# Technical Document Extraction: Performance Heatmap Analysis
## 1. Document Overview
This image is a technical heatmap visualizing the relationship between **Context length** and **Token Limit** relative to a performance **Score**. The chart uses a color gradient to represent numerical values, typically used in Large Language Model (LLM) "Needle In A Haystack" or context window evaluations.
## 2. Component Isolation
### A. Header / Metadata
* **Language:** English.
* **Primary Axis Labels:** "Context length" (Y-axis) and "Token Limit" (X-axis).
### B. Main Chart (Heatmap Grid)
* **X-Axis (Token Limit):** Represents numerical values ranging from 1,000 to 32,000.
* **Markers:** 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 11000, 12000, 13000, 14000, 15000, 16000, 17000, 18000, 19000, 20000, 21000, 22000, 23000, 24000, 25000, 26000, 27000, 28000, 29000, 30000, 31000, 32000.
* **Y-Axis (Context length):** Represents percentage-based or indexed values from 0.0 to 100.0.
* **Markers:** 0.0, 5.0, 11.0, 16.0, 21.0, 26.0, 32.0, 37.0, 42.0, 47.0, 53.0, 58.0, 63.0, 68.0, 74.0, 79.0, 84.0, 89.0, 95.0, 100.0.
### C. Legend (Color Scale)
* **Location:** Right side of the chart.
* **Label:** "Score"
* **Scale:** 0 to 10.
* **Color Mapping:**
* **Bright Green (Value 10):** Perfect/High performance.
* **Yellow/Gold (Value ~5-6):** Moderate performance.
* **Orange (Value ~3-4):** Low performance.
* **Pink/Red (Value 0-2):** Failure/Very low performance.
---
## 3. Trend Verification and Data Extraction
### Visual Trend Analysis
1. **High Performance Zone (Green):** There is a distinct vertical band of green on the far left (Token Limits 1,000 to 4,000) across almost all context lengths. There is also a horizontal band of green at the very bottom (Context length 100.0) across almost all token limits.
2. **Degradation Zone (Orange/Red):** As the Token Limit increases beyond 4,000, the performance drops sharply into the orange (score ~3) and pink (score ~1) range.
3. **Inconsistency:** The central area of the map is predominantly orange, interspersed with "noise" or specific failure points (pink) and occasional moderate successes (yellow).
### Key Data Observations
| Region | Token Limit Range | Context Length Range | Dominant Color | Estimated Score |
| :--- | :--- | :--- | :--- | :--- |
| **Initial Success** | 1,000 - 4,000 | 0.0 - 100.0 | Green | 10 |
| **Base Success** | 1,000 - 32,000 | 100.0 | Green | 10 |
| **General Failure** | 5,000 - 32,000 | 0.0 - 95.0 | Orange/Pink | 1 - 4 |
### Specific Anomalies (Yellow/Gold "Moderate" Points)
Occasional yellow blocks (Score ~5-7) appear sporadically in the "failure" zone, notably at:
* **Token Limit 16,000 - 17,000:** Scattered yellow blocks across various context lengths.
* **Token Limit 21,000:** A vertical cluster of yellow blocks between context lengths 26.0 and 53.0.
* **Token Limit 31,000 - 32,000:** Several yellow blocks at the upper context lengths.
### Specific Failures (Pink "Low" Points)
Vertical bands of pink (Score ~0-1) are visible, suggesting systematic failure at specific token limits regardless of context length:
* **Token Limit 5,000:** Almost entirely pink/red.
* **Token Limit 10,000:** Almost entirely pink/red.
* **Token Limit 29,000:** Almost entirely pink/red.
---
## 4. Summary of Findings
The data indicates a model that performs perfectly at very low token limits (under 4,000) or when the "needle" is at the very end of the context (100.0 length). However, for the vast majority of the tested space (Token limits > 4,000 and context positions < 100.0), the model exhibits significant performance degradation, with specific "dead zones" occurring at intervals of 5,000, 10,000, and 29,000 tokens.
