LLaVA 1.6 Vicuna 13B
llava-1-6-vicuna-13bLLaVA 1.6 (LLaVA-NeXT) with a Vicuna-13B language backbone. Open vision-language chat model that describes images, answers questions, reads charts and reasons about scenes. Version 1.6 adds higher input resolution and better OCR and reasoning than LLaVA 1.5.
- Price
- ≈ $0.1021/run
- Context
- 4,096 tokens
- Max. output
- 1,024 tokens
- Input → output
- Text + Image → Text
- Developer
- Community
- Updated
- September 23, 2026
Playground
Try LLaVA 1.6 Vicuna 13B
Input & output
This run
about $0.1021 · 10.21 credits
$0.3061 (30.61 credits) are reserved at the start; the actual GPU time is billed.
For accounts without a purchase: runs above 2 credits need a top-up.
New here?
10 free credits ($0.10) when you sign up with Google
Usable 24 hours after sign-up, up to 5 runs per day and at most 2 credits per run. Other sign-in methods start without credits.
Examples
InputPrompt
What should I take into account when visiting this place?
Response
When visiting a place like the one shown in the image, which appears to be a serene lake with a dock and surrounded by mountains and forests, you should consider the following: 1. **Weather Conditions**: Be prepared for the local weather. It can change rapidly, especially in mountainous areas, so check the forecast and dress in layers. 2. **Safety**: If you plan to go on the water, make sure you have a life jacket and know how to swim. If you're not a strong swimmer, consider wearing a life jacket even if you're just walking along the shore. 3. **Wildlife**: Be aware of the local wildlife and maintain a safe distance. Do not feed the animals, as this can disrupt their natural behavior and diet. 4. **Leave No Trace**: Respect the environment by not littering and by staying on designated paths or trails. 5. **Emergency Preparedness**: Have a first aid kit and know basic first aid. It's also a good idea to have a way to contact emergency services if needed. 6. **Navigation**: If you're going into the woods or on the water, have a map or GPS device and know how to use it. 7. **Hydration and Nutrition**: Bring enough water and food for your visit, especially if you'll be active. 8. **Clothing and Gear**: Wear appropriate clothing for the weather and activities you plan to do. Bring sturdy footwear if you plan to hike or walk on uneven terrain. 9. **Local Regulations**: Follow any posted rules or regulations, which might include fishing regulations, fire restrictions, or…
InputPrompt
What is unusual about this image?
Response
The image shows a person ironing clothes on the back of a moving vehicle, which is an unusual and potentially dangerous activity. Ironing clothes while a vehicle is in motion can be hazardous for the person doing the ironing as well as for other road users. The person is at risk of losing balance and falling off the vehicle, which could result in serious injury. Additionally, the iron could potentially cause a fire or damage to the vehicle or its surroundings if it overheats or malfunctions. This scene is not a safe or typical way to iron clothes and is likely staged for comedic or dramatic effect.
About LLaVA 1.6 Vicuna 13B
LLaVA 1.6 Vicuna 13B is a model by Community in the Multimodal category. On Railwail, LLaVA 1.6 Vicuna 13B costs ≈ $0.1021 per run. The context window holds 4,096 tokens, and one response can be up to 1,024 tokens long.
Pricing
| Typical run (≈ 87 s on L40S) | $0.1021 per run |
|---|---|
| GPU time (L40S) | $0.00117 per GPU second |
- Billed by the GPU time the run actually takes. When the run starts, 3× the typical price is reserved from your balance and settled afterwards.
- 1 credit = $0.01
Cost calculator
Price calculator
Typical according to the provider: about 87.2 s
Total
$10.21
1,021 credits
Per run
$0.1021 · 10.21 credits
Billed by the actual GPU time; this is an estimate.
API
No verified API example
The public API passes a different input format than this model needs. Use the playground above.
Specifications
- Model ID
llava-1-6-vicuna-13b- Developer
- Community
- Category
- Multimodal
- Input
- Text, Image
- Output
- Text
- Context window
- 4,096 tokens
- Max. output
- 1,024 tokens
- Billing
- By usage (tokens or GPU time)
- Catalog entry updated
- September 23, 2026
Input parameters
Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.
imagerequiredImage to analyze
Type: TextDefault: –Allowed values: –promptrequiredQuestion or instruction about the image
Type: TextDefault:Describe this image in detail.Allowed values: up to 4,000 characterstop_pType: NumberDefault:1Allowed values: 0 to 1max_tokensType: IntegerDefault:512Allowed values: 1 to 1,024temperatureType: NumberDefault:0.2Allowed values: 0 to 2
Tags
- replicate
- llava
- captioning
- vqa
- vision-understanding
- open-weights
- image
Frequently asked questions
What is LLaVA 1.6 Vicuna 13B?
LLaVA 1.6 Vicuna 13B is a model by Community in the Multimodal category.
How much does LLaVA 1.6 Vicuna 13B cost on Railwail?
On Railwail, LLaVA 1.6 Vicuna 13B costs ≈ $0.1021 per run. You are charged for what each request actually uses. Usage is paid from prepaid credits; 1 credit equals $0.01.
What is the context window of LLaVA 1.6 Vicuna 13B?
The context window of LLaVA 1.6 Vicuna 13B holds 4,096 tokens. One response can be up to 1,024 tokens long.
How fast is LLaVA 1.6 Vicuna 13B?
There are not enough measured runs of LLaVA 1.6 Vicuna 13B on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.
Is LLaVA 1.6 Vicuna 13B better than BLIP?
That depends on the task. LLaVA 1.6 Vicuna 13B (Community) and BLIP (Salesforce) are both models in the Multimodal category. The comparison page shows their prices and specifications side by side.
Compare LLaVA 1.6 Vicuna 13B and BLIPCan LLaVA 1.6 Vicuna 13B process images?
Yes. LLaVA 1.6 Vicuna 13B accepts images as input in addition to text.
Comparable models
All in this category- BLIPSalesforce
Salesforce BLIP. Vision-language model for image captioning and visual question answering. Given an image it writes a short natural-language caption, or answers a question about the image when one is supplied. A widely used baseline for automatic captioning.
- CLIP InterrogatorCommunity
pharmapsychotic's CLIP Interrogator. Takes an image and produces a Stable-Diffusion-style text prompt by combining BLIP captioning with CLIP to rank likely subjects, artists, mediums and styles. Commonly used to reverse-engineer a prompt from an existing picture.
- Depth Anything v2Community
Monocular depth-estimation model trained on 595k labeled and 62M unlabeled images. Strong zero-shot generalization in indoor and outdoor scenes.
All models through one API
One API key for every model on Railwail. Usage is charged from prepaid credits, 1 credit = $0.01.