PEGASUS EVAL / RESULTS EXPLORER

Observed benchmark evidence · read-only

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piq23_logic_two_dimension × gpt-5.6   ✓ PASS

BENCHMARK QUESTION

Question ID
piq23_logic_two_dimension
Prompt
In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?
Options
—
Tags
[
  "logic_grid",
  "medium"
]
Difficulty
—
Metadata
—
Response contract
{
  "instruction": "Return only the final answer. Do not include explanation.",
  "mode": "short_answer"
}
Question provenance
—

GOLD / BENCHMARK TRUTH

Raw expected value
8
Evaluation rule type
normalized_exact
Raw evaluation rule
{
  "expected": 8,
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name
gpt-5.6
Model ID
gpt-5.6
Raw model response
8
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
1
rule_type
normalized_exact
Reason
deterministic rule satisfied
Evaluator error
—

GRADER EVIDENCE

evaluation.evidence
{
  "actual_normalized": "8",
  "expected_normalized": "8"
}

EXECUTION EVIDENCE

effective_candidate_prompt
In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?

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

Return only the final answer. Do not include explanation.
benchmark_prompt
In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?
latency_ms
2377.1940920123598
usage
{
  "completion_tokens": 4,
  "completion_tokens_details": {
    "accepted_prediction_tokens": 0,
    "audio_tokens": 0,
    "reasoning_tokens": 0,
    "rejected_prediction_tokens": 0
  },
  "prompt_tokens": 75,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "cache_write_tokens": 0,
    "cached_tokens": 0
  },
  "total_tokens": 79
}
provider_metadata
{
  "id": "chatcmpl-EH03mghebsyNq8N9gGhbYOhwt1mIn",
  "model": "gpt-5.6-sol",
  "provider": "openai_compatible"
}
timestamp
2026-08-26T05:01:52.588254+00:00
response_id
4d7d43f8c75c42449a009b93d7a57a14
run_id
39f8989f18fa4c2385ded4beb397963b
Execution error
—
Run artifact directory
runs/pattern-iq/gpt-5.6
Raw stored response
{
  "benchmark_prompt": "In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?",
  "effective_candidate_prompt": "In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?\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": 2377.1940920123598,
  "model_id": "gpt-5.6",
  "provider_metadata": {
    "id": "chatcmpl-EH03mghebsyNq8N9gGhbYOhwt1mIn",
    "model": "gpt-5.6-sol",
    "provider": "openai_compatible"
  },
  "question_id": "piq23_logic_two_dimension",
  "response_id": "4d7d43f8c75c42449a009b93d7a57a14",
  "run_id": "39f8989f18fa4c2385ded4beb397963b",
  "structured_output": null,
  "text": "8",
  "timestamp": "2026-08-26T05:01:52.588254+00:00",
  "usage": {
    "completion_tokens": 4,
    "completion_tokens_details": {
      "accepted_prediction_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "rejected_prediction_tokens": 0
    },
    "prompt_tokens": 75,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cache_write_tokens": 0,
      "cached_tokens": 0
    },
    "total_tokens": 79
  }
}
Raw stored evaluation
{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "8",
    "expected_normalized": "8"
  },
  "gate_status": "pass",
  "reason": "deterministic rule satisfied",
  "response_id": "4d7d43f8c75c42449a009b93d7a57a14",
  "rule_type": "normalized_exact",
  "score": 1.0,
  "status": "passed"
}