Last refreshed 2026-05-19. Next refresh: weekly.
Why use Phi 3.5 MoE Instruct on Fireworks AI?
Fireworks AI offers Phi 3.5 MoE Instruct 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.
Input / 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
phi-3.5-moe-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="phi-3.5-moe-instruct",
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 | $0.50 |
| Output tokens | $0.50 |
Capabilities
No model capability flags are currently sourced.
About Phi 3.5 MoE Instruct
Phi 3.5 MoE Instruct is Microsoft Research's Phi-3 model. It offers a 128K-token context window with weights openly available for self-hosting.
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Model Specs
Released2024-08-20
Parameters16x3.8B (42B, 6.6B active)
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-10