Author's Description
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
MiniMax M2.7, a next-generation large language model, demonstrates exceptional reliability with a 100% success rate across all benchmarks, indicating consistent and usable responses. While its speed tends to be slower, ranking in the 18th percentile, and its pricing is moderate at the 32nd percentile, its performance across various tasks is noteworthy. The model excels in knowledge-based tasks, achieving perfect accuracy in General Knowledge and 98.0% in Hallucinations (Baseline), indicating a strong grasp of factual information and an appropriate acknowledgment of uncertainty. It also shows strong capabilities in Email Classification (99.0% accuracy) and Coding (92.5% accuracy). Its agentic capabilities are reflected in solid Instruction Following (65.0% accuracy) and Reasoning (92.0% accuracy) scores. A key strength is its perfect accuracy in General Knowledge, making it the most accurate model at its price point and among models of comparable speed. A potential area for improvement is its speed, as it consistently ranks in the lower percentiles for duration across benchmarks, particularly in Mathematics where it has the longest duration.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.3 |
| Completion | $1.2 |
| Input Cache Read | $0.06 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Minimax
|
Minimax | minimax/minimax-m2.7-20260318 | 204K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
Minimax
|
Minimax | minimax/minimax-m2.7-20260318 | 204K | $0.6 / 1M tokens | $2.4 / 1M tokens |
|
Novita
|
Novita | minimax/minimax-m2.7-20260318 | 204K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
AtlasCloud
|
AtlasCloud | minimax/minimax-m2.7-20260318 | 196K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
Friendli
|
Friendli | minimax/minimax-m2.7-20260318 | 196K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
Fireworks
|
Fireworks | minimax/minimax-m2.7-20260318 | 196K | $0.3 / 1M tokens | $1.2 / 1M tokens |
|
Together
|
Together | minimax/minimax-m2.7-20260318 | 196K | $0.3 / 1M tokens | $1.2 / 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
|
★ | ★★★★ | $$$$ |
| MiniMax: MiniMax M2.5 | Feb 12, 2026 | — | 204K |
Text input
Text output
|
★★ | ★★★★ | $$$$ |
| MiniMax: MiniMax M2-her | Jan 23, 2026 | — | 65K |
Text input
Text output
|
★★ | ★ | $$$ |
| MiniMax: MiniMax M2.1 | Dec 22, 2025 | ~10B | 204K |
Text input
Text output
|
★★ | ★★★★ | $$$$$ |
| MiniMax: MiniMax M2 | Oct 23, 2025 | ~230B | 196K |
Text input
Text output
|
★ | ★★★ | $$$$ |
| MiniMax: MiniMax M1 | Jun 17, 2025 | — | 1M |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
| MiniMax: MiniMax M1 (extended) Unavailable | Jun 17, 2025 | — | 128K |
Text input
Text output
|
★ | ★ | $$$$ |
| MiniMax: MiniMax-01 | Jan 14, 2025 | ~456B | 1M |
Image input
Text input
Text output
|
★★★ | ★★ | $$$ |