MiniMax M3
MiniMax M3 on OptiQ Cloud, billed per token.
cloudMiniMax M3 is a model from MiniMax with a context window of 512K tokens. It answers without thinking unless you set a reasoning effort. It is served by OptiQ Cloud and billed per token. All OptiQ Cloud models are served at full precision, and your requests are never used for training.
Next to the other OptiQ Cloud models
Scores are from each maker's model card, for benchmarks that more than one card reports; OptiQ did not run them. Prices are what OptiQ Cloud charges.
Output price, $ per million tokens
Input price, $ per million tokens
Use it
Connect this Mac
Sign in once. New accounts get $2 of credit. See OptiQ Cloud.
pip install mlx-optiq
optiq cloud loginClaude Code
optiq run claude --cloud minimax-m3Codex
optiq run codex --cloud minimax-m3OpenCode
optiq run opencode --cloud minimax-m3Mistral Vibe
optiq run vibe --cloud minimax-m3Hermes Agent
optiq run hermes --cloud minimax-m3OpenClaw
optiq run openclaw --cloud minimax-m3No local model is loaded. optiq run starts optiq serve --cloud-only, sets the agent up for this session only, and stops the server when the agent exits.
OptiQ Code
Boost: this model leads the task and your local model is its helper.
/boost minimax-m3OptiQ Lab, and any app that talks to optiq serve
Pick optiq-cloud/minimax-m3 in the model list. With no local model:
optiq serve --cloud-onlyThe API, from anywhere
Create a key on the dashboard.
curl https://cloud.mlx-optiq.com/api/v1/chat/completions \
-H "Authorization: Bearer $OPTIQ_CLOUD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "minimax-m3",
"messages": [{"role": "user", "content": "Hello"}]}'from openai import OpenAI
client = OpenAI(
base_url="https://cloud.mlx-optiq.com/api/v1",
api_key="<your key>")
reply = client.chat.completions.create(
model="minimax-m3",
messages=[{"role": "user", "content": "Hello"}])
print(reply.choices[0].message.content)Details
| Input | $0.50 per million tokens |
|---|---|
| Cached input | $0.10 per million tokens |
| Output, including reasoning | $2.00 per million tokens |
| Context window | 512K tokens |
| Longest reply | 131,072 tokens |
| Model id | minimax-m3 on the API, optiq-cloud/minimax-m3 in optiq serve |