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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%.

Kelompokkan berdasarkan:

Urutkan berdasarkan:

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

Pengalaman

  • <span aria-hidden="true">🤓</span> Sudah pakai: Responden yang sudah pakai.
  • <span aria-hidden="true">👀</span> Pernah dengar: Responden yang sudah dengar, tetapi belum pernah pakai.
  • <span aria-hidden="true">🤷</span> Belum pernah dengar: Responden yang belum pernah dengar.

Sentimen

  • Positif: Responden yang tertarik untuk belajar tentang sebuah teknologi; atau yang ingin menggunakannya lagi.
  • Netral: Responden yang tidak memiliki sentimen akan sebuah teknologi.
  • Negatif: Responden yang tidak tertarik untuk belajar tentang sebuah teknologi; atau yang sudah pernah pakai dan memiliki pengalaman negatif.
💡
Anda dapat mengklik nama teknologi mana pun untuk mendapatkan informasi tambahan dan penjelasan yang lebih mendalam pada data yang serupa.
What other models are you currently using?
(Pertanyaan bebas)
Multiple
0%
20%
40%
60%
80%
100%
9

Lainnya

Jawaban yang cocok dengan “Lainnya” 231
0%
20%
40%
60%
80%
100%
% dari pertanyaan responden

Number of Items

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

8

145
10

9

40
0%
4%
7%
11%
14%
18%
% dari responden survei

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?
(Pertanyaan bebas)
Multiple
0%
20%
40%
60%
80%
100%
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

0%
20%
40%
60%
80%
100%
% dari pertanyaan responden