# Best LLM for High-Volume Extraction

> Updated Oct 21, 2026 · evidence through Oct 21, 2026. Synthesized from cited community evidence and open benchmarks, not vendor marketing. Canonical page: https://modelmatchbook.com/best/extraction-scale

DeepSeek V4.1 Flash is the provisional first pick for High-Volume Extraction as of October 21, 2026, while independent task measurements are still limited. It scores 79.25% on LiveBench Data Analysis (#14 of 59), including table joining and reformatting tasks. Qwen3.8 27B is the next-ranked alternative. It scores 76.59% on LiveBench Data Analysis (#24 of 59), including table joining and reformatting tasks. [1,2]

## 1. DeepSeek V4.1 Flash
https://modelmatchbook.com/models/deepseek/deepseek-v4.1-flash-20260910

DeepSeek V4.1 Flash scores 79.25% on LiveBench Data Analysis (#14 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [1]

## 2. Qwen3.8 27B
https://modelmatchbook.com/models/qwen/qwen3.8-27b-20260814

Qwen3.8 27B scores 76.59% on LiveBench Data Analysis (#24 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [2]

## 3. GLM 5.3 Flash
https://modelmatchbook.com/models/z-ai/glm-5.3-flash-20260826

GLM 5.3 Flash scores 76.4% on LiveBench Data Analysis (#27 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [3]

## 4. GLM 5.2
https://modelmatchbook.com/models/z-ai/glm-5.2-20260616

GLM 5.2 scores 73.74% on LiveBench Data Analysis (#33 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [4]

## 5. DeepSeek V4 Flash Vision Exp
https://modelmatchbook.com/models/deepseek/deepseek-v4-flash-vision-exp-20260821

DeepSeek V4 Flash Vision Exp scores 79.48% on LiveBench Data Analysis (#10 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [5]

## 6. Kimi K3
https://modelmatchbook.com/models/moonshotai/kimi-k3-20260715

Kimi K3 scores 78.73% on LiveBench Data Analysis (#16 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [6]

## 7. GPT-6 Luna
https://modelmatchbook.com/models/openai/gpt-6-luna-20260922

GPT-6 Luna scores 73.37% on LiveBench Data Analysis (#34 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [7]

## 8. DeepSeek V4 Flash 0731
https://modelmatchbook.com/models/deepseek/deepseek-v4-flash-20260731

DeepSeek V4 Flash 0731 scores 79.33% on LiveBench Data Analysis (#11 of 59), including table joining and reformatting tasks.

**Best when:** Its strongest result for this task is on LiveBench Data Analysis, which measures working with tables and structured data. [8]

## FAQ

**What is the best model for High-Volume Extraction?**

DeepSeek V4.1 Flash ranks first as of October 21, 2026. DeepSeek V4.1 Flash scores 79.25% on LiveBench Data Analysis (#14 of 59), including table joining and reformatting tasks. [1]

**What is the best alternative to DeepSeek V4.1 Flash?**

Qwen3.8 27B ranks second. Qwen3.8 27B scores 76.59% on LiveBench Data Analysis (#24 of 59), including table joining and reformatting tasks. [2]

**Can I self-host the top pick for High-Volume Extraction?**

Yes. DeepSeek V4.1 Flash is open-weight, so it can run on your own hardware as well as through hosted routes. [1]

## Sources
1. "Within the 59 catalog models matched to this evaluation: Scores 79.25% on LiveBench Data Analysis (#14 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
2. "Within the 59 catalog models matched to this evaluation: Scores 76.59% on LiveBench Data Analysis (#24 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
3. "Within the 59 catalog models matched to this evaluation: Scores 76.4% on LiveBench Data Analysis (#27 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
4. "Within the 59 catalog models matched to this evaluation: Scores 73.74% on LiveBench Data Analysis (#33 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
5. "Within the 59 catalog models matched to this evaluation: Scores 79.48% on LiveBench Data Analysis (#10 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
6. "Within the 59 catalog models matched to this evaluation: Scores 78.73% on LiveBench Data Analysis (#16 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
7. "Within the 59 catalog models matched to this evaluation: Scores 73.37% on LiveBench Data Analysis (#34 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)
8. "Within the 59 catalog models matched to this evaluation: Scores 79.33% on LiveBench Data Analysis (#11 of 59), including table joining and reformatting tasks." (LiveBench Data Analysis, https://livebench.ai/)