MiniMax M3
minimax-m3MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,... Built by MiniMax.
Prices updated
Input price
$0.30
per 1M tokens · Standard
Output price
$1.20
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
512K
tokens
Input formats
Output formats
MiniMax M3 price history
2 price records since 9/25/2026
MiniMax M3 cost calculator
$12/month
Standard pricing
Overview
What is MiniMax M3?
MiniMax M3 is a text & reasoning and vision model from MiniMax. MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,... Its 1M context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
MiniMax M3 benchmarks & speed
How MiniMax M3 scores on standardized evaluations, and where it lands among every model we track.
29.2
Intelligence Index
97tok/s
Output speed
1252
DesignArena Elo
Reasoning
GPQA Diamond
92.9%
Graduate-level scientific reasoning · top 9%
HLE
39.0%
Humanity's Last Exam · top 23%
Coding
SciCode
47.1%
Python for scientific computing · top 61%
Latency & design
- Time to first token
- 2.03s
- DesignArena win rate
- 50.9%
- Design battles judged
- 27,147
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
MiniMax M3 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.30
Per 1M tokens
Cached input · Standard
$0.06
Per 1M tokens
Capabilities
MiniMax M3 Tools
Tools available when using MiniMax M3 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.30 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider