LLM Reference
Fireworks AI

MiniMax M2.7 on Fireworks AI

MiniMax M2 · MiniMax

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Last refreshed 2026-06-01. Next refresh: weekly.

Why use MiniMax M2.7 on Fireworks AI?

Fireworks AI offers MiniMax M2.7 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.

Compare MiniMax M2.7 across 4 providers to find the best fit for your use case
Input / 1M
$0.30
Output / 1M
$1.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
minimax-m2.7

Request 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-m2.7",
    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.

Compare MiniMax M2.7 Across Providers

ProviderInput (per 1M)Output (per 1M)
OpenRouter$0.28$1.20
Fireworks AI$0.30$1.20
Vercel AI Gateway$0.30$1.20
Novita AI$0.30$1.20

Pricing

TypePrice (per 1M)
Input tokens$0.30
Output tokens$1.20

Capabilities

ReasoningFunction CallingTool UseStructured Outputs

About MiniMax M2.7

MiniMax M2.7 is MiniMax's self-improving frontier model, released March 18, 2026. It introduces native multi-agent collaboration, complex skill orchestration, and early recursive self-improvement capabilities. The model uses 10B active parameters, supports a 204,800-token context window, and was released alongside MiniMax-M2.7-highspeed, a 66% faster latency-optimized variant. Public provider listings price standard M2.7 at $0.30 per 1M input tokens and $1.20 per 1M output tokens. MiniMax M3 supersedes it for million-token, multimodal, and computer-use workflows, while M2.7 remains the lower-cost text-only route when 200K context is enough.

FAQ

What does MiniMax M2.7 cost on Fireworks AI?

On Fireworks AI, MiniMax M2.7 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.

What is the context window for MiniMax M2.7 on Fireworks AI?

MiniMax M2.7 supports a 205k token context window on Fireworks AI.

How does Fireworks AI compare to other MiniMax M2.7 providers?

MiniMax M2.7 is available from 4 providers. The cheapest input pricing is $0.279/1M tokens from OpenRouter.

Who created MiniMax M2.7?

MiniMax M2.7 was created by MiniMax as part of the MiniMax M2 model family.

Is MiniMax M2.7 open source?

MiniMax M2.7 is open source under MIT according to the seed data.

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