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piq45_advanced_letter_number_code × gpt-5.6 ✓ PASS

BENCHMARK QUESTION

Question ID

piq45_advanced_letter_number_code

Prompt

Code: A1, C4, F8, J13, ?; letter increments: +2, +3, +4...; number increments: +3, +4, +5.... What is the next code?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

O19

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": "O19",
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name

gpt-5.6

Model ID

gpt-5.6

Raw model response

O19

Execution status

success

Structured output

—

Model configuration

{
  "adapter": "openai_compatible",
  "base_url": "https://api.openai.com/v1",
  "device": null,
  "dtype": "auto",
  "extra_headers": {},
  "generation": {},
  "id": "gpt-5.6",
  "local_files_only": false,
  "max_new_tokens": 512,
  "model": "gpt-5.6",
  "quantization_method": null,
  "secret_env": "OPENAI_API_KEY",
  "supports_json_mode": false,
  "timeout": 120
}

EVALUATION RESULT

Result

PASS

Stored evaluation status

passed

Score

1.0

gate_status

pass

conclusive

true

evaluator_name

pegasus.normalized_exact

evaluator_version

rule_type

normalized_exact

Reason

deterministic rule satisfied

Evaluator error

—

GRADER EVIDENCE

evaluation.evidence

{
  "actual_normalized": "o19",
  "expected_normalized": "o19"
}

EXECUTION EVIDENCE

effective_candidate_prompt

Code: A1, C4, F8, J13, ?; letter increments: +2, +3, +4...; number increments: +3, +4, +5.... What is the next code?

Return only the final answer. Do not include explanation or reasoning.

Return only the final answer. Do not include explanation.

benchmark_prompt

Code: A1, C4, F8, J13, ?; letter increments: +2, +3, +4...; number increments: +3, +4, +5.... What is the next code?

latency_ms

6116.5818459994625

usage

{
  "completion_tokens": 5,
  "completion_tokens_details": {
    "accepted_prediction_tokens": 0,
    "audio_tokens": 0,
    "reasoning_tokens": 0,
    "rejected_prediction_tokens": 0
  },
  "prompt_tokens": 77,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "cache_write_tokens": 0,
    "cached_tokens": 0
  },
  "total_tokens": 82
}

provider_metadata

{
  "id": "chatcmpl-EH054FDFtJfO3kJHqAMzAFg83tIFv",
  "model": "gpt-5.6-sol",
  "provider": "openai_compatible"
}

timestamp

2026-08-26T05:03:09.609934+00:00

response_id

a427b278fc6244a7946722fc7bda5e43

run_id

39f8989f18fa4c2385ded4beb397963b

Execution error

—

Run artifact directory

runs/pattern-iq/gpt-5.6

Raw stored response

{
  "benchmark_prompt": "Code: A1, C4, F8, J13, ?; letter increments: +2, +3, +4...; number increments: +3, +4, +5.... What is the next code?",
  "effective_candidate_prompt": "Code: A1, C4, F8, J13, ?; letter increments: +2, +3, +4...; number increments: +3, +4, +5.... What is the next code?\n\nReturn only the final answer. Do not include explanation or reasoning.\n\nReturn only the final answer. Do not include explanation.",
  "error": null,
  "execution_status": "success",
  "latency_ms": 6116.5818459994625,
  "model_id": "gpt-5.6",
  "provider_metadata": {
    "id": "chatcmpl-EH054FDFtJfO3kJHqAMzAFg83tIFv",
    "model": "gpt-5.6-sol",
    "provider": "openai_compatible"
  },
  "question_id": "piq45_advanced_letter_number_code",
  "response_id": "a427b278fc6244a7946722fc7bda5e43",
  "run_id": "39f8989f18fa4c2385ded4beb397963b",
  "structured_output": null,
  "text": "O19",
  "timestamp": "2026-08-26T05:03:09.609934+00:00",
  "usage": {
    "completion_tokens": 5,
    "completion_tokens_details": {
      "accepted_prediction_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "rejected_prediction_tokens": 0
    },
    "prompt_tokens": 77,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cache_write_tokens": 0,
      "cached_tokens": 0
    },
    "total_tokens": 82
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "o19",
    "expected_normalized": "o19"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "a427b278fc6244a7946722fc7bda5e43",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}