LLaVA v1.6 34B

MultimodalUnavailable
by CommunityModel ID: llava-v1-6-34b

LLaVA v1.6 on a Nous-Hermes-2 34B base, served on Replicate. Open-source vision-language assistant for image question answering, description and visual reasoning at higher resolution.

Status
Unavailable
Input โ†’ output
Text + Image โ†’ Text
Developer
Community
Updated
September 23, 2026

LLaVA v1.6 34B is currently unavailable

Currently unavailable: this model has been deactivated.

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01

Comparable models

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  • 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.

    โ‰ˆ $0.00030/run

  • Anthropic's April 2026 flagship. 87.6% on SWE-bench Verified, 3x higher image resolution, output self-verification, vision + reasoning.

    $6.00/1M in

  • Anthropic's balanced mid-tier model from February 2026. Best price/performance for production workloads: 5x cheaper than Opus, near-flagship quality.

    $3.60/1M in

02

Playground

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Input & output

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0 / 16,000

Question about the image

Image URL to analyze

Advanced settings (2)
Output
The answer appears here.

This run

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03

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
  • InputInput

    Prompt

    What's unusual about this image?

    Response

    The image shows a person ironing clothes on an ironing board that is placed on the back of a moving vehicle, specifically a yellow taxi. This is an unusual and unsafe situation for several reasons: 1. The person is performing a task that requires concentration and stability, which is difficult to maintain while on a moving vehicle. 2. The ironing board is not secured in place, which increases the risk of it falling off the vehicle, potentially causing injury to the person or others on the road. 3. The person is not wearing any protective gear, such as a harness or safety belt, which would be necessary to secure them in place while the vehicle is in motion. 4. The act of ironing clothes in such a location is impractical and not a typical setting for this activity. 5. The presence of the iron and the ironing board on the back of a moving vehicle poses a hazard to other road users, as it could fall off and cause accidents. Overall, the image depicts a dangerous and unusual situation that is not safe for the person involved or for others on the road.

  • InputInput

    Prompt

    What are the things I should be cautious about when I visit here?

    Response

    When visiting a location like the one shown in the image, which appears to be a serene lake with a dock and surrounded by forested hills, there are several things you should be cautious about: 1. Water Safety: If you plan to swim, make sure you're aware of the water conditions and any potential hazards such as currents, underwater rocks, or cold water temperatures. 2. Dock Sturdiness: Check the dock for any signs of damage or instability before stepping on it. Wooden docks can sometimes be slippery, especially if they're wet. 3. Wildlife: Be aware of the local wildlife and maintain a safe distance. Do not feed or approach animals, as this can disrupt their natural behavior and pose a risk to both you and the animals. 4. Weather Conditions: Be prepared for changes in weather. Sudden storms can occur, especially in mountainous areas, so have appropriate clothing and be ready to seek shelter if necessary. 5. Personal Safety: If you're alone, let someone know where you're going and when you expect to return. It's also a good idea to carry a charged phone in case of emergencies. 6. Leave No Trace: Respect the environment by not littering, not disturbing the natural habitat, and staying on designated paths or areas. 7. Navigation: If you're venturing into the forest or hiking, make sure you have a map or GPS device and know how to use them. It's easy to get lost in unfamiliar terrain. 8. Insects and Plants: Be cautious of insects like mosquitoes and ticks, and be aware ofโ€ฆ

04

About LLaVA v1.6 34B

TL;DRAs of September 23, 2026

LLaVA v1.6 34B is a model by Community in the Multimodal category. LLaVA v1.6 34B is currently not available on Railwail.

LLaVA v1.6 (also called LLaVA-NeXT) pairs a CLIP vision encoder with a Nous-Hermes-2 34B language model. This Replicate endpoint takes an image plus a prompt and returns answers, descriptions or reasoning grounded in the picture. Version 1.6 raised input resolution and improved OCR and chart reading over 1.5. The 34B base makes it one of the stronger fully open-source VLMs for visual question answering.
05

Pricing

Currently unavailable: this model has been deactivated. There is no price for this model at the moment, so it cannot be run.

06

API

Call LLaVA v1.6 34B with your Railwail API key. Use this model ID in the request:

No verified API example

The public API passes a different input format than this model needs. Use the playground above.

07

Specifications

Model ID
llava-v1-6-34b
Developer
Community
Category
Multimodal
Input
Text, Image
Output
Text
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.

  • promptrequired

    Question about the image

    Type: Text
    Default: โ€“
    Allowed values: up to 16,000 characters
  • image_url

    Image URL to analyze

    Type: Text
    Default: โ€“
    Allowed values: โ€“
  • max_tokens
    Type: Integer
    Default: 1024
    Allowed values: 1 to 4,096
  • temperature
    Type: Number
    Default: 0.2
    Allowed values: 0 to 2

Tags

  • replicate
  • llava
  • vision-understanding
  • open-source
  • vqa
08

Frequently asked questions

What is LLaVA v1.6 34B?

LLaVA v1.6 34B is a model by Community in the Multimodal category. It is listed on Railwail but cannot be run at the moment.

How much does LLaVA v1.6 34B cost on Railwail?

LLaVA v1.6 34B cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

Which settings does LLaVA v1.6 34B support?

According to its input schema, LLaVA v1.6 34B knows these parameters: prompt (up to 16,000 characters), image_url, max_tokens (1 to 4,096), and temperature (0 to 2).

How fast is LLaVA v1.6 34B?

There are not enough measured runs of LLaVA v1.6 34B on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is LLaVA v1.6 34B better than BLIP?

That depends on the task. LLaVA v1.6 34B (Community) and BLIP (Salesforce) are both models in the Multimodal category. The comparison page shows their prices and specifications side by side.

Compare LLaVA v1.6 34B and BLIP

Can LLaVA v1.6 34B process images?

Yes. LLaVA v1.6 34B accepts images as input in addition to text.

Can I use LLaVA v1.6 34B right now?

Currently unavailable: this model has been deactivated. The page stays online; available alternatives from the same category are listed further down.

All models through one API

One API key for every model on Railwail. Usage is charged from prepaid credits, 1 credit = $0.01.