MiniMax M3.1 Flash Description

MiniMax M3.1 Flash is an advanced hosted language model designed specifically for developers who are creating coding assistants, AI agents, and various software applications. It can be accessed via MiniMax's API and MiniMax Code, allowing it to process inputs in text, image, and video formats while generating relevant text responses. Among its documented applications are functionalities such as code generation, debugging, complex reasoning tasks, tool utilization, analysis of codebases and documents, as well as enhancing computer workflows. The API boasts an impressive context window that can handle up to 1 million tokens, offers adjustable reasoning capabilities, and supports request formats that are compatible with both OpenAI and Anthropic standards. Charges for usage are based on the number of tokens used for input, output, and cached input. Comprehensive documentation is provided by MiniMax to assist with API integration and effective model utilization. M3.1 Flash is accessible through the hosted API, M Plan, and MiniMax Code, while there are plans to release model weights in the future, expanding its potential applications even further. This innovation represents a significant step forward in the integration of AI into software development processes.

MiniMax M3.1 Flash Alternatives
LTX Reviews
LTX
(182 Ratings)
Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands. At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world. You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work. LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
Learn more
TelemetryOS Reviews
TelemetryOS
(282 Ratings)
TelemetryTV is a powerful platform for digital signage that allows organizations to connect with audiences, generate awareness and give voice to their communities and teams. TelemetryTV lets you broadcast dynamic content by streaming video, images and social feeds to all your displays, wherever they may be. TelemetryTV powers internal communications and marketing at Starbucks, Amazon and Stanford University. Our success is based on being flexible, open to communication, collaborative, and open to collaboration. We believe in continuous learning, challenging the status-quo, and listening to customers. We are moving towards a world in which our walls will eventually talk. This begs the question: What do you want them saying?
Learn more
Gemini 4 Argon Reviews
Gemini 4 Argon
(1 Rating)
Gemini 4 Argon is a frontier AI model from Google DeepMind built to sustain deep reasoning across complex, long-running professional workflows. Google designed the model for demanding work spanning software engineering, finance, legal tasks, enterprise knowledge work, cybersecurity defense, and creative writing. Argon supports coding, reasoning, multimodality, and multi-step task execution, allowing it to work across workflows that require information gathering, analysis, tool use, and extended problem solving. Its output token limit has been increased from 64,000 to 1 million tokens, giving the model additional capacity for lengthy reasoning and generation within a single trajectory. On DeepSWE v1.1, Google reports a score of 77.9% for real-world long-horizon software engineering, while its AutomationBench score of 51.3% measures performance on end-to-end business workflows. Google also reports strong results on evaluations covering finance, legal work, visual analysis, and long-video understanding, including a 91.7% score on LVBench. For cybersecurity teams, Argon can autonomously discover, validate, and patch software vulnerabilities and achieved a reported 68% score on CWE-bench v1. Google is initially providing the model to selected cyber defenders through its Fairwind Program while strengthening safeguards before expanding access to developers, enterprises, and consumers. Argon is planned to launch at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens receiving a 95% discount from the standard input price.
Learn more
GPT-5.6 Sol Reviews
GPT-5.6 Sol
(1 Rating)
GPT-5.6 Sol is OpenAI’s flagship model in the GPT-5.6 series, built for high-end reasoning, coding, scientific analysis, cybersecurity, and agentic automation. The model is designed to handle complex tasks that require planning, iteration, tool coordination, long-horizon reasoning, and careful execution across multiple steps. GPT-5.6 Sol introduces max reasoning effort, giving the model more time to reason deeply through difficult problems. It also introduces ultra mode, which uses subagents to accelerate complex work and extend capability beyond a single-agent workflow. For coding, GPT-5.6 Sol is positioned for command-line workflows, software engineering tasks, debugging, testing, and multi-step tool use. In biology and quantitative research workflows, the model is designed to support genomics analysis and other long-context scientific tasks while using tokens more efficiently than prior models. For cybersecurity, GPT-5.6 Sol supports legitimate defensive work such as vulnerability research, code review, patch development, security education, and defensive testing. The model includes a layered safeguard stack with trained refusals, real-time cyber and biology misuse classifiers, account-level monitoring, differentiated access, human-in-the-loop review, and ongoing red-team testing. GPT-5.6 Sol helps trusted users and organizations access more powerful AI for technical work while maintaining stronger controls around misuse, sensitive requests, and high-risk activity.
Learn more

Pricing

Pricing Starts At:
$0.15/1M input tokens
Pricing Information:
Input: $0.15 per 1 million tokens; output: $0.60 per 1 million tokens; cached input: $0.015 per 1 million tokens. Standard pay-as-you-go billing in USD, based on token usage.

Integrations

API:
Yes, MiniMax M3.1 Flash has an API
View Integrations

Company Details

Company:
MiniMax
Year Founded:
2022
Headquarters:
China
Website:
www.minimax.io/blog/minimax-m31f

Media

MiniMax M3.1 Flash Screenshot 1
MiniMax M3.1 Flash Screenshot 1
Recommended Products
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Start Free

Product Details

Platforms
Web-Based
Types of Training
Training Docs

MiniMax M3.1 Flash Features and Options

MiniMax M3.1 Flash User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: CTO
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User, Deployment
    Organization Size: 26 - 99
    Ease
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Ridiculously good

    Date: Oct 21 2026

    Summary: Def an excellent everyday agent model. It is fast, cheap, multimodal, and capable enough that I can use it for serious work without constantly stepping up to a much more expensive flagship model.

    Positive: It feels noticeably faster than M3 while still being strong enough for coding, research, computer-use tasks, and longer agent workflows. The 1M-token context window is a big advantage too. I can keep large repos, long documents, screenshots, video context, and a lot of prior agent history in the same session without constantly trimming things down. The pricing is probably the best part. At $0.15 per million input tokens and $0.60 per million output tokens, I can run it heavily without worrying that every agent loop is getting expensive. I also like how much MiniMax improved the agent side. M3.1 Flash is aimed at real multi-step work across coding, enterprise automation, computer use, and even cybersecurity, rather than just fast chat responses.

    Negative: The main downside is that reasoning is always enabled, so it is not quite as lightweight as a pure instant-response model for trivial tasks.

    Read More...
  • Previous
  • You're on page 1
  • Next