Model reference · open weights
kanana-1.5-v is an open-weight language model from kakaocorp. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | kakaocorp |
|---|---|
| Type | Language models |
| Task | Vision + text |
| Parameters (lead) | 3.7B |
| Context | 32k tokens |
| Runs with | transformers |
| Based on | kakaocorp/kanana-1.5-v-3b-instruct |
| Released | 2025-07-23 |
| Popularity | 28k downloads / month |
| Licence | Commercial licence needed |
About
🤗 1.5 HF Models   |   📕 Blog  
The Unified Foundation Model (UFO) task force of Kanana at Kakao developed and released the Kanana-V family of multimodal large language models (MLLMs), a collection of pretrained text/image-to-text (TI2T) models.
kanana-1.5-v-3b-instruct is intended for research and application development in multimodal understanding and text generation tasks. Typical use cases include image captioning, document understanding, OCR-based reasoning, and multimodal instruction following in both English and Korean. The model is optimized for both general-purpose and Korea-specific benchmarks, making it suitable for bilingual environments.
| Model | LLM | Total Parameter |
|---|---|---|
| kanana-1.5-v-3b-instruct | kanana-1.5-3b-instruct | 3.67B |
| HCX-SEED-Vision-3B | HyperCLOVAX-SEED-Text-Base-3B | 3.72B |
| Phi-3-Vision | Phi-3-Mini | 4.15B |
| Qwen2.5-VL-3B-Instruct | Qwen2.5-3B | 3.75B |
| InternVL2.5-4B | Qwen2.5-3B-Instruct | 3.94B |
| Model | All | Image (EN) | Image (KO) | IF (EN, KO) |
|---|---|---|---|---|
| kanana-1.5-v-3b-instruct | 73.22 | 74.00 | 68.27 | 77.39 |
| HCX-SEED-Vision-3B | 59.00 | 64.81 | 51.96 | 60.23 |
| Phi-3-Vision | 48.84 | 65.41 | 36.40 | 44.71 |
| Qwen2.5-VL-3B-Instruct | 63.54 | 73.97 | 60.60 | 56.04 |
| InternVL2.5-4B | 61.35 | 74.73 | 54.68 | 54.63 |
| Model | average | MMMU (Val) | MathVista | DocVQA | ChartQA | OCRBench | InfoVQA | TextVQA | RealWorldQA | MMStar | MMB | SEED-image | MMVet | LLaVA-Wild | scienceqa | AI2D |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| kanana-1.5-v-3b-instruct | 74.00 | 43.89 | 56.00 | 93.06 | 81.20 | 82.50 | 73.62 | 78.62 | 65.36 | 56.32 | 78.44 | 75.17 | 65.87 | 89.60 | 95.61 | 74.81 |
| HCX-SEED-Vision-3B | 64.81 | 38.89 | 47.40 | 79.87 | 71.88 | 62.90 | 55.59 | 73.51 | 62.48 | 46.66 | 72.42 | 74.84 | 47.27 | 79.30 | 86.84 | 72.31 |
| Phi-3-Vision | 65.41 | 45.33 | 43.60 | 87.04 | 81.40 | 63.60 | 54.80 | 69.61 | 59.08 | 47.47 | 73.37 | 71.69 | 45.96 | 70.40 | 90.84 | 76.98 |
| Qwen2.5-VL-3B-Instruct | 73.97 | 50.67 | 62.00 | 94.19 | 83.60 | 79.10 | 77.22 | 77.77 | 59.74 | 56.26 | 77.75 | 74.83 | 61.06 | 96.90 | 79.69 | 78.79 |
| InternVL2.5-4B | 74.73 | 52.33 | 61.80 | 92.13 | 82.76 | 79.20 | 69.73 | 78.24 | 62.88 | 59.72 | 81.96 | 75.59 | 61.38 | 86.30 | 97.14 | 79.83 |
| Model | average | KoOCRBench | KoMMDBench | KoChartTask | KoMathSolution | KoCosMed | KoFoodMenu | KoEntity | KoExam | KoCelebV2 |
|---|---|---|---|---|---|---|---|---|---|---|
| kanana-1.5-v-3b-instruct | 68.27 | 85.93 | 74.00 | 84.96 | 36.88 | 87.58 | 70.84 | 72.04 | 58.99 | 43.24 |
| HCX-SEED-Vision-3B | 51.96 | 32.91 | 64.57 | 73.55 | 27.88 | 78.16 | 57.08 | 64.12 | 31.82 | 37.58 |
| Phi-3-Vision | 36.40 | 25.13 | 37.93 | 52.36 | 38.75 | 56.75 | 34.70 | 31.71 | 24.05 | 26.25 |
| Qwen2.5-VL-3B-Instruct | 60.60 | 50.67 | 61.75 | 84.96 | 47.13 | 82.01 | 66.32 | 58.15 | 60.68 | 33.72 |
| InternVL2.5-4B | 54.68 | 20.52 | 62.65 | 82.61 | 46.50 | 82.66 | 65.09 | 50.42 | 47.43 | 34.23 |
| Model | average | MIABench | MIABench-Ko | MM-IFEval | MM-OmniAlign | |----------------------------|--
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys kanana-1-5-v for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (kanana-1-5-v below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"kanana-1-5-v","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.