MiniMax M1 80K

Overview

MiniMax-M1 is an open-source, large-scale reasoning model that uses a hybrid-attention architecture for efficient long-context processing. It supports up to a 1 million token context window and 80,000-token reasoning output, matching Gemini 2.5 Pro’s scale while being highly cost-effective. Its Lightning Attention mechanism reduces compute requirements to about 30% of DeepSeek R1’s, and a new reinforcement learning algorithm, CISPO, doubles convergence speed compared to other RL methods. Trained on 512 H800s over three weeks, M1 achieves near state-of-the-art results across software engineering, long-context, and tool-use benchmarks, outperforming most open models and rivaling top closed systems.

MiniMax M1 80K was released on June 16, 2025. API access is available through Novita.

Benchmarks

MiniMax M1 80K Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Fri Jan 02 2026

Pricing

Pricing, performance, and capabilities for MiniMax M1 80K across different providers:

Provider	Input ($/M)	Output ($/M)	Max Input	Max Output	Latency (s)	Throughput	Quantization	Input	Output
Novitabf16	$0.55	$2.20	1.0M	40.0K	—	—	bf16	Text Image Audio Video	Text Image Audio Video

API Access