Last refreshed 2026-05-19. Next refresh: weekly.
Why use FireLLaVA 13B on Fireworks AI?
Fireworks AI offers FireLLaVA 13B with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Setup recipe
Python + curlpip install openaiexport FIREWORKS_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],firellava-13bRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="firellava-13b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
No model capability flags are currently sourced.
About FireLLaVA 13B
FireLLaVA 13B is an advanced vision-language model (VLM) designed to process both images and text, excelling in tasks such as image-to-text generation and visual question answering. Built by integrating CodeLlama 34B Instruct with a vision component akin to OpenAI's CLIP-ViT, this model utilizes a training set consisting of 588K lines of single and multi-turn visual question answering data. As the first commercially permissive open-source LLaVA model, FireLLaVA 13B effectively mimics the multimodal capabilities of GPT-4, showing comparable or superior performance on certain benchmarks.