A test run is a single execution of a benchmark test using a defined model configuration.
Each run represents how a particular large language model (LLM) — such as GPT-4, Claude-3, or Gemini — performed on a given task at a specific time, with specific settings.
A test run includes:
Together, test runs make it possible to compare models, providers, and configurations across benchmarks in a transparent and reproducible way.
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | alibaba |
| Model | qwen3.5-27b |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 0.00 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 127.7K IT + 5.7K OT = 133.4K TT | Cost: 0.038$ + 0.014$ = 0.052$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | alibaba |
| Model | qwen3.5-35b-a3b |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 0.00 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 127.7K IT + 5.2K OT = 132.9K TT | Cost: 0.032$ + 0.010$ = 0.042$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | alibaba |
| Model | qwen3.5-flash-2026-02-23 |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 0.00 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 72.2K IT + 2.4K OT = 74.5K TT | Cost: 0.007$ + 0.001$ = 0.008$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | alibaba |
| Model | qwen3.5-plus |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 0.00 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 127.7K IT + 2.2K OT = 129.9K TT | Cost: 0.051$ + 0.005$ = 0.056$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | genai |
| Model | gemini-2.5-pro |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 22.20 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 13.9K IT + 3.1K OT = 17.1K TT | Cost: 0.017$ + 0.031$ = 0.049$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | openai |
| Model | o3-2025-04-16 |
| Temperature | 1.0 |
| Dataclass | MagazinePage |
| Normalized Score | 75.40 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 54.0K IT + 31.9K OT = 85.9K TT | Cost: 0.108$ + 0.255$ = 0.363$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | mistral |
| Model | magistral-medium-2509 |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 0.00 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 5.1K IT + 47.5K OT = 52.6K TT | Cost: 0.010$ + 0.238$ = 0.248$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | genai |
| Model | gemini-2.0-flash |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 2.20 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 88.9K IT + 59.2K OT = 148.1K TT | Cost: 0.009$ + 0.024$ = 0.033$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | openai |
| Model | gpt-4o-mini-2024-07-18 |
| Temperature | 1.0 |
| Dataclass | MagazinePage |
| Normalized Score | 7.60 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 1.7M IT + 1.5K OT = 1.7M TT | Cost: 0.256$ + 0.001$ = 0.256$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | genai |
| Model | gemini-2.5-flash |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 1.60 % |
| Test time | unknown seconds |
Extract all advertisements and return their bounding boxes.
The original size of the page is {width} x {height} pixels.
no valid result| Fuzzy Score | F1 micro / macro | Micro precision/recall | Tue/False Positives | |||||
| n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Micro Precision | Micro Recall | Instances | TP | FP | FN | |||
| Pricing Date: n/a, n/a. | Tokens: 13.9K IT + 3.2K OT = 17.2K TT | Cost: 0.004$ + 0.008$ = 0.012$ |