MiniMax M3
MiniMax M3 is MiniMax's language model with a 1.0M context window and up to 512K output tokens, available from 12 providers, starting at $0.23 / 1M input and $0.96 / 1M output. A multimodal foundation model supporting text, image, and video inputs with a 1M-token context window, designed for long-horizon agentic tasks, coding, and reasoning.
| Benchmarks | |
|---|---|
| Intelligence Index | #36 |
| Coding Index | #45 |
| GPQA | #10 |
| HLE | #33 |
| IFBench | #3 |
| Time to First Token | #403 |
| SciCode | #70 |
| LCR | #6 |
| TerminalBench Hard | #36 |
| TAU2 | #73 |
| Output TPS | #70 |
Capabilities
Input4/5
Text✓
Image✓
Audio·
Video✓
PDF✓
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities6/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching✓
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Free | Batch | |||||
|---|---|---|---|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | |
| $0.33 | $1.32 | $0.066 | — | — | — | — | — | |
| $0.28 | $1.10 | $0.056 | — | — | — | — | — | |
| $0.3 | $1.20 | $0.06 | — | — | — | — | — | |
| $0.3 | $1.20 | N/A | — | — | — | — | — | |
| $0.3 | $1.20 | $0.06 | — | — | — | — | — | |
| $0.3 | $1.20 | N/A | — | — | — | — | — | |
| $0.3 | $1.20 | $0.06 | — | — | — | — | — | |
| $0.3 | $1.20 | $0.06 | N/A | N/A | N/A | N/A | N/A | |
| — | — | — | — | — | $0.3 | $1.20 | $0.06 | |
| — | — | — | $N/A | $N/A | N/A | N/A | N/A | |
| $0.3 | $1.20 | $0.06 | — | — | — | — | — | |
| $0.3 | $1.20 | $0.06 | — | — | — | — | — | |
| $0.3 | $1.20 | $0.06 | — | — | — | — | — | |
| $0.23 | $0.96 | $0.05 | — | — | — | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host MiniMax M3, ranked by cheapest on-demand price. The model needs about 1025 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 | |
|---|---|---|---|---|---|---|
| Standard_ND96is_MI300X_v5 |  Azure | 8× AMD Instinct MI300X GPU (192GB) | 1536 GB | $48.00/hr | ||
| Standard_ND96isr_MI300X_v5 | Azure | 8× AMD Instinct MI300X | 1536 GB | $48.00/hr | ||
| p5en.48xlarge |  AWS | 8× H200 | 1128 GB | $63.30/hr | ||