Last refreshed 2026-10-07. Next refresh: weekly.
Why use Qwen3 VL 30B A3B Instruct on Fireworks AI?
Fireworks AI offers Qwen3 VL 30B A3B Instruct with competitive pricing. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Qwen3 VL 30B A3B Instruct across 3 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/qwen3-vl-30b-a3b-instructRequest 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="accounts/fireworks/models/qwen3-vl-30b-a3b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/qwen3-vl-30b-a3b-instruct", not the LLMReference slug "qwen3-vl-30b-a3b-instruct".
- 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.
Compare Qwen3 VL 30B A3B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Novita AI | $0.20 | $0.70 |
| OpenRouter | $0.20 | $0.70 |
| Fireworks AI | — | — |
Capabilities
VisionMultimodalJSON / Tool useStructured Outputs
About Qwen3 VL 30B A3B Instruct
Qwen3-VL-30B-A3B-Instruct is a multimodal MoE model from Alibaba unifying text generation with visual understanding for images, charts, and documents at 128K context.
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Model Specs
Released2025-09-18
Parameters30B
Context128K
ArchitectureMixture of Experts