| columns: | |
| gpt-oss: | |
| modelName: openai/gpt-oss-120b | |
| modelProvider: groq | |
| userPrompt: Create a complete, runnable HTML+JS file implementing {{description}} | |
| prompt: " | |
| You are a rigorous, intelligent data-processing engine. Generate only the | |
| requested response format, with no explanations following the user | |
| instruction. You might be provided with positive, accurate examples of how | |
| the user instruction must be completed. | |
| # User instruction | |
| Create a complete, runnable HTML+JS file implementing {{description}} | |
| # Your response | |
| \ " | |
| searchEnabled: false | |
| columnsReferences: | |
| - description | |
| eval-qwen-coder: | |
| modelName: Qwen/Qwen3-Coder-480B-A35B-Instruct | |
| modelProvider: cerebras | |
| userPrompt: >2- | |
| Please compare the two apps and tell me which one is better and why: | |
| App description: | |
| {{description}} | |
| model 1: | |
| {{qwen3-coder}} | |
| model 2: | |
| {{gpt-oss}} | |
| Keep it very short and focus on whether they work well for the purpose, | |
| make sure they work and are not incomplete, and the code quality, not on | |
| visual appeal and unrequested features. Assume the models might provide | |
| non working solutions, so be careful to assess that | |
| Respond with: | |
| chosen: {model 1, model 2} | |
| reason: ... | |
| prompt: " | |
| You are a rigorous, intelligent data-processing engine. Generate only the | |
| requested response format, with no explanations following the user | |
| instruction. You might be provided with positive, accurate examples of how | |
| the user instruction must be completed. | |
| # User instruction | |
| \ Please compare the two apps and tell me which one is better and why: | |
| \ App description: | |
| \ {{description}} | |
| model 1: | |
| \ {{qwen3-coder}} | |
| model 2: | |
| \ {{gpt-oss}} | |
| Keep it very short and focus on whether they work well for the purpose, | |
| make sure they work and are not incomplete, and the code quality, not on | |
| visual appeal and unrequested features. Assume the models might provide | |
| non working solutions, so be careful to assess that | |
| \ Respond with: | |
| \ chosen: {model 1, model 2} | |
| \ reason: ... | |
| # Your response | |
| \ " | |
| searchEnabled: false | |
| columnsReferences: | |
| - gpt-oss | |
| - description | |
| - qwen3-coder | |
| eval-gpt-oss: | |
| modelName: openai/gpt-oss-120b | |
| modelProvider: groq | |
| userPrompt: >2- | |
| Please compare the two apps and tell me which one is better and why: | |
| App description: | |
| {{description}} | |
| model 1: | |
| {{qwen3-coder}} | |
| model 2: | |
| {{gpt-oss}} | |
| Keep it very short and focus on whether they work well for the purpose, | |
| make sure they work and are not incomplete, and the code quality, not on | |
| visual appeal and unrequested features. Assume the models might provide | |
| non working solutions, so be careful to assess that | |
| Respond with: | |
| chosen: {model 1, model 2} | |
| reason: ... | |
| prompt: " | |
| You are a rigorous, intelligent data-processing engine. Generate only the | |
| requested response format, with no explanations following the user | |
| instruction. You might be provided with positive, accurate examples of how | |
| the user instruction must be completed. | |
| # User instruction | |
| \ Please compare the two apps and tell me which one is better and why: | |
| \ App description: | |
| \ {{description}} | |
| model 1: | |
| \ {{qwen3-coder}} | |
| model 2: | |
| \ {{gpt-oss}} | |
| Keep it very short and focus on whether they work well for the purpose, | |
| make sure they work and are not incomplete, and the code quality, not on | |
| visual appeal and unrequested features. Assume the models might provide | |
| non working solutions, so be careful to assess that | |
| \ Respond with: | |
| \ chosen: {model 1, model 2} | |
| \ reason: ... | |
| # Your response | |
| \ " | |
| searchEnabled: false | |
| columnsReferences: | |
| - gpt-oss | |
| - description | |
| - qwen3-coder | |