Structure & Data · blind round

R146 · Repair broken JSON (4 precise errors)

blind round 10/11 local models answered

Every answer below carries the name of the model that wrote it. Blind refers to the scoring: the review was done without knowing which model produced which answer — the published result names them.

1 of the 11 local models delivered nothing through our test harness in this round — for reasons that lie with our setup, not with the models. Those cards are marked DNF like any other, but they are not evidence about those models — the reason is noted on the card itself.

Show task

Fix the following JSON. It contains exactly 4 errors: a missing comma, an unquoted key, a trailing comma, and a wrong closing bracket. Output ONLY the corrected, valid JSON — no explanation, no markdown code fence.

{
  "name": "Alex Weber",
  "age": 34
  "email": "alex@example.com",
  "active": true,
  tags: ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany",
  ]
}

The answers

Local models (Brain cluster) — identical prompt, shuffled order (the sequence is not a ranking)

qwen3.5:9b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

qwen3:14b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

llama3.1:8b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

deepseek-r1:14b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

gemma4:26b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

qwen3:8bharness

No answer reached us (ERR) — and the reason lies with our setup, not with the model: reasoning consumed the entire token budget and the answer stayed empty; the gateway rejects budgets above 3000 tokens Counted as a did-not-finish, but it is not evidence about this model.

mistral-small:24b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

qwen3-coder:30b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

qwq:32b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

command-r:35b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"], 
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5", 
    "city": "Berlin", 
    "zip": "10115",
    "country": "Germany"
  }
}

deepseek-r1:32b

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

Outside the Brain cluster — same task, same character budget, collected through their own tooling (response times not comparable)

Claude Opus 5frontier reference

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

Claude Sonnet 5frontier reference

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

Claude Fable 5frontier reference

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

Claude Haiku 4.5frontier reference

{
  "name": "Alex Weber",
  "age": 34,
  "email": "alex@example.com",
  "active": true,
  "tags": ["admin", "beta"],
  "signupYear": 2024,
  "address": {
    "street": "Hauptstr. 5",
    "city": "Berlin",
    "zip": "10115",
    "country": "Germany"
  }
}

Reference

Gold — the correct answerreference

{"name":"Alex Weber","age":34,"email":"alex@example.com","active":true,"tags":["admin","beta"],"signupYear":2024,"address":{"street":"Hauptstr. 5","city":"Berlin","zip":"10115","country":"Germany"}} — maschinell verifiziert mit python3 json.loads() (parst fehlerfrei, 7 Top-Level-Keys). Die 4 Fehler: (1) fehlendes Komma nach "age": 34, (2) unquoted key tags, (3) trailing comma nach "country": "Germany", (4) schliessende "]" statt "}" bei address.

Results at a glance— every model in this round with score, response time and status.

Who wrote what

Model	Blind score	Latency	Status
qwen3.5:9b	10.0	20.9 s	OK
qwen3:14b	10.0	18.1 s	OK
llama3.1:8b	10.0	11.1 s	OK
deepseek-r1:14b	10.0	86.5 s	OK
gemma4:26b	10.0	112.3 s	OK
qwen3:8b	—	—	harness
mistral-small:24b	10.0	8.7 s	OK
qwen3-coder:30b	10.0	19.0 s	OK
qwq:32b	10.0	97.6 s	OK
command-r:35b	10.0	89.3 s	OK
deepseek-r1:32b	10.0	68.2 s	OK

Verdict

10 of 10 answering local models matched the gold answer (blind score ≥ 8): gemma4:26b, mistral-small:24b, llama3.1:8b, qwen3-coder:30b, qwen3:14b, qwen3.5:9b, deepseek-r1:14b, deepseek-r1:32b, qwq:32b, command-r:35b.