Author's Description
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,...
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
MiniMax M2, a compact 10-billion activated parameter model, demonstrates strong performance in specialized areas despite generally longer response times, ranking in the 13th percentile for speed. Its pricing is moderate, placing it in the 27th percentile. Notably, the model exhibits exceptional reliability with a 98% success rate, indicating consistent and stable operation. The model excels in coding, achieving 93.9% accuracy, and strong reasoning capabilities at 96.0% accuracy, aligning with its optimization for end-to-end coding and agentic workflows. It also shows solid general knowledge (99.0% accuracy). However, MiniMax M2 struggles significantly with instruction following (11.6% accuracy) and exhibits a notable weakness in handling fictional concepts, with an 80.0% accuracy in hallucination tests, suggesting it may not always correctly identify when it lacks information. Its performance in mathematics (84.0%) and ethics (98.0%) is competitive, while email classification is moderate (97.0%). Overall, MiniMax M2 is a powerful tool for coding and reasoning tasks, particularly where reliability is paramount, but users should be mindful of its slower processing and limitations in complex instruction following and hallucination avoidance.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.255 |
| Completion | $1 |
| Input Cache Read | $0.03 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Parasail
|
Parasail | minimax/minimax-m2 | 196K | $0.255 / 1M tokens | $1 / 1M tokens |
|
Chutes
|
Chutes | minimax/minimax-m2 | 196K | $0.255 / 1M tokens | $1 / 1M tokens |
|
AtlasCloud
|
AtlasCloud | minimax/minimax-m2 | 196K | $0.255 / 1M tokens | $1 / 1M tokens |
|
Novita
|
Novita | minimax/minimax-m2 | 204K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
Fireworks
|
Fireworks | minimax/minimax-m2 | 196K | $0.255 / 1M tokens | $1 / 1M tokens |
|
Minimax
|
Minimax | minimax/minimax-m2 | 204K | $0.255 / 1M tokens | $1 / 1M tokens |
|
SiliconFlow
|
SiliconFlow | minimax/minimax-m2 | 196K | $0.255 / 1M tokens | $1 / 1M tokens |
|
GMICloud
|
GMICloud | minimax/minimax-m2 | 196K | $0.255 / 1M tokens | $1 / 1M tokens |
|
Google
|
Google | minimax/minimax-m2 | 196K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
Minimax
|
Minimax | minimax/minimax-m2 | 204K | $0.255 / 1M tokens | $1.02 / 1M tokens |
|
DeepInfra
|
DeepInfra | minimax/minimax-m2 | 262K | $0.255 / 1M tokens | $1 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
Other Models by minimax
|
|
Released | Params | Context |
|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
| MiniMax: MiniMax M2.7 Unavailable | Mar 18, 2026 | — | 204K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
| MiniMax: MiniMax M2.7 | Mar 18, 2026 | — | 204K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
| MiniMax: MiniMax M2.5 | Feb 12, 2026 | — | 204K |
Text input
Text output
|
★★ | ★★★★ | $$$$ |
| MiniMax: MiniMax M2-her | Jan 23, 2026 | — | 65K |
Text input
Text output
|
★★ | ★ | $$$ |
| MiniMax: MiniMax M2.1 | Dec 22, 2025 | ~10B | 204K |
Text input
Text output
|
★★ | ★★★★ | $$$$$ |
| MiniMax: MiniMax M1 | Jun 17, 2025 | — | 1M |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
| MiniMax: MiniMax M1 (extended) Unavailable | Jun 17, 2025 | — | 128K |
Text input
Text output
|
★ | ★ | $$$$ |
| MiniMax: MiniMax-01 | Jan 14, 2025 | ~456B | 1M |
Text input
Image input
Text output
|
★★★ | ★★ | $$$ |