---
title: "LLMs — Technology data 2026"
url: https://survey.stackoverflow.co/2026/technology/data/llm
year: 2026
chapter: "technology"
question: "LLM"
section: "Most popular technologies"
licence: "ODbL 1.0 (https://opendatacommons.org/licenses/odbl/1-0/)"
---

# LLMs

Most everyone uses Anthropic and OpenAI models, open-weight models from DeepSeek and Alibaba Qwen models are being used more, too.

Asked as: Which LLM model vendors for AI tools have you used for work in the past year? Which would you like to use next year? Select all that apply. (`LLM`, scale, optional, v2026.1)

## Options offered

1. OpenAI
2. Anthropic
3. Google AI
4. Meta AI
5. Mistral AI
6. Voyage AI (MongoDB)
7. Cohere
8. Microsoft
9. xAI
10. DeepSeek
11. Databricks (DBRX)
12. Moonshot AI
13. Black Forest Labs
14. Alibaba Qwen
15. Snowflake
16. Stability AI
17. Reka
18. 01.AI
19. Zhipu AI
20. Guide Labs
21. Cascade
22. Luel
23. Other, please specify (with free-text entry)

## Results

### All Respondents

n = 11,895

|  | Respondents | Percent |
| --- | ---: | ---: |
| Anthropic | 8,871 | 74.6% |
| OpenAI | 8,834 | 74.3% |
| Google AI | 6,483 | 54.5% |
| Microsoft | 3,142 | 26.4% |
| DeepSeek | 2,253 | 18.9% |
| Alibaba Qwen | 1,203 | 10.1% |
| Mistral AI | 1,162 | 9.8% |
| xAI | 906 | 7.6% |
| Meta AI | 754 | 6.3% |
| Moonshot AI | 479 | 4.0% |
| Other | 427 | 3.6% |
| Zhipu AI | 263 | 2.2% |
| Snowflake | 234 | 2.0% |
| Databricks (DBRX) | 194 | 1.6% |
| Black Forest Labs | 120 | 1.0% |
| Cohere | 112 | 0.9% |
| Stability AI | 102 | 0.9% |
| Voyage AI (MongoDB) | 92 | 0.8% |
| Cascade | 82 | 0.7% |
| 01.AI | 56 | 0.5% |
| Luel | 41 | 0.3% |
| Guide Labs | 39 | 0.3% |
| Reka | 39 | 0.3% |
| Minimax | 13 | 0.1% |
| GLM | 4 | 0.0% |

### 1 - 5 yrs work exp

n = 2,627

|  | Respondents | Percent |
| --- | ---: | ---: |
| Anthropic | 1,876 | 71.4% |
| OpenAI | 2,096 | 79.8% |
| Google AI | 1,533 | 58.4% |
| Microsoft | 579 | 22.0% |
| DeepSeek | 707 | 26.9% |
| Alibaba Qwen | 299 | 11.4% |
| Mistral AI | 277 | 10.5% |
| xAI | 253 | 9.6% |
| Meta AI | 242 | 9.2% |
| Moonshot AI | 158 | 6.0% |
| Other | 88 | 3.3% |
| Zhipu AI | 98 | 3.7% |
| Snowflake | 48 | 1.8% |
| Databricks (DBRX) | 45 | 1.7% |
| Black Forest Labs | 38 | 1.4% |
| Cohere | 33 | 1.3% |
| Stability AI | 43 | 1.6% |
| Voyage AI (MongoDB) | 34 | 1.3% |
| Cascade | 28 | 1.1% |
| 01.AI | 23 | 0.9% |
| Luel | 19 | 0.7% |
| Guide Labs | 18 | 0.7% |
| Reka | 18 | 0.7% |
| Minimax | 3 | 0.1% |

### 6 - 15 yrs work exp

n = 4,126

|  | Respondents | Percent |
| --- | ---: | ---: |
| Anthropic | 3,216 | 77.9% |
| OpenAI | 3,103 | 75.2% |
| Google AI | 2,115 | 51.3% |
| Microsoft | 985 | 23.9% |
| DeepSeek | 693 | 16.8% |
| Alibaba Qwen | 406 | 9.8% |
| Mistral AI | 367 | 8.9% |
| xAI | 280 | 6.8% |
| Meta AI | 215 | 5.2% |
| Moonshot AI | 150 | 3.6% |
| Other | 125 | 3.0% |
| Zhipu AI | 70 | 1.7% |
| Snowflake | 91 | 2.2% |
| Databricks (DBRX) | 68 | 1.6% |
| Black Forest Labs | 32 | 0.8% |
| Cohere | 37 | 0.9% |
| Stability AI | 25 | 0.6% |
| Voyage AI (MongoDB) | 26 | 0.6% |
| Cascade | 25 | 0.6% |
| 01.AI | 13 | 0.3% |
| Luel | 8 | 0.2% |
| Guide Labs | 10 | 0.2% |
| Reka | 9 | 0.2% |
| Minimax | 4 | 0.1% |

### 16+ yrs work exp

n = 4,587

|  | Respondents | Percent |
| --- | ---: | ---: |
| Anthropic | 3,450 | 75.2% |
| OpenAI | 3,220 | 70.2% |
| Google AI | 2,496 | 54.4% |
| Microsoft | 1,473 | 32.1% |
| DeepSeek | 688 | 15.0% |
| Alibaba Qwen | 434 | 9.5% |
| Mistral AI | 445 | 9.7% |
| xAI | 318 | 6.9% |
| Meta AI | 230 | 5.0% |
| Moonshot AI | 134 | 2.9% |
| Other | 193 | 4.2% |
| Zhipu AI | 63 | 1.4% |
| Snowflake | 82 | 1.8% |
| Databricks (DBRX) | 72 | 1.6% |
| Black Forest Labs | 37 | 0.8% |
| Cohere | 34 | 0.7% |
| Stability AI | 25 | 0.5% |
| Voyage AI (MongoDB) | 25 | 0.5% |
| Cascade | 22 | 0.5% |
| 01.AI | 11 | 0.2% |
| Luel | 7 | 0.2% |
| Guide Labs | 5 | 0.1% |
| Reka | 6 | 0.1% |
| Minimax | 5 | 0.1% |
| GLM | 4 | 0.1% |

In context: https://survey.stackoverflow.co/2026/technology/data.md