MiniMax M3.1 Flash
MiniMax's low-cost coding and agent model with a 1M-token context and tunable thinking depth, on Runware and OpenRouter.
M3.1 Flash is a cloud text model built by MiniMax. It is multimodal: alongside a text prompt it accepts images, then replies with generated text. Its context window handles up to 1M input tokens and up to 131K output tokens, and it supports adjustable reasoning effort for harder problems. Generation can be tuned with system instructions, temperature, and top-p sampling. It runs through Runware and OpenRouter using your own API key, from $0.15 per million input tokens.
- Released
- Oct 2026
- Pricing
- $0.15 / 1M in · $0.60 / 1M out
- Inputs
- Text, Images
- Context window
- 1M in · 131K out
- Reasoning
- Adjustable effort
- Controls
- System prompt, Temperature, Top-p
Samples
Generated with M3.1 Flash via OpenRouter. The same three prompts run against every text model in the catalog, shown verbatim, so the only thing that changes between two models’ answers is the model.
Explain what an API is to someone who has never written code. Do not use a restaurant or waiter analogy. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 50 words.
An API is a set of rules that lets one computer program ask another for information or actions without needing to know how the other program works. For example, a weather app can use an API to request current conditions from a weather service.
A two-person startup is deciding whether to build their own user authentication or use a hosted provider. Give them a clear recommendation, then the single strongest argument against your own recommendation. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 150 words.
Use a hosted identity provider. For a two-person startup, it gives you secure password handling, multifactor authentication, session management, account recovery, and regulatory updates faster and more reliably than building authentication yourselves. It also avoids dedicating scarce engineering time to infrastructure that does not differentiate your product. Choose a provider with standard identity protocols so you can migrate later if needed. The strongest argument against this recommendation is provider lock-in. Pricing, features, data-location rules, or authentication flows may eventually become constrained by the vendor, making it costly to switch or impossible to meet specialized compliance or product requirements. That risk is real, but for an early-stage startup it is usually smaller than the security burden and opportunity cost of building authentication in-house.
Write a briefing for a non-technical executive explaining why their company's spending on AI is hard to predict, and what they can do about it. Cover at least three distinct causes. Plain prose only — no headings, bullet points, or markdown formatting. Write exactly 205 words.
AI spending is difficult to predict because it is not a single purchase but an evolving set of costs. Technology changes quickly, so tools that look affordable today may become obsolete, cheaper, or much more capable next year. Vendors also price features, computing capacity, and support in different ways, making comparisons difficult. Many AI projects begin as experiments that never reach routine use, while successful ones can trigger unexpected demand. Costs can then grow through cloud usage, data preparation, security reviews, staff training, integration, and maintenance. A model may perform well in a demonstration but require substantial work to make its answers reliable enough for customers or regulated decisions. External uncertainty adds another layer. Privacy rules, copyright disputes, ethical concerns, and shifting government requirements can delay deployment or require redesign. The cost of scarce specialist skills can vary sharply by region and project. Executives can respond by linking spending to business outcomes, not ambitions. Prioritize use cases with owners, measures, and release gates. Budget for data, integration, operations, and oversight as well as licenses. Use pilots to estimate usage, negotiate contracts, update forecasts, and stop projects that miss thresholds. Separate internal improvements, customer service systems, and systems that make decisions, each requiring validation and governance.
MiniMax
MiniMax is a Chinese AI lab whose speech and music models are widely used for multilingual voiceover and generative music.
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