Jev 1.13
A decision model ranked fourth in the S1MB Japanese track.
Timeline (last 90 days)
On the support-ticket cases with JSON Schema strict mode enabled, Jev took 386 ms, Gemini 896 ms, Mistral 1,672 ms, and GPT-5 nano 7,006 ms.
In one test case, GPT-5.6 Sol cost 32.5 times Jev, and Opus 5 cost 184.9 times Jev.
Jev's average confidence was 0.979 on clear tickets and dropped to 0.841 on six ambiguous tickets; the direction of the gap is right but the magnitude is small, possibly insufficient to support reliable threshold routing.
In independent comparison tests, Jev 1.13's average cost per call was $0.0000188, Mistral Small 3.2 cost 1.4 times Jev, and Gemini 2.5 Flash Lite cost 1.7 times.
In the same tests, Jev's median response time was 352 ms, Mistral Small 3.2 was 1,343 ms, Gemini 2.5 Flash Lite was 877 ms, and GPT-5 nano was 7,504 ms.
GPT-5 nano's cost per call was 18.3 times Jev's, with the vast majority consumed by reasoning tokens.
According to officially published data, Nimble-v4-max scores 10.5 points higher than Jev 1.13 on the public Decision Index score.
In a test of 520 verified comments, Jev 1.13 achieved 94.0% accuracy, detected 175/184 pieces of abusive content, falsely flagged 22/336 clean items, had a median latency of 250ms, and cost $0.05 per thousand calls.
All Facts (6)
In independent comparison tests, Jev 1.13's average cost per call was $0.0000188, Mistral Small 3.2 cost 1.4 times Jev, and Gemini 2.5 Flash Lite cost 1.7 times.
50%UnverifiedIn the same tests, Jev's median response time was 352 ms, Mistral Small 3.2 was 1,343 ms, Gemini 2.5 Flash Lite was 877 ms, and GPT-5 nano was 7,504 ms.
50%UnverifiedGPT-5 nano's cost per call was 18.3 times Jev's, with the vast majority consumed by reasoning tokens.
50%UnverifiedIn one test case, GPT-5.6 Sol cost 32.5 times Jev, and Opus 5 cost 184.9 times Jev.
50%UnverifiedJev's average confidence was 0.979 on clear tickets and dropped to 0.841 on six ambiguous tickets; the direction of the gap is right but the magnitude is small, possibly insufficient to support reliable threshold routing.
50%UnverifiedOn the support-ticket cases with JSON Schema strict mode enabled, Jev took 386 ms, Gemini 896 ms, Mistral 1,672 ms, and GPT-5 nano 7,006 ms.
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