MiniMax: MiniMax M2

minimax/minimax-m2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency. The model excels in code generation, multi-file editing, compile-run-fix loops, and test-validated repair, showing strong results on SWE-Bench Verified, Multi-SWE-Bench, and Terminal-Bench. It also performs competitively in agentic evaluations such as BrowseComp and GAIA, effectively handling long-horizon planning, retrieval, and recovery from execution errors.

Model specifications

Input
text
Output
text
Context
200,000 tokens
Max output
128,000 tokens
Input price
$0.3 / 1M tokens
Output price
.2 / 1M tokens
Released
2026-02-18

Capabilities

  • Streaming
  • Function calling
  • JSON mode
  • Playground

Provider pricing, discounts and data privacy

Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.

Standard service tier

2 available providers · tier input average $0.2775 / 1M tokens · tier output average .1 / 1M tokens

AtlasCloud

Tier: Standard · Region: US

Pricing
Input
$0.255 / 1M tokens
Output
/ 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
US
Zero data retention
No
Data retention
7-day retention
Used for training
No
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Privacy policy · Terms · Official website · Documentation · Support

MiniMax

Tier: Standard · Region: SG

Pricing
Input
$0.3 / 1M tokens
Output
.2 / 1M tokens
Cache read
$0.03 / 1M tokens
Cache write
$0.375 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
SG
Zero data retention
No
Data retention
Unknown retention
Used for training
Yes
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Privacy policy · Terms · Official website · Documentation · Support

Frequently asked questions

What is MiniMax: MiniMax M2?
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency. The model excels in code generation, multi-file editing, compile-run-fix loops, and test-validated repair, showing strong results on SWE-Bench Verified, Multi-SWE-Bench, and Terminal-Bench. It also performs competitively in agentic evaluations such as BrowseComp and GAIA, effectively handling long-horizon planning, retrieval, and recovery from execution errors.
How much does MiniMax: MiniMax M2 cost?
Input costs start at $0.3 / 1M tokens and output costs start at .2 / 1M tokens. Provider-level prices vary by service tier.
What is the context length of MiniMax: MiniMax M2?
MiniMax: MiniMax M2 supports a 200,000 token context window and up to 128,000 output tokens.
What capabilities does MiniMax: MiniMax M2 support?
MiniMax: MiniMax M2 supports Streaming, Function calling, JSON mode, Playground.
Which providers offer MiniMax: MiniMax M2?
MiniMax: MiniMax M2 is available from AtlasCloud, MiniMax.
How do providers handle data privacy for MiniMax: MiniMax M2?
2 of 2 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.

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