MiniMax M2.7 is MiniMax's language model with a 1.0M context window and up to 131K output tokens, available from 6 providers, starting at $0.25 / 1M input and $0.55 / 1M output. MiniMax's M2.7 MoE language model with vision support and advanced agent capabilities, designed for complex multi-step productivity tasks and dynamic tool use.
Capabilities
Input3/5
Text✓
Image✓
Audio·
Video·
PDF✓
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities6/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching✓
Assistant Prefill✓
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |||
|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | Cache Write 5m $ / 1M | |
| $0.3 | $1.20 | $0.06 | N/A | |
| $0.3 | $1.20 | N/A | N/A | |
| $0.25 | $1.00 | $0.05 | N/A | |
| $0.255 | $0.55 | N/A | N/A | |
| $0.6 | $2.40 | N/A | N/A | |
| $0.3 | $1.20 | $0.06 | $0.375 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host MiniMax M2.7, ranked by cheapest on-demand price. The model needs about 549 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| p4de.24xlarge | 8× A100 | 640 GB | $27.45/hr | us-east-1 | ||
| Standard_ND96amsr_A100_v4 | 8× NVIDIA A100 (80GB) | 640 GB | $32.77/hr | westus2 | ||
| g7e.48xlarge | 8× RTX PRO Server 6000 | 768 GB | $33.14/hr | us-east-1 | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| MiniMax M2.7 | 1.0M | $0.250 | $0.550 | Current | |
| MiniMax M2.5 | 1.0M | $0.150 | $0.900 | Available | |
| MiniMax M2.1 | 1.0M | $0.300 | $1.20 | Available |