Jomoq 1: frontier-grade answers in 1.4 seconds

The assumption behind most AI products is that better answers require a bigger model, and a bigger model means waiting. We did not think that was true, so we measured it.

Jomoq 1 is the model that powers Jomoq. Against a frontier model on the same tasks, judged by an independent grader, it scored higher while answering 5.6× faster and using 21× fewer tokens. Below is what we measured, on both chat and the builder.

Chat

Seven tasks: live economic-data questions requiring multiple real data series, live-web research questions, and open conversation. Every configuration ran the same tasks. An independent judge scored all results blind to which system produced them.

The result that surprised us was the quality column. We expected to trade some accuracy for speed and cost. Instead Jomoq 1 posted the highest score of every configuration we tested, including the frontier model itself. Speed came from not making the model do work it did not need to do.

The builder

The same approach runs behind every edit you make to a page. On a 24-task suite:

• 24 of 24 tasks judged successful.
• 92% of edits completed on the fast path, in about a second.
• 17.7× cheaper per edit than rewriting the file with a frontier model, rising to 43× on the largest files.

Cost matters to you because it is what makes the credits in your plan go further. An edit that costs us a fraction as much is an edit you can make many more times.

What this means in practice

Most requests do not need a frontier model. They need the right information gathered quickly and an answer that is checked before you see it. Jomoq 1 handles those directly. When a request genuinely needs more power, it escalates automatically to a frontier model, and you are never asked to choose.

You feel this as replies that begin almost immediately, page edits that appear as you describe them, and a credit balance that lasts.

How we measured

We are publishing these numbers because we think you should be able to check them, so here is what they do and do not cover.

• Chat: 7 tasks across 4 configurations, single run, using live data sources. Judged by Claude Sonnet 5 against ground truth fetched independently at judging time.
• Builder: 24 tasks, judged by Claude Opus 5. Cost compared on matched tasks against a full-rewrite baseline at published list prices.
• The judge shares a model family with the frontier configuration. That bias would favor the frontier results, not ours, and we note it rather than leave it out.
• Live-web news questions scored poorly for every configuration, ours included. Answer quality there is limited by what search returns, not by the system. We report it rather than dropping the tasks.
• These are single-run results on a small suite. Treat them as directional, not as a guarantee for every request.

Jomoq 1 is the default model on Jomoq Pro. Structured answers cite the data they were computed from, and research answers carry their sources. Pick Jomoq 1 in the model menu to try it.