Last refreshed 2026-04-18. Next refresh: weekly.
Why use MiniMax-M2-240k-0905 on Fireworks AI?
Fireworks AI offers MiniMax-M2-240k-0905 with pay-as-you-go pricing at $0.30/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Input / 1M
$0.30
Output / 1M
$1.20
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-m2-240k-0905Request 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-m2-240k-0905",
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 | $0.30 |
| Output tokens | $1.20 |
Capabilities
No model capability flags are currently sourced.
FAQ
What does MiniMax-M2-240k-0905 cost on Fireworks AI?
On Fireworks AI, MiniMax-M2-240k-0905 costs $0.3 per 1M input tokens and $1.2 per 1M output tokens.
What is the context window for MiniMax-M2-240k-0905 on Fireworks AI?
MiniMax-M2-240k-0905 supports a 240,000 token context window on Fireworks AI.
Who created MiniMax-M2-240k-0905?
MiniMax-M2-240k-0905 was created by MiniMax as part of the MiniMax M2 model family.
Is MiniMax-M2-240k-0905 open source?
MiniMax-M2-240k-0905 is not open source; the seed data lists it as proprietary.
Get Started
Model Specs
Released2025-01-01
Parameters240B
Context240K
ArchitectureDecoder Only