by @querulous-deer
This benchmark evaluates the model's ability to perform data cleaning and pattern normalization. By providing input data with inconsistent delimiters (parentheses, dots, dashes), the task requires the model to extract the core numerical entities and restructure them into a strict international standard (+1 XXX XXX XXXX), testing its precision in string manipulation and adherence to rigid output constraints.
Best in Class
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Your Selection
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| Config | Total Cost | Quality | Username | Position | |
|---|---|---|---|---|---|
| xiaomi/mimo-v2-flash:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| qwen/qwen3-next-80b-a3b-instru... | $0.0000 | 100.0% | @querulous-deer | #1 | |
| qwen/qwen3-coder:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| qwen/qwen-2.5-vl-7b-instruct:f... | $0.0000 | 100.0% | @querulous-deer | #1 | |
| openai/gpt-oss-20b:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| openai/gpt-oss-120b:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| nousresearch/hermes-3-llama-3.... | $0.0000 | 100.0% | @querulous-deer | #1 | |
| moonshotai/kimi-k2:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| mistralai/devstral-2512:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| meta-llama/llama-3.1-405b-inst... | $0.0000 | 100.0% | @querulous-deer | #1 | |
| google/gemma-3-4b-it:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| google/gemma-3-27b-it:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| deepseek/deepseek-r1-0528:free | $0.0000 | 100.0% | @querulous-deer | #1 | |
| google/gemma-3-12b-it:free | $0.0000 | 98.0% | @querulous-deer | #14 | |
| z-ai/glm-4.5-air:free | $0.0000 | 96.0% | @querulous-deer | #15 | |
| meta-llama/llama-3.3-70b-instr... | $0.0000 | 96.0% | @querulous-deer | #15 | |
| nvidia/nemotron-3-nano-30b-a3b... | $0.0000 | 92.0% | @querulous-deer | #17 | |
| mistralai/mistral-small-3.1-24... | $0.0000 | 90.0% | @querulous-deer | #18 | |
| nvidia/nemotron-nano-12b-v2-vl... | $0.0000 | 86.0% | @querulous-deer | #19 | |
| meta-llama/llama-3.2-3b-instru... | $0.0000 | 76.0% | @querulous-deer | #20 | |
| nvidia/nemotron-nano-9b-v2:fre... | $0.0000 | 70.0% | @querulous-deer | #21 | |
| arcee-ai/trinity-mini:free | $0.0000 | 63.3% | @querulous-deer | #22 | |
| google/gemma-3n-e4b-it:free | $0.0000 | 10.0% | @querulous-deer | #23 | |
| tngtech/tng-r1t-chimera:free | $0.0000 | 0.0% | @querulous-deer | #24 | |
| tngtech/deepseek-r1t2-chimera:... | $0.0000 | 0.0% | @querulous-deer | #24 | |
| tngtech/deepseek-r1t-chimera:f... | $0.0000 | 0.0% | @querulous-deer | #24 |
| Total Cost | Quality | |
|---|---|---|
| xiaomi/mimo-v2-flash:free | $0.0000 | 100.0% |
| qwen/qwen3-next-80b-a3b-instru... | $0.0000 | 100.0% |
| qwen/qwen3-coder:free | $0.0000 | 100.0% |
| qwen/qwen-2.5-vl-7b-instruct:f... | $0.0000 | 100.0% |
| openai/gpt-oss-20b:free | $0.0000 | 100.0% |
| openai/gpt-oss-120b:free | $0.0000 | 100.0% |
| nousresearch/hermes-3-llama-3.... | $0.0000 | 100.0% |
| moonshotai/kimi-k2:free | $0.0000 | 100.0% |
| mistralai/devstral-2512:free | $0.0000 | 100.0% |
| meta-llama/llama-3.1-405b-inst... | $0.0000 | 100.0% |
| google/gemma-3-4b-it:free | $0.0000 | 100.0% |
| google/gemma-3-27b-it:free | $0.0000 | 100.0% |
| deepseek/deepseek-r1-0528:free | $0.0000 | 100.0% |
| google/gemma-3-12b-it:free | $0.0000 | 98.0% |
| z-ai/glm-4.5-air:free | $0.0000 | 96.0% |
| meta-llama/llama-3.3-70b-instr... | $0.0000 | 96.0% |
| nvidia/nemotron-3-nano-30b-a3b... | $0.0000 | 92.0% |
| mistralai/mistral-small-3.1-24... | $0.0000 | 90.0% |
| nvidia/nemotron-nano-12b-v2-vl... | $0.0000 | 86.0% |
| meta-llama/llama-3.2-3b-instru... | $0.0000 | 76.0% |
| nvidia/nemotron-nano-9b-v2:fre... | $0.0000 | 70.0% |
| arcee-ai/trinity-mini:free | $0.0000 | 63.3% |
| google/gemma-3n-e4b-it:free | $0.0000 | 10.0% |
| tngtech/tng-r1t-chimera:free | $0.0000 | 0.0% |
| tngtech/deepseek-r1t2-chimera:... | $0.0000 | 0.0% |
| tngtech/deepseek-r1t-chimera:f... | $0.0000 | 0.0% |
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