MiniMax M2
MiniMax M2 is MiniMax's language model with a 205K context window and up to 131K output tokens, available from 8 providers, starting at $0.255 / 1M input and $1.02 / 1M output. MiniMax's second-generation MoE language model with reasoning and tool-use capabilities, built for complex agentic and productivity workflows.
| Benchmarks | |
|---|---|
| Intelligence Index | #149 |
| Math Index | #95 |
| MMLU-Pro | #83 |
| GPQA | #179 |
| HLE | #160 |
| LiveCodeBench | #25 |
| IFBench | #49 |
| Time to First Token | #435 |
| SciCode | #220 |
| AIME 2025 | #95 |
| LCR | #140 |
| TerminalBench Hard | #124 |
| TAU2 | #85 |
| Output TPS | #127 |
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities6/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching✓
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Flex | Fast | Batch | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | Cache Write 5m $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
| $0.3 | $1.20 | N/A | N/A | $0.15 | $0.6 | $0.52 | $2.10 | $0.15 | $0.6 | |
| $0.3 | $1.20 | N/A | N/A | — | — | — | — | — | — | |
| $0.3 | $1.20 | $0.03 | N/A | — | — | — | — | — | — | |
| $0.3 | $1.20 | N/A | N/A | — | — | — | — | — | — | |
| $0.3 | $1.20 | $0.03 | $0.375 | — | — | — | — | — | — | |
| $0.3 | $1.20 | $0.03 | N/A | — | — | — | — | — | — | |
| $0.255 | $1.02 | N/A | N/A | — | — | — | — | — | — | |
| $0.3 | $1.20 | $0.03 | $0.375 | — | — | — | — | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host MiniMax M2, 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 |  AWS | 8× A100 | 640 GB | $27.45/hr | ||
| Standard_ND96amsr_A100_v4 |  Azure | 8× NVIDIA A100 (80GB) | 640 GB | $32.77/hr | ||
| g7e.48xlarge | AWS | 8× RTX PRO Server 6000 | 768 GB | $33.14/hr | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Dolphin 2.5 Mixtral 8x7B | — | — | — | — | Available |
| Dolphin 2.6 Mixtral 8x7B | — | 33K | $0.500 | $0.500 | Available |
| Dolphin 2.7 Mixtral 8x7B | — | — | — | — | Available |
| MiniMax M2 | 205K | $0.255 | $1.02 | Current | |
| Mixtral 8x22B Instruct | 66K | $0.600 | $0.600 | Available | |
| Mixtral 8x7B Instruct | 33K | $0.070 | $0.150 | Deprecated | |
| Hermes 2 Mixtral 8x7B DPO | — | 33K | $0.500 | $0.500 | Available |
| KARAKURI LM 8x7B Instruct | — | — | — | — | Available |
| Mixtral | — | — | — | — | Available |
| Mixtral 8x22B | — | 66K | $1.20 | $1.20 | Deprecated |
| Mixtral 8x7B | — | 33K | $0.500 | $0.500 | Deprecated |