Extract JSON · 5 checks · max 400 tokens · benched 2026-09-16
Alibaba models side by side on "Event announcement to structured JSON": Qwen3.7 Plus scores 10/10; Qwen3.7 Plus is the cheapest answer scoring 8+ at $1.05 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.
System
You are a data extraction engine. Reply with JSON only, no prose, no code fences.
User
Return one JSON object with keys title (string), date (YYYY-MM-DD), start_time (24-hour HH:MM), location (string), attendees (integer). Use only facts stated in the announcement. Announcement: Join us for the Autumn Data Meetup on Tuesday 3 November 2026. Doors open at 2 pm and talks start at 2:30 pm at The Loft, 14 Harbour Street. We have confirmed 48 attendees so far and can take up to 60.
Rubric for the judge: Correctly picks the talk start (14:30, not doors), ISO date, integer attendees 48, and a sensible title and location.
Every cell is one OpenRouter call at temperature 0 with the prompt's token cap and reasoning effort "low" where the model supports it. Cost is usage × the catalogue rate in models.json. Quality is one judge call to anthropic/claude-haiku-4.5 against the prompt's rubric, cached per prompt version.
qwen/qwen3.8-max-0902
169 in · 265 out (214 reasoning) · 7 words · checks 4/5
{"title":"Autumn Data Meetup","date":"2026-11-03","start_time":"14:00","location":"The Loft, 14 Harbour Street","attendees":48}Judge: Correctly identified title, date, location, and attendees (48), but start_time is 14:00 (doors open) instead of 14:30 (talks start) as specified in the rubric.
qwen/qwen3.8-27b
169 in · 247 out (164 reasoning) · 7 words · checks 4/5
{"title":"Autumn Data Meetup","date":"2026-11-03","start_time":"14:00","location":"The Loft, 14 Harbour Street","attendees":48}Judge: Correctly identified title, date, location, and attendees (48), but start_time is 14:00 (doors open) instead of 14:30 (talks start) as specified in the rubric.
qwen/qwen3.8-flash
143 in · 365 out (264 reasoning) · 7 words · checks 4/5
{"title":"Autumn Data Meetup","date":"2026-11-03","start_time":"14:00","location":"The Loft, 14 Harbour Street","attendees":48}Judge: Correctly identified title, date, location, and attendees (48), but start_time is 14:00 (doors open) instead of 14:30 (talks start) as specified in the rubric.
qwen/qwen3.7-plus
143 in · 787 out (715 reasoning) · 18 words · checks 5/5
{
"title": "Autumn Data Meetup",
"date": "2026-11-03",
"start_time": "14:30",
"location": "The Loft, 14 Harbour Street",
"attendees": 48
}Judge: All fields correctly extracted: title matches announcement, date is proper ISO format, start_time correctly uses talk start (14:30) not door opening, location is complete and accurate, and attendees count is 48 as stated.
Extract JSON: Correctly picks the talk start (14:30, not doors), ISO date, integer attendees 48, and a sensible title and location. The deterministic checks are json_valid, json_keys, contains, contains, regex.
If the judge's bar of 8/10 is good enough for you, Qwen3.7 Plus at $1.05 per 1,000 runs. If you need the top score, Qwen3.7 Plus at $1.05 per 1,000 runs.
Run it yourself
Re-run this prompt on Alibaba with your own OpenRouter key, or tweak the wording and see what changes.
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