MiniMax
MiniMax M3.1 Flash
1M context and open weights at a Chinese price
What it is
MiniMax’s agentic Flash model: a 1M context, native multimodal input, adjustable thinking depth, open weights on Hugging Face, and $0.15/$0.60 per 1M tokens on the global API.
NLT take
A serious open-weight agent model with a million-token window and a clear USD rate. The remaining question is operational: confirm which MiniMax platform your key belongs to before you put it in a cost model.
Before you switch
The USD rates are on the global MiniMax platform; the Chinese platform quotes CNY. Use the right one for your key, and check the Ollama tag before pulling.
Cost for a real task
The same task on every model: 50,000 input tokens and 10,000 output tokens, at the base tier.
Task cost
$0.014
50K input + 10K output tokens
- Input, per 1M
- $0.15
- Output, per 1M
- $0.60
- Cached input, per 1M
- $0.015
Pricing source: MiniMax pricing (USD)
Specs
- Maker
- MiniMax
- Licence
- Open weights
- Released
- October 19, 2026
- Context window
- 1,000,000 tokens
- Input / output
- Text · Image → Text
Also known as: MiniMax-M3.1-Flash · minimax-m3.1-flash:cloud
Watch it in action
Hands-on videos from creators we trust. They open on YouTube; we do not host or re-upload them.
MiniMax M3.1 Flash IS REALLY GOOD! INSANELY FAST & FREE!WorldofAIWhy watch: Tests the speed and free-tier claims on real prompts.Watch on YouTube(opens YouTube in a new tab)
Minimax M3.1 Flash (Fully Tested): Okay, this MODEL is PRETTY GOOD!AICodeKingWhy watch: A second, more measured pass.Watch on YouTube(opens YouTube in a new tab)
From our coverage
Articles about this model or its family. A “Background” tag means we have not covered this exact release yet.
- BackgroundJune 20, 2026MiniMax M3: Open-Weight 1M-Context Coding ModelMiniMax M3 is an open-weight, 1M-context AI coding model with native multimodality and Sparse Attention. What its benchmarks, pricing, and license really mean.
- BackgroundJune 9, 2026MiniMax M3: Open-Weight Coding at 1/10 the Cost (2026)MiniMax M3 is an open-weight coding model whose Sparse Attention runs 1M-token context at 1/20th the compute. Its benchmarks beat GPT-5.5 — with caveats.
Sources & model links
Every number on this card traces back to one of these links. The maker page proves the positioning, the pricing page proves the rates, the Hugging Face repo proves the weights exist, and the Ollama page proves a local tag.
Official
- MiniMaxVerifies: maker
- MiniMax pricing (USD)Verifies: price
Open weights
- Hugging Face weightsVerifies: weights · licence
Run locally
- Run with Ollama (tag cloud)Verifies: local runOllama has a dedicated MiniMax-M3.1-Flash library; the published tag is cloud.