# Technical Document Extraction: DeepSeek-V3 Needle In A Haystack Performance
## 1. Header Information
* **Title:** Pressure Testing DeepSeek-V3 128K Context via "Needle In A HayStack"
* **Subject:** Large Language Model (LLM) context window retrieval performance.
* **Model Tested:** DeepSeek-V3.
* **Maximum Context Tested:** 128,000 tokens (128K).
## 2. Chart Component Analysis
### A. Main Chart Area (Heatmap)
* **Type:** Heatmap visualization.
* **X-Axis (Horizontal):** Context Length (#Tokens).
* **Range:** 2K to 128K.
* **Markers:** 2K, 11K, 20K, 29K, 38K, 47K, 56K, 65K, 74K, 83K, 92K, 101K, 110K, 119K, 128K.
* **Y-Axis (Vertical):** Document Depth Percent (%).
* **Range:** 0% to 100%.
* **Markers:** 0, 7, 14, 21, 29, 36, 43, 50, 57, 64, 71, 79, 86, 93, 100.
* **Grid:** A fine dotted grid overlaying the heatmap area, corresponding to the axis markers.
### B. Legend (Spatial Grounding: Right Side)
* **Label:** Score
* **Scale:** 1 to 10.
* **Color Gradient:**
* **10 (Top):** Bright Green / Teal (#10b981 equivalent).
* **7-8 (Middle-High):** Yellow-Green.
* **5-6 (Middle):** Yellow / Orange.
* **1 (Bottom):** Red / Pink.
## 3. Data Extraction and Trend Verification
### Trend Analysis
The heatmap displays a uniform, solid block of color across the entire grid.
* **Visual Observation:** Every cell in the 15x15 grid (representing the intersection of all tested context lengths and all document depths) is colored in the bright teal/green associated with the highest score on the legend.
* **Trend Verification:** There is zero variance in performance. The "line" of performance across any depth or any context length is perfectly flat at the maximum value.
### Data Points
| Metric | Value |
| :--- | :--- |
| **Minimum Score Observed** | 10 |
| **Maximum Score Observed** | 10 |
| **Average Score** | 10 |
| **Retrieval Accuracy** | 100% (indicated by the uniform score of 10) |
## 4. Technical Summary
The image represents a "perfect" result for the Needle In A Haystack pressure test.
* **Context Handling:** DeepSeek-V3 demonstrates 100% retrieval accuracy across its entire 128K token context window.
* **Depth Independence:** The model's ability to retrieve information (the "needle") is not affected by where that information is placed within the document (the "haystack"), whether it is at the very beginning (0%), the middle (50%), or the very end (100%).
* **Scale Independence:** Performance does not degrade as the context length increases from 2K tokens to the maximum 128K tokens.
**Conclusion:** The data indicates that DeepSeek-V3 possesses a robust long-context recall capability, maintaining peak performance (Score 10) across all tested parameters.
