MiniMax-M3
MiniMax • text
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Specifications
Context Window
1.0M tokens
Input Price/1M
$0.30
Output Price/1M
$1.20
Parameters
—
Speed
46 tok/s
Latency (TTFT)
2.6s
Max Output
512K tokens
Benchmarks
MiniMax-M3 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 42.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 45.0 | 100.0 | — |
| AA Coding Index | 43.4 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 74.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 54.7 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 93.0 | 100.0 | Artificial Analysis official API |
| IFBench | 83.0 | 100.0 | — |
| HLE | 37.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 89.0 | 100.0 | — |
Information
- Release date
- June 01, 2026
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: MiniMax-M3
What is MiniMax-M3?
MiniMax-M3 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. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
MiniMax-M3 is usage-based, priced at $0.3/1M input tokens and $1.2/1M 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.
Benchmarks & Performance
MiniMax-M3 was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional 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.
Recommended Use Cases
MiniMax-M3 specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, MiniMax-M3 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.
Frequently Asked Questions
What is MiniMax-M3?
MiniMax-M3 is an AI model developed by MiniMax. It is a text model.
How much does MiniMax-M3 cost?
MiniMax-M3 costs $0.3/1M input tokens and $1.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does MiniMax-M3 compare with other models?
In available benchmarks, MiniMax-M3 scored: Terminal-Bench Hard: 42/100, SciCode: 45/100, AA Coding Index: 43.4/100. See the full table above for a detailed comparison.
Is MiniMax-M3 open source?
No, MiniMax-M3 is a proprietary model from MiniMax. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is MiniMax-M3 best for?
MiniMax-M3 excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 11, 2026 • View methodology →