LLM Reference

LLaVA 1.6 Vicuna 13B

Released
2024-01-31
Last refreshed
2026-05-19
Status
Researched 105d ago
Open sourceCommercial use: permitted

LLaVA 1.6 Vicuna 13B is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 4k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
LLaVA 1.6
Released
2024-01-31
Context
4k
Parameters
13B
Architecture
Decoder Only
Knowledge cutoff
2023-01
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Academic researcher focused on vision models

N/A
Founded N/A
Website
Pricing
Output / 1M
$0.500
Input / 1M
$0.100

Cheapest of 1 route · Replicate API

About

LLaVA 1.6 Vicuna 13B is a sophisticated multimodal language model designed to handle multimodal chatbot tasks, integrating text and image processing seamlessly. It features a pre-trained LLM, Vicuna-13B, and a likely CLIP ViT-L/14 vision encoder, linked using a trainable projection matrix, allowing it to comprehend both textual and visual content efficiently. The model offers capabilities such as image captioning, visual question answering, and enhanced reasoning and OCR, with the added advantage of processing high-resolution images up to 672x672 pixels.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Replicate API$0.100$0.500
Serverless

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.