone does not tell you the cost of an approved article.
Move the workload where Omev creates the larger win
GPT-5.6 Luna is $0.20 input / $1.20 output per 1M tokens, so its raw token total can sit close to Omev Lite. Start with the balanced-model or high-review-cost work where Omev has more room to lower the production bill, then test economy-tier jobs on cost per accepted output.
Compare the economy-tier workload →An illustrative budget
What 500 articles could cost in tokens
Assume 3,000 input and 2,000 output tokens per article: 1,500,000 input and 1,000,000 output tokens a month. Replace these assumptions with your measured usage.
Omev Pro
$5.9375
per month · published text rates
GPT-5.6 Terra
$15.00
per month · standard text rates
Moving this workload to Omev Pro keeps $9.0625 a month at published standard rates. Scale the article count to your own volume to see the annual impact.
The example holds billed token counts constant. Real models can tokenize the same prompt differently, produce different response lengths and need different retries. Include every draft, revision and review pass in the budget for finished content.
Adjust this example in the calculator →Already using OpenAI Batch?
OpenAI lists a 50% discount for eligible asynchronous Batch jobs. At those rates, this GPT-5.6 Terra example is $7.50; Omev Pro stays $5.9375. The difference narrows to $1.5625.
Paying an effective rate?
Cached input or negotiated pricing can shrink the gap again. Use your billed token counts and effective rates in the calculator. Keep storage, tools and other non-token charges separate.
Budget the cost of approved content →Start with the work you can evaluate
A small, well-specified content workload is easier to compare than an entire application. Choose a task with a clear acceptance rule and count how often each provider reaches it.
Evaluate on Omev AI
- Metadata and short rewrites: start with Lite and check length, required terms and factual consistency.
- Tagging and extraction: compare against known labels or source fields, with a clear error budget.
- Briefs and longer drafts: evaluate Pro against the same outline, source material and editorial requirements.
Keep on OpenAI when…
- Your existing model passes difficult briefs more reliably, with less editorial rework.
- The workflow depends on OpenAI-specific tools or capabilities you have not verified elsewhere.
- A cheaper OpenAI model or your discounted rate already meets the same acceptance criteria.
- The engineering and evaluation effort would outweigh the measured monthly difference.
Also check provider terms before testing production material. Omev requires permission to train on customer content and has no training opt-out. Read the customer-content terms.
Test one workload before changing the bill
Choose the sample
Pick representative briefs and define what an acceptable result looks like. Include difficult cases and use anonymized material you are permitted to share.
Compare finished output
Run the same sample on both providers. Record accepted results, total token charges, retries and time spent editing.
Move a small share
If the measured result is worthwhile, route a small share of that task to Omev. Keep your current provider available while your team validates the change.
Omev documents an OpenAI-compatible text API. Your team can adapt the supported calls and keep the rest of the application on OpenAI. Check exact parameters, output handling and any OpenAI-specific features before treating the change as compatible.
Check the documented integration path ↗Omev AI vs ChatGPT API: common questions
Is this ChatGPT pricing or OpenAI API pricing?
This compares usage-based API token charges. ‘ChatGPT API’ is a common search phrase for the OpenAI API. A ChatGPT app subscription is a different purchase and is not the rate used in these calculations.
Is Omev AI cheaper than the OpenAI API?
For the current balanced-model comparison on this page, yes: in the 500-article example, moving from GPT-5.6 Terra to Omev Pro lowers the list-price token bill from $15.00 to $5.9375. GPT-5.6 Luna and Omev Lite are much closer, so benchmark cost per accepted output before moving economy-tier work. Batch, cached usage and negotiated rates can change the comparison.
Should I test Omev Lite or Omev Pro?
Start with Lite for short, repeatable tasks such as metadata, tagging and constrained rewrites. Evaluate Pro for briefs, longer drafts and editorial passes with several constraints. These are workload suggestions; neither model is a demonstrated quality match for a particular OpenAI model.
Can I compare my OpenAI Batch or cached-input rate?
Yes. Open the cost calculator, enable ‘Use my effective input and output rates’ and enter the rates that apply to your workload. For mixed cached and uncached input, use a weighted effective input rate. Keep non-token fees separate. Omev remains at its published rates.
Can I keep my OpenAI integration?
Omev documents an OpenAI-compatible text API. Your team can adapt supported text calls while keeping other workloads on OpenAI. Check the exact model, parameters and output behavior in the docs; OpenAI-specific tools and API features need their own compatibility review.
How should I compare output quality?
Run a representative set of the same briefs through both providers. Agree the acceptance criteria first, then count accepted results, total billed tokens, retries and review time. Choose a provider using the cost of output you can actually publish, rather than token price alone.
What does the Omev trial include?
Self-service signup includes $5 of credit for 10 days with no payment card required. Verify your email to access the account and initial API key. Use the credit to evaluate representative text work before committing production volume.
Move one production workload to Omev
Bring one repeatable content task and the standard it needs to meet. Use your Omev credit to compare the output, move the slice that passes, then expand the route as the saving compounds.
Test Omev AI →$5 free credit · 10 days · no card