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Model Providers

The foundation on which the entire ecosystem is built.

Models Experience & Sentiment

It should be no surprise that OpenAI's ChatGPT still benefits from its first-mover advantage and large mindshare, making it both the most-used (91.2%) and most-loved (53.1%) model provider.

But while it does possess a large lead in terms of usage, runner-up Claude is not very far behind in terms of positive sentiment with 45.9%.

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91.2%
6%
4,138
57%
34.5%
7.5%
4,136
55.1%
43%
4,137
54.6%
43.1%
4,138
44.1%
52.7%
4,136

Experience

  • Used it: Respondents who have used an item.
  • Heard of it: Respondents who have heard about an item, but haven't used it.
  • Never heard of it: Respondents who have never heard about an item.

Sentiment

  • Positive: Respondents who are interested in learning more about a technology; or are willing to use it again.
  • Neutral: Responents who did not indicate any sentiment about a technology.
  • Negative: Respondents who are not interested in learning more about a technology; or have used it and had a negative experience.
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技術名をクリックすると、その技術の詳細や、より細かい関連データを見られます。
What other models are you currently using?
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9

Other Answers

Answers matching “Other Answers” 231
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回答数に占める割合(%)

How many items in this category respondents have used.

0%
4%
7%
11%
14%
18%
1

0

172
2

1

355
3

2

628
4

3

732
5

4

731
6

5

613
7

6

456
8

7

309
9

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145
10

9

40
0%
4%
7%
11%
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18%
%の質問回答数

Model Providers Pain Points

Hallucinations & inaccuracies were by far the biggest pain point with AI models reported by respondents, which makes sense as these tools lose all utility if their output can't be relied on.

The lack of ability to handle larger contexts and keep data in memory was also a big issue, especially when it comes to dealing with large, real-world codebases.

Which pain points have you encountered when using AI models?
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Multiple
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1

Hallucination & inaccuracies

2

Context & memory limitations

3

Poor generated code quality

4

Lack of prompt understanding

5

Poor response quality

6

Difficulties enginering prompts

7

Slow response time

8

High monetary cost

9

Outdated knowledge

10

Limited reasoning ability

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回答数に占める割合(%)