MiniMax • text#53 of 704 in intelligence
Data source: Artificial Analysis · ID AA: d49c8680-e29b-400e-9511-824f7ddebe07 · Snapshot published: 10/27/2026, 3:00:24 PM · Methodology version: 4.3
AA Intelligence Index
42.7
Artificial Analysis · 4.3 · 10/27/2026, 3:00:24 PM
Context Window
—
Input Price/1M
$0.15
#94 of 445
Output Price/1M
$0.60
Parameters
—
Speed
118 tok/s
#67 of 160
Latency (TTFT)
1.1s
Cost per Task
$0.2201
USD / task · lower is better · Artificial Analysis · 4.3 · 10/27/2026, 3:00:24 PM
Artificial Analysis metrics for MiniMax-M3.1-Flash. Higher is better for capability indexes; lower is better for cost per task.
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Cost Per Task | 0.2 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Intelligence Index | 42.7 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
MiniMax-M3.1-Flash is an AI model developed by MiniMax, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via MiniMax's cloud API.
MiniMax-M3.1-Flash is usage-based, priced at $0.15/1M input tokens and $0.6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
MiniMax-M3.1-Flash was evaluated on 2 different benchmarks, covering categories like Cost, overall. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
MiniMax-M3.1-Flash specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, MiniMax-M3.1-Flash competes directly with similarly capable models. MiniMax competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
MiniMax-M3.1-Flash is an AI model developed by MiniMax. It is a text model.
MiniMax-M3.1-Flash costs $0.15/1M input tokens and $0.6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, MiniMax-M3.1-Flash scored: AA Cost Per Task: 0.2201/100, AA Intelligence Index: 42.7/100. See the full table above for a detailed comparison.
No, MiniMax-M3.1-Flash is a proprietary model from MiniMax. It is available via cloud API. For open source alternatives, check our open source model ranking.
MiniMax-M3.1-Flash excels at general-purpose language tasks.
Last updated: October 27, 2026 • View methodology →