← Back to matrix · All model evidence for this question

piq27_hard_numeric_cubic_like × GPT-4o-mini ✓ PASS

BENCHMARK QUESTION

Question ID

piq27_hard_numeric_cubic_like

Prompt

Sequence: 1, 8, 27, 64, ?. Each term is the cube of its position. What is the next term?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": 125,
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name

GPT-4o-mini

Model ID

gpt-4o-mini

Raw model response

Execution status

success

Structured output

—

Model configuration

{
  "adapter": "openai_compatible",
  "base_url": "https://api.openai.com/v1",
  "device": null,
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "temperature": 0
  },
  "id": "gpt-4o-mini",
  "local_files_only": false,
  "max_new_tokens": 512,
  "model": "gpt-4o-mini",
  "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": "125",
  "expected_normalized": "125"
}

EXECUTION EVIDENCE

effective_candidate_prompt

Sequence: 1, 8, 27, 64, ?. Each term is the cube of its position. What is the next term?

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

Return only the final answer. Do not include explanation.

benchmark_prompt

Sequence: 1, 8, 27, 64, ?. Each term is the cube of its position. What is the next term?

latency_ms

622.8742259991122

usage

{
  "completion_tokens": 1,
  "completion_tokens_details": {
    "accepted_prediction_tokens": 0,
    "audio_tokens": 0,
    "reasoning_tokens": 0,
    "rejected_prediction_tokens": 0
  },
  "prompt_tokens": 61,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "cached_tokens": 0
  },
  "total_tokens": 62
}

provider_metadata

{
  "id": "chatcmpl-EGccfOOiWmq0bWFxZCSX38I2oqo7f",
  "model": "gpt-4o-mini-2024-07-18",
  "provider": "openai_compatible"
}

timestamp

2026-08-25T04:00:21.578331+00:00

response_id

1a2fb40b7e484639af8edada45f867b6

run_id

94854ffae4ff40ce9e4d2d22743f4771

Execution error

—

Run artifact directory

runs/pattern-iq/gpt-4o-mini

Raw stored response

{
  "benchmark_prompt": "Sequence: 1, 8, 27, 64, ?. Each term is the cube of its position. What is the next term?",
  "effective_candidate_prompt": "Sequence: 1, 8, 27, 64, ?. Each term is the cube of its position. What is the next term?\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": 622.8742259991122,
  "model_id": "gpt-4o-mini",
  "provider_metadata": {
    "id": "chatcmpl-EGccfOOiWmq0bWFxZCSX38I2oqo7f",
    "model": "gpt-4o-mini-2024-07-18",
    "provider": "openai_compatible"
  },
  "question_id": "piq27_hard_numeric_cubic_like",
  "response_id": "1a2fb40b7e484639af8edada45f867b6",
  "run_id": "94854ffae4ff40ce9e4d2d22743f4771",
  "structured_output": null,
  "text": "125",
  "timestamp": "2026-08-25T04:00:21.578331+00:00",
  "usage": {
    "completion_tokens": 1,
    "completion_tokens_details": {
      "accepted_prediction_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "rejected_prediction_tokens": 0
    },
    "prompt_tokens": 61,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cached_tokens": 0
    },
    "total_tokens": 62
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "125",
    "expected_normalized": "125"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "1a2fb40b7e484639af8edada45f867b6",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}