Last refreshed 2026-06-15. Next refresh: weekly.
Why use MiniMax-M2-80k on Fireworks AI?
Fireworks AI offers MiniMax-M2-80k 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.
Input / 1M
$0.90
Output / 1M
$0.90
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
minimax-m2-80kRequest 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="minimax-m2-80k",
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 MiniMax-M2-80k
MiniMax-M2-80k is MiniMax's MiniMax M2 model. It offers an 80K-token context window.
FAQ
What does MiniMax-M2-80k cost on Fireworks AI?
On Fireworks AI, MiniMax-M2-80k costs $0.9 per 1M input tokens and $0.9 per 1M output tokens.
What is the context window for MiniMax-M2-80k on Fireworks AI?
MiniMax-M2-80k supports a 80k token context window on Fireworks AI.
Who created MiniMax-M2-80k?
MiniMax-M2-80k was created by MiniMax as part of the MiniMax M2 model family.
Is MiniMax-M2-80k open source?
MiniMax-M2-80k is open source under MIT according to the seed data.
Get Started
Model Specs
Released2025-10-23
Parameters80B
Context80k
ArchitectureDecoder Only