Last refreshed 2026-06-01. Next refresh: weekly.
Why use Qwen3-30B-A3B on Fireworks AI?
Fireworks AI offers Qwen3-30B-A3B with pay-as-you-go pricing at $0.50/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Qwen3-30B-A3B across 7 providers to find the best fit for your use caseInput / 1M
$0.50
Output / 1M
$0.50
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/qwen3-30b-a3bRequest 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/qwen3-30b-a3b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/qwen3-30b-a3b", not the LLMReference slug "qwen3-30b-a3b".
- 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 Qwen3-30B-A3B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.05 | $0.34 |
| OpenRouter | $0.08 | $0.28 |
| Fireworks AI | $0.50 | $0.50 |
| AWS Bedrock | $0.10 | $0.30 |
| Vercel AI Gateway | $0.08 | $0.29 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $0.50 |
Capabilities
Structured Outputs
About Qwen3-30B-A3B
Alibaba's Qwen3-30B with 3B active parameters via mixture-of-experts architecture. Delivers strong performance with efficient inference on Cloudflare Workers AI platform.
Get Started
Model Specs
Released2025-04-28
Parameters30B
Context128k
ArchitectureMixture of Experts