Question 1

What are the most common uses for image captioning?

Accepted Answer

Generating alt text for accessibility, tagging and searching media libraries, product description generation for e-commerce, content moderation pipelines, and as a preprocessing step feeding into larger AI workflows.

Question 2

Which industries use image captioning most?

Accepted Answer

How is captioning different from open prompt?

Question 3

How is captioning different from open prompt?

Accepted Answer

Captioning generates a general description of an image with no input from you. Open prompt lets you ask specific questions or direct the model to focus on something particular.

Question 4

How are models ranked here?

Accepted Answer

Rankings are based on human preference votes in the Captioning Arena. Users see two captions side by side and vote on which is more accurate and useful.

Question 5

Can I test these models on my own images?

Accepted Answer

Yes. Open the Captioning Playground, select the models you want to compare, and upload an image.


1	Gemini 2.5 Pro	multimodal	1278	5	21.10 s	Google
2	Qwen3 VL 235B A22B Instruct	multimodal	1246	3	11.54 s	Qwen
3	Gemini 2.5 Flash	multimodal	1245	5	10.85 s	Google
4	Qwen VL Max	multimodal	1245	3	12.32 s	Qwen
5	Claude Opus 4.1	multimodal	1236	5	12.21 s	Anthropic
6	Gemma 3 27B	multimodal	1223	3	8.91 s	Google
7	Qwen3.5 9b	multimodal	1223	2	28.26 s	Qwen
8	Qwen3.5 122B A10B	multimodal	1222	3	22.27 s	Qwen
9	Gemma 3 4B	multimodal	1221	3	10.40 s	Google
10	Gemini 3 Flash	multimodal	1213	5	7.16 s	Google
11	GPT-5.2	multimodal	1212	5	10.50 s	OpenAI
12	Claude Haiku 4.5	multimodal	1212	5	5.13 s	Anthropic
13	Gemma 3 12B	multimodal	1212	3	9.46 s	Google
14	Gemini 3.1 Pro	multimodal	1211	4	17.18 s	Google
15	Qwen3 VL 30B A3B Instruct	multimodal	1211	3	6.57 s	Qwen
16	Grok 4	multimodal	1203	3	14.47 s	xAI
17	Llama 4 Maverick	multimodal	1201	3	3.75 s	Meta
18	GPT-5.5	multimodal	1200	2	9.80 s	OpenAI
19	Claude Sonnet 4.6	multimodal	1200	5	5.36 s	Anthropic
20	Pixtral 12B	multimodal	1200	3	15.05 s	Mistral
21	Claude Sonnet 4.5	multimodal	1200	5	10.91 s	Anthropic
22	GPT-5 Mini	multimodal	1200	5	12.71 s	OpenAI
23	Gemma 4 31B	multimodal	1199	4	70.55 s	Google
24	Gemma 4 26B A4B	multimodal	1198	4	6.71 s	Google
25	GPT-5	multimodal	1192	5	18.48 s	OpenAI
26	Claude Opus 4.6	multimodal	1190	5	6.20 s	Anthropic
27	Mistral Medium 3.1	multimodal	1190	3	4.09 s	Mistral
28	Qwen3 VL 8B Instruct	multimodal	1189	3	3.35 s	Qwen
29	Qwen3.6 35B A3B	multimodal	1188	4	17.97 s	Qwen
30	Qwen3.5 397B A17B	multimodal	1188	3	23.40 s	Qwen
31	Mistral Small 3.1 24B	multimodal	1188	3	6.00 s	Mistral
32	Qwen3.5 27B	multimodal	1188	3	14.42 s	Qwen
33	GPT-5.1	multimodal	1188	5	9.79 s	OpenAI
34	Claude Opus 4.7	multimodal	1186	5	8.95 s	Anthropic
35	Llama 3.2 Vision 11b	multimodal	1184	4	11.87 s	Meta
36	Gemini 2.5 Flash-Lite	multimodal	1179	5	2.10 s	Google
37	Claude Opus 4.5	multimodal	1178	5	6.34 s	Anthropic
38	Llama 4 Scout	multimodal	1168	3	5.63 s	Meta
39	Qwen2.5 VL 7B Instruct	multimodal	1154	3	6.34 s	Qwen
40	Florence-2	multimodal	1144	3	5.94 s	Microsoft
41	GPT-5 Nano	multimodal	1133	5	17.11 s	OpenAI

Captioning Model Rankings