MiniMax: MiniMax M3
Analysis Summary
MiniMax M3 is a high-capability multimodal model with a one-million-token context window, strong reasoning, and strong coding performance. It accepts text, images, and video, while tool use and function calling support practical automation. That combination gives it broad utility across software, analysis, and content workflows rather than limiting it to chat or generation.
For client work, M3 is suited to code assistance, long-document review, multimodal briefs, research pipelines, and structured customer-facing content. Its agentic capability is useful for tool-mediated tasks, although it does not match the strongest specialist agent models in the wider field. Autonomous workflows should still include validation around tool decisions and final outputs.
Pricing is a major advantage, especially given the context capacity and breadth of input modalities. Use MiniMax M3 as a cost-effective primary model for demanding mixed workloads, reserving more expensive flagships for tasks where the highest available reasoning reliability is essential.
Assessed August 9, 2026
Editorial notes
MiniMax M3 offers excellent reasoning and coding, a million-token context, multimodal input, and function calling at low pricing. It is well suited to high-value automation, though its agentic results trail the leading agent specialists.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M3 offers excellent reasoning and coding, a million-token context, multimodal input, and function calling at low pricing. It is well suited to high-value automation, though its agentic results trail the leading agent specialists.
How MiniMax: MiniMax M3 compares
MiniMax: MiniMax M3 ranks #41 of 427 AI models we track for overall intelligence, #48 of 200 for coding, #46 of 182 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.30 per million input tokens it is cheaper than 48% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
What would MiniMax: MiniMax M3 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 713 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MiniMax: MiniMax M3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MiniMax: MiniMax M3
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,..
Frequently asked questions about MiniMax: MiniMax M3
How much does MiniMax: MiniMax M3 cost?
MiniMax: MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens.
What is the context window of MiniMax: MiniMax M3?
MiniMax: MiniMax M3 has a context window of 1,048,576 tokens (1M).
Is MiniMax: MiniMax M3 good for coding?
On our coding benchmark index, MiniMax: MiniMax M3 ranks #48 of 200 models, placing it in the top quartile of the field for code generation and debugging.
What can MiniMax: MiniMax M3 do?
MiniMax: MiniMax M3 supports image/vision input, tool use, and function calling.
Who created MiniMax: MiniMax M3?
MiniMax: MiniMax M3 is developed by MiniMax and was released on May 31, 2026.