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
- $1.2 / 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 $1.1 / 1M tokens
AtlasCloud
Tier: Standard · Region: US
Pricing
- Input
- $0.255 / 1M tokens
- Output
- $1 / 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
- $1.2 / 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 $1.2 / 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.