Extract JSON · 6 checks · max 400 tokens · benched 2026-09-16

MiniMax M3 vs MiniMax M2.7 vs MiniMax M2.5 on people mentioned to a json array

Minimax models side by side on "People mentioned to a JSON array": MiniMax M3 scores 9/10; MiniMax M3 is the cheapest answer scoring 8+ at $0.22 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

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.

Side by side

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.

MiniMax M3

minimax/minimax-m3

9/10

top judge scorecheapest scoring 8+

Latency: 3.0s
Cost: $0.00022
Per 1,000: $0.22

299 in · 163 out (85 reasoning) · 27 words · checks 6/6

json_valid
regex
contains
contains
contains
regex

[
  {"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, but 'staff engineer' should be capitalized as 'Staff Engineer' for consistency with other role formatting.

MiniMax M2.7

minimax/minimax-m2.7

9/10

Latency: 702ms
Cost: $0.00051
Per 1,000: $0.51

143 in · 385 out (326 reasoning) · 8 words · checks 6/6

json_valid
regex
contains
contains
contains
regex

[{"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 for Mei's email, but 'staff engineer' and 'finance lead' lack capitalization consistency with 'Head of Platform'.

MiniMax M2.5

minimax/minimax-m2.5

9/10

Latency: 1.2s
Cost: $0.00023
Per 1,000: $0.23

145 in · 175 out (112 reasoning) · 8 words · checks 6/6

json_valid
regex
contains
contains
contains
regex

[{"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 for Mei's email, but 'staff engineer' and 'finance lead' lack capitalization consistency with 'Head of Platform'.

Frequently asked

What does this prompt test?

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.

Which model should I pick for this task?

If the judge's bar of 8/10 is good enough for you, MiniMax M3 at $0.22 per 1,000 runs. If you need the top score, MiniMax M3 at $0.22 per 1,000 runs.

Same prompt, other families

Run it yourself

Re-run this prompt on Minimax with your own OpenRouter key, or tweak the wording and see what changes.

Side by side

MiniMax M3

MiniMax M2.7

MiniMax M2.5

Frequently asked

Same prompt, other families

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