Muse Spark 1.3
meta/muse-spark-1.3
- Latency
- 0ms
- Cost
- $0
- Per 1,000
- $0
0 in · 0 out · 0 words · checks 0/5
- json_valid
- json_keys
- contains
- contains
- regex
(empty output)
Judge: —
Extract JSON · 5 checks · max 400 tokens · benched 2026-09-16
Meta models side by side on "Event announcement to structured JSON": Llama 4 Scout scores 10/10; Llama 4 Scout is the cheapest answer scoring 8+ at $0.03 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.
meta/muse-spark-1.3
0 in · 0 out · 0 words · checks 0/5
(empty output)
Judge: —
meta/muse-glimmer-30b
147 in · 219 out (144 reasoning) · 16 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 time (14:30) not door opening, location is complete and accurate, and attendees uses confirmed count (48) as instructed.
meta-llama/llama-4-maverick
135 in · 51 out · 16 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 time (14:30) not door opening, location is complete and accurate, and attendees uses confirmed count (48) as instructed.
meta-llama/llama-4-scout
135 in · 60 out · 20 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 in ISO format (2026-11-03), start_time correctly uses talk start time (14:30 not door opening), location fully specified, and attendees set to confirmed count (48).
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, Llama 4 Scout at $0.03 per 1,000 runs. If you need the top score, Llama 4 Scout at $0.03 per 1,000 runs.
Run it yourself
Re-run this prompt on Meta with your own OpenRouter key, or tweak the wording and see what changes.
More Meta prompts
If our calculators helped you cut down on hidden AI wallet leaks, thanks for using them. A tiny fraction of your savings is what keeps our pricing indexes updated daily.
Not sure which AI is cheapest for your use case? Find out in 30 seconds — no signup required.
AI cost intelligence
Join the OverpayingForAI list for pricing updates, cheaper alternatives, and practical buying guidance.
Now tracking 50+ AI tools, models, platforms, subscriptions, coding tools, and automation products.