Extract JSON · 6 checks · max 400 tokens · benched 2026-09-16
Meta models side by side on "People mentioned to a JSON array": Llama 4 Scout scores 9/10; Llama 4 Scout is the cheapest answer scoring 8+ at $0.04 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
From the text, return a JSON array of every person mentioned. Each element is an object with keys name, role, email (use null when an email is not given). Preserve the order in which people first appear. Text: The migration is led by Dana Okafor (Head of Platform, [email protected]). She is supported by Luis Ferreira, a staff engineer, whose address is [email protected]. Questions about billing go to Mei Tanaka, our finance lead; she prefers phone calls and has not shared an email.
Rubric for the judge: A three-element JSON array in order (Dana, Luis, Mei) with correct roles, emails and a JSON null for Mei.
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 0/6
(empty output)
Judge: —
meta/muse-glimmer-30b
156 in · 251 out (158 reasoning) · 33 words · checks 6/6
[
{
"name": "Dana Okafor",
"role": "Head of Platform",
"email": "[email protected]"
},
{
"name": "Luis Ferreira",
"role": "staff engineer",
"email": "[email protected]"
},
{
"name": "Mei Tanaka",
"role": "finance lead",
"email": null
}
]Judge: Correct structure, order, and content with all three people and proper null handling, but 'staff engineer' and 'finance lead' lack capitalization consistency with 'Head of Platform'.
meta-llama/llama-4-maverick
144 in · 97 out · 33 words · checks 6/6
[
{
"name": "Dana Okafor",
"role": "Head of Platform",
"email": "[email protected]"
},
{
"name": "Luis Ferreira",
"role": "staff engineer",
"email": "[email protected]"
},
{
"name": "Mei Tanaka",
"role": "finance lead",
"email": null
}
]Judge: Correct structure, order, and content with all three people and proper null handling, but 'staff engineer' and 'finance lead' lack capitalization consistency with 'Head of Platform'.
meta-llama/llama-4-scout
144 in · 97 out · 33 words · checks 6/6
[
{
"name": "Dana Okafor",
"role": "Head of Platform",
"email": "[email protected]"
},
{
"name": "Luis Ferreira",
"role": "staff engineer",
"email": "[email protected]"
},
{
"name": "Mei Tanaka",
"role": "finance lead",
"email": null
}
]Judge: Correct structure, order, and content with all three people and proper null handling, but 'staff engineer' and 'finance lead' lack capitalization consistency with 'Head of Platform'.
Extract JSON: A three-element JSON array in order (Dana, Luis, Mei) with correct roles, emails and a JSON null for Mei. The deterministic checks are json_valid, regex, contains, contains, contains, regex.
If the judge's bar of 8/10 is good enough for you, Llama 4 Scout at $0.04 per 1,000 runs. If you need the top score, Llama 4 Scout at $0.04 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.
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