piq40_logic_symmetric

Prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

Gold / expected0Evaluatornormalized_exactTagslogic_grid, hardMetadata

—

Response contract

{
  "instruction": "Return only the final answer. Do not include explanation.",
  "mode": "short_answer"
}

Provenance

—

ModalityNot specified

Wrong-answer distribution · literal raw responses

1 — 1 model

Every model response

gpt-5.6 gpt-5.6 ✓ PASS 0

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule satisfied

Evaluation evidence

{
  "actual_normalized": "0",
  "expected_normalized": "0"
}

Latency

6030.622594989836 ms

Usage

{
  "completion_tokens": 4,
  "completion_tokens_details": {
    "accepted_prediction_tokens": 0,
    "audio_tokens": 0,
    "reasoning_tokens": 0,
    "rejected_prediction_tokens": 0
  },
  "prompt_tokens": 64,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "cache_write_tokens": 0,
    "cached_tokens": 0
  },
  "total_tokens": 68
}

Provider metadata

{
  "id": "chatcmpl-EH04duUhYDfiShtKILn4XCbJn2FYz",
  "model": "gpt-5.6-sol",
  "provider": "openai_compatible"
}

Model config

{
  "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
}

Execution error

—

Evaluation error

—

Qwen 32B AWQ qwen32b-awq ✓ PASS 0

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule satisfied

Evaluation evidence

{
  "actual_normalized": "0",
  "expected_normalized": "0"
}

Latency

128.403946000617 ms

Usage

{
  "input_tokens": 87,
  "output_tokens": 2
}

Provider metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 127.77232799271587,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/qwen32b-awq",
  "model_load_ms": 3622.3182269895915,
  "peak_cuda_memory_allocated_bytes": 19439029760,
  "provider": "transformers_local",
  "quantization_method": "awq",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

Model config

{
  "adapter": "transformers_local",
  "base_url": null,
  "device": "cuda",
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "do_sample": false
  },
  "id": "qwen32b-awq",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/qwen32b-awq",
  "quantization_method": "awq",
  "secret_env": null,
  "supports_json_mode": false,
  "timeout": 60
}

Execution error

—

Evaluation error

—

GPT-4o-mini gpt-4o-mini ✓ PASS 0

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule satisfied

Evaluation evidence

{
  "actual_normalized": "0",
  "expected_normalized": "0"
}

Latency

5456.597005999356 ms

Usage

{
  "completion_tokens": 1,
  "completion_tokens_details": {
    "accepted_prediction_tokens": 0,
    "audio_tokens": 0,
    "reasoning_tokens": 0,
    "rejected_prediction_tokens": 0
  },
  "prompt_tokens": 65,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "cached_tokens": 0
  },
  "total_tokens": 66
}

Provider metadata

{
  "id": "chatcmpl-EGcd9gKurAg2smN4tEoZ2gi3mzE7U",
  "model": "gpt-4o-mini-2024-07-18",
  "provider": "openai_compatible"
}

Model config

{
  "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
}

Execution error

—

Evaluation error

—

Qwen 2.5 14B qwen2.5-14b ✓ PASS 0

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule satisfied

Evaluation evidence

{
  "actual_normalized": "0",
  "expected_normalized": "0"
}

Latency

58.11220999748912 ms

Usage

{
  "input_tokens": 87,
  "output_tokens": 2
}

Provider metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 57.75508900114801,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/qwen2.5-14b",
  "model_load_ms": 71984.59202000231,
  "peak_cuda_memory_allocated_bytes": 29577572864,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

Model config

{
  "adapter": "transformers_local",
  "base_url": null,
  "device": "cuda",
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "do_sample": false
  },
  "id": "qwen2.5-14b",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/qwen2.5-14b",
  "quantization_method": null,
  "secret_env": null,
  "supports_json_mode": false,
  "timeout": 60
}

Execution error

—

Evaluation error

—

Gemma 2 9B IT gemma2-9b-it ✓ PASS 0

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule satisfied

Evaluation evidence

{
  "actual_normalized": "0",
  "expected_normalized": "0"
}

Latency

70.82319899927825 ms

Usage

{
  "input_tokens": 70,
  "output_tokens": 3
}

Provider metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 70.46952300879639,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/gemma2-9b-it",
  "model_load_ms": 3646.1853710061405,
  "peak_cuda_memory_allocated_bytes": 18541714432,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

Model config

{
  "adapter": "transformers_local",
  "base_url": null,
  "device": "cuda",
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "do_sample": false
  },
  "id": "gemma2-9b-it",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/gemma2-9b-it",
  "quantization_method": null,
  "secret_env": null,
  "supports_json_mode": false,
  "timeout": 60
}

Execution error

—

Evaluation error

—

Qwen 2.5 14B AWQ qwen2.5-14b-awq ✓ PASS 0

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule satisfied

Evaluation evidence

{
  "actual_normalized": "0",
  "expected_normalized": "0"
}

Latency

59.65531199763063 ms

Usage

{
  "input_tokens": 87,
  "output_tokens": 2
}

Provider metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 59.13191799481865,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/qwen2.5-14b-awq",
  "model_load_ms": 2744.904780993238,
  "peak_cuda_memory_allocated_bytes": 10056678912,
  "provider": "transformers_local",
  "quantization_method": "awq",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

Model config

{
  "adapter": "transformers_local",
  "base_url": null,
  "device": "cuda",
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "do_sample": false
  },
  "id": "qwen2.5-14b-awq",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/qwen2.5-14b-awq",
  "quantization_method": "awq",
  "secret_env": null,
  "supports_json_mode": false,
  "timeout": 60
}

Execution error

—

Evaluation error

—

Phi-3 Medium phi3-medium-4k ✗ FAIL 1

Effective candidate prompt

In each row, the middle number is the square of the difference between the two edge numbers. If a row is 5, ?, 5, what is missing?

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

Return only the final answer. Do not include explanation.

Evaluation reason

deterministic rule conclusively not satisfied

Evaluation evidence

{
  "actual_normalized": "1",
  "expected_normalized": "0"
}

Latency

84.19784800207708 ms

Usage

{
  "input_tokens": 66,
  "output_tokens": 3
}

Provider metadata

{
  "adapter": "transformers_local",
  "cuda_version": "12.8",
  "device": "cuda",
  "dtype": "auto",
  "generation_latency_ms": 83.91356399806682,
  "gpu_compute_capability": [
    12,
    0
  ],
  "gpu_name": "NVIDIA GeForce RTX 5090",
  "model": "[local-model-path-redacted]/phi3-medium-4k",
  "model_load_ms": 112327.89194400539,
  "peak_cuda_memory_allocated_bytes": 27988511232,
  "provider": "transformers_local",
  "torch_version": "2.9.0+cu128",
  "transformers_version": "4.51.3"
}

Model config

{
  "adapter": "transformers_local",
  "base_url": null,
  "device": "cuda",
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "do_sample": false
  },
  "id": "phi3-medium-4k",
  "local_files_only": true,
  "max_new_tokens": 32,
  "model": "[local-model-path-redacted]/phi3-medium-4k",
  "quantization_method": null,
  "secret_env": null,
  "supports_json_mode": false,
  "timeout": 60
}

Execution error

—

Evaluation error

—