by @querulous-deer
This benchmark evaluates the model's proficiency in syntax translation and data serialization. By supplying a flat, delimited text format (CSV) and requiring a hierarchical key-value output (JSON), the task tests the model's ability to correctly map headers to keys, handle data types (strings, dates), and produce syntactically valid JSON without losing information or hallucinating values.
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| Config | Total Cost | Quality | Username | Position | |
|---|---|---|---|---|---|
| nvidia/nemotron-3-nano-30b-a3b... | $0.0000 | 88.0% | @querulous-deer | #1 | |
| qwen/qwen3-coder:free | $0.0000 | 83.7% | @querulous-deer | #2 | |
| arcee-ai/trinity-mini:free | $0.0000 | 74.1% | @querulous-deer | #3 | |
| nvidia/nemotron-nano-12b-v2-vl... | $0.0000 | 73.7% | @querulous-deer | #4 | |
| nvidia/nemotron-nano-9b-v2:fre... | $0.0000 | 62.3% | @querulous-deer | #5 | |
| qwen/qwen-2.5-vl-7b-instruct:f... | $0.0000 | 32.0% | @querulous-deer | #6 | |
| openai/gpt-oss-20b:free | $0.0000 | 31.7% | @querulous-deer | #7 | |
| meta-llama/llama-3.2-3b-instru... | $0.0000 | 29.0% | @querulous-deer | #8 | |
| qwen/qwen3-next-80b-a3b-instru... | $0.0000 | 16.3% | @querulous-deer | #9 | |
| deepseek/deepseek-r1-0528:free | $0.0000 | 6.0% | @querulous-deer | #10 | |
| meta-llama/llama-3.1-405b-inst... | $0.0000 | 4.0% | @querulous-deer | #11 | |
| z-ai/glm-4.5-air:free | $0.0000 | 2.0% | @querulous-deer | #12 | |
| xiaomi/mimo-v2-flash:free | $0.0000 | 2.0% | @querulous-deer | #12 | |
| nousresearch/hermes-3-llama-3.... | $0.0000 | 2.0% | @querulous-deer | #12 | |
| moonshotai/kimi-k2:free | $0.0000 | 2.0% | @querulous-deer | #12 | |
| tngtech/tng-r1t-chimera:free | $0.0000 | 0.0% | @querulous-deer | #16 | |
| tngtech/deepseek-r1t2-chimera:... | $0.0000 | 0.0% | @querulous-deer | #16 | |
| tngtech/deepseek-r1t-chimera:f... | $0.0000 | 0.0% | @querulous-deer | #16 | |
| openai/gpt-oss-120b:free | $0.0000 | 0.0% | @querulous-deer | #16 | |
| mistralai/mistral-small-3.1-24... | $0.0000 | 0.0% | @querulous-deer | #16 | |
| mistralai/devstral-2512:free | $0.0000 | 0.0% | @querulous-deer | #16 | |
| meta-llama/llama-3.3-70b-instr... | $0.0000 | 0.0% | @querulous-deer | #16 | |
| google/gemma-3n-e4b-it:free | $0.0000 | 0.0% | @querulous-deer | #16 | |
| google/gemma-3-4b-it:free | $0.0000 | 0.0% | @querulous-deer | #16 | |
| google/gemma-3-27b-it:free | $0.0000 | 0.0% | @querulous-deer | #16 | |
| google/gemma-3-12b-it:free | $0.0000 | 0.0% | @querulous-deer | #16 |
| Total Cost | Quality | |
|---|---|---|
| nvidia/nemotron-3-nano-30b-a3b... | $0.0000 | 88.0% |
| qwen/qwen3-coder:free | $0.0000 | 83.7% |
| arcee-ai/trinity-mini:free | $0.0000 | 74.1% |
| nvidia/nemotron-nano-12b-v2-vl... | $0.0000 | 73.7% |
| nvidia/nemotron-nano-9b-v2:fre... | $0.0000 | 62.3% |
| qwen/qwen-2.5-vl-7b-instruct:f... | $0.0000 | 32.0% |
| openai/gpt-oss-20b:free | $0.0000 | 31.7% |
| meta-llama/llama-3.2-3b-instru... | $0.0000 | 29.0% |
| qwen/qwen3-next-80b-a3b-instru... | $0.0000 | 16.3% |
| deepseek/deepseek-r1-0528:free | $0.0000 | 6.0% |
| meta-llama/llama-3.1-405b-inst... | $0.0000 | 4.0% |
| z-ai/glm-4.5-air:free | $0.0000 | 2.0% |
| xiaomi/mimo-v2-flash:free | $0.0000 | 2.0% |
| nousresearch/hermes-3-llama-3.... | $0.0000 | 2.0% |
| moonshotai/kimi-k2:free | $0.0000 | 2.0% |
| 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% |
| openai/gpt-oss-120b:free | $0.0000 | 0.0% |
| mistralai/mistral-small-3.1-24... | $0.0000 | 0.0% |
| mistralai/devstral-2512:free | $0.0000 | 0.0% |
| meta-llama/llama-3.3-70b-instr... | $0.0000 | 0.0% |
| google/gemma-3n-e4b-it:free | $0.0000 | 0.0% |
| google/gemma-3-4b-it:free | $0.0000 | 0.0% |
| google/gemma-3-27b-it:free | $0.0000 | 0.0% |
| google/gemma-3-12b-it:free | $0.0000 | 0.0% |
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