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 | mistral |
| Model | magistral-small-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 + 180 OT = 5.3K TT | Cost: 0.003$ + 0.000$ = 0.003$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | mistral |
| Model | mistral-large-2411 |
| 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: 12.3K IT + 25.7K OT = 37.9K TT | Cost: 0.025$ + 0.154$ = 0.178$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | mistral |
| Model | pixtral-large-2411 |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 7.90 % |
| 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: 12.3K IT + 4.8K OT = 17.1K TT | Cost: 0.025$ + 0.029$ = 0.053$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | anthropic |
| Model | claude-sonnet-4-5-20250929 |
| 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: 111.4K IT + 4.4K OT = 115.8K TT | Cost: 0.334$ + 0.066$ = 0.400$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | mistral |
| Model | mistral-large-2512 |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 2.10 % |
| 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: 11.7K IT + 14.6K OT = 26.3K TT | Cost: 0.006$ + 0.022$ = 0.028$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | mistral |
| Model | mistral-medium-2508 |
| Temperature | 0.0 |
| Dataclass | MagazinePage |
| Normalized Score | 0.30 % |
| 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: 11.7K IT + 13.8K OT = 25.5K TT | Cost: 0.005$ + 0.028$ = 0.032$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | openai |
| Model | qwen/qwen3-vl-30b-a3b-instruct |
| 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: 131.2K IT + 39.4K OT = 170.6K TT | Cost: 0.000$ + 0.000$ = 0.021$ |
{'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 | openai |
| Model | gpt-4.1-mini-2025-04-14 |
| Temperature | 1.0 |
| Dataclass | MagazinePage |
| Normalized Score | 19.90 % |
| 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: 119.0K IT + 1.8K OT = 120.7K TT | Cost: 0.048$ + 0.003$ = 0.050$ |
{'century': [20], 'document-type': ['newspaper-page'], 'language': ['en'], 'layout': ['prose', 'columns'], 'script': ['latin'], 'task': ['document-understanding'], 'writing': ['printed']}
| Provider | anthropic |
| Model | claude-sonnet-4-20250514 |
| 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: 98.8K IT + 4.1K OT = 102.9K TT | Cost: 0.296$ + 0.062$ = 0.358$ |