# Technical Document Extraction: Heatmap Analysis
## Title
"Pressure Testing DeepSeek-V3 128K Context via 'Needle In A HayStack'"
## Axes and Labels
- **X-Axis**:
- Label: `Context Length (#Tokens)`
- Markers: `2K`, `11K`, `20K`, `29K`, `38K`, `47K`, `56K`, `65K`, `74K`, `83K`, `92K`, `101K`, `110K`, `119K`, `128K`
- Range: `2K` to `128K` (increasing in ~9K increments)
- **Y-Axis**:
- Label: `Document Depth Percent (%)`
- Markers: `0`, `7`, `14`, `21`, `29`, `36`, `43`, `50`, `57`, `64`, `71`, `79`, `86`, `93`, `100`
- Range: `0%` to `100%` (increasing in ~7% increments)
- **Colorbar**:
- Label: `Score`
- Range: `1` (red) to `10` (green)
- Gradient: Red → Yellow → Green (low to high scores)
## Chart Type and Observations
- **Heatmap**:
- Entire grid is uniformly colored in **bright green**, indicating **maximum scores (10)** across all data points.
- No variation in color intensity observed, suggesting consistent performance metrics for all combinations of context length and document depth.
## Key Trends
1. **Score Consistency**:
- All context lengths (2K–128K tokens) and document depths (0%–100%) achieve the highest possible score (`10`).
- No degradation in performance at extreme values (e.g., 128K tokens or 100% depth).
2. **Color Interpretation**:
- Green dominance confirms optimal performance under all tested conditions.
- No red/yellow regions to indicate suboptimal scores.
## Technical Notes
- The heatmap visualizes the relationship between **context length** (input size) and **document depth** (retrieval depth) for the DeepSeek-V3 model.
- The uniform green color implies the model maintains high accuracy or relevance across all tested scenarios.
- No explicit data table is present; the heatmap serves as the sole data representation.
## Conclusion
The visualization demonstrates that DeepSeek-V3 128K context performs consistently at maximum capacity (`Score = 10`) regardless of input size or retrieval depth. This suggests robustness in handling large-scale context and deep document traversal.