Last refreshed 2026-10-19. Next refresh: weekly.
Why use Qwen3-Next-80B-A3B-Thinking on Fireworks AI?
Fireworks AI offers Qwen3-Next-80B-A3B-Thinking. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Qwen3-Next-80B-A3B-Thinking across 4 providers to find the best fit for your use caseInput / 1M
-
Output / 1M
-
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-next-80b-a3b-thinkingRequest 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-next-80b-a3b-thinking",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/qwen3-next-80b-a3b-thinking", not the LLMReference slug "qwen3-next-80b-a3b-thinking".
- 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-Next-80B-A3B-Thinking Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.15 | $1.20 |
| Vercel AI Gateway | $0.15 | $1.20 |
| Together AI | — | — |
| Fireworks AI | — | — |
Capabilities
Reasoning
About Qwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking is the thinking-mode variant of Alibaba Qwen's Qwen3-Next-80B-A3B, an 80B-parameter mixture-of-experts model with 3B active parameters per token and a hybrid Gated DeltaNet + Gated Attention architecture. It was announced on 2025-09-11 alongside the Instruct variant, with Apache-2.0 open weights on Hugging Face.
Get Started
Model Specs
Released2025-09-11
Parameters80B-A3B
ArchitectureMixture of Experts