Benchmarking 12 AI Models for Business Chart Generation: Llama vs. Qwen vs. Gemma

12 AI Models Tested: Which One Generates the Best Business Charts?

Researcher Rıdvan Tülünay benchmarked 12 local AI models across 32 real-world business dashboard scenarios to evaluate configuration accuracy. Llama 3.1 8B achieved the highest correctness score, successfully mapping data for 28 out of 32 test cases.

Why This Matters

While ideal AI models should seamlessly convert natural language to visualization code, the technical reality reveals frequent failures in structured output and intent detection. For engineers building analytics tools, the trade-off between Gemma 4 E2B’s 1.5s response time and Llama’s higher accuracy highlights that model selection must align with specific latency and reliability requirements to avoid broken dashboard rendering.

Key Insights

• Llama 3.1 8B achieved 87.5% accuracy (28/32) in chart correctness, leading the 2026 benchmark for standard KPI visualizations.
• Qwen 2.5 7B outperformed competitors in multilingual tasks, correctly processing 26/32 Turkish prompts compared to Llama’s 22/32.
• Gemma 4 E2B is the latency leader, delivering responses in ~1.5s on GPU/Apple Silicon, making it optimal for real-time interactive UI components.
• Structured output consistency remains a critical bottleneck, as models often produce conversational text instead of the valid configuration required for rendering engines.
• Edge case failures frequently occur when models misidentify date columns as categorical data or fail to handle null values within complex queries.

Practical Applications

• Use case: Interactive dashboard generation using Gemma 4 E2B for sub-2-second responsiveness in high-engagement environments. Pitfall: Misidentifying date columns as categorical data, causing rendering errors in time-series analysis.
• Use case: Deploying Qwen 2.5 7B for global analytics platforms requiring high-accuracy Turkish or multi-language prompt support. Pitfall: Relying on English-first models like Llama for non-English teams, which results in a significant drop in intent detection accuracy.

References:

• https://dev.to/rtulunay/12-ai-models-tested-which-one-generates-the-best-business-charts-b6j