MiniMax M3.1 Flash Generator
One flat-priced endpoint for agent, coding, computer-use and security work
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minimax m3.1 flash

MiniMax M3.1 Flash accelerates agent, coding and computer-use jobs, combining 200+ TPS output with roughly 70% lower token spend.

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Discover our comprehensive AI-powered animation toolkit

MiniMax M3.1 Flash for Complex Agent and Code Work

Built from the anonymous Space Bunny system, MiniMax M3.1 Flash has been tested on enterprise automation, software engineering, computer operation and security workloads.

  • Multi-Step Agent Automation
    Posts top-tier AutomationBench-AA results and 76.2 on BankerToolBench, completing SaaS workflows across sales, marketing, operations, service, finance and HR.
  • Code Comprehension and Repair
    Scores 73.7% on DeepSWE v1.1, handling code reading, feature development, bug fixes and test-based validation over long task chains.
  • Real-World Computer Operation and Security
    Records 61.7 on OSWorld V2 and 29.6 on Agents' Last Exam for live-environment control, plus 82% on CyberGym for finding and verifying vulnerabilities.

Three Steps to Start with MiniMax M3.1 Flash

Move from initial setup to production-ready agent workloads in three practical steps.

Capabilities Built into MiniMax M3.1 Flash

Quicker generation, predictable low token pricing, and proven performance in automation, coding, computer use and security engineering.

Sparser Serving for Higher Speed

Deeper sparsity in the serving stack pushes everyday output past 200 TPS, with P50 staying above 170 TPS, making online inference nearly three times faster.

Simple, Low Token Rates

$0.15 per 1M input tokens, $0.60 per 1M output tokens and $0.015 per 1M cached input reduce overall agentic spend by roughly 70% versus the previous model.

SaaS Workflow Execution at Scale

A leading AutomationBench-AA position and 76.2 on BankerToolBench show multi-step planning, financial compliance and linked tool calls inside live SaaS environments.

Software Development on DeepSWE

A 73.7% score on DeepSWE v1.1 puts it near leading models on hard software tasks that need independent code reading, feature building, defect repair and test checks.

Computer Use in Real Environments

Scores of 61.7 on OSWorld V2 and 29.6 on Agents' Last Exam, first among Chinese models on both, demonstrate tool use and task delivery in live environments.

Security Engineering Assistance

An 82% CyberGym score, supported by internal expert review, spans code auditing, vulnerability patching, penetration testing, malware analysis and reverse engineering at low cost.

FAQ

MiniMax M3.1 Flash Questions Answered

Find answers on MiniMax M3.1 Flash pricing, output speed, benchmark results and access options.

1

What is MiniMax M3.1 Flash?

It is MiniMax’s newer Flash model, developed from the anonymous Space Bunny system that handled more than 200 trillion tokens, with advances in agent work, coding, computer use and cybersecurity.

2

What does it cost per million tokens?

Pricing is flat: $0.15 per 1M input tokens, $0.60 per 1M output tokens and $0.015 per 1M cached input, making overall agentic use roughly 70% less expensive than the prior model.

3

Why is inference nearly three times faster?

Greater sparsity in the serving stack lifts routine output to 200+ TPS while keeping median (P50) speed above 170 TPS.

4

Which benchmarks support these results?

It posts a top-tier AutomationBench-AA position, 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam and 82% on CyberGym.

5

How can I access the model?

Use the MiniMax API at platform.minimax.io, an M Plan subscription or MiniMax Code, with the desktop build available from agent.minimax.io/download; weights are planned later.

6

How does Flash compare with the Pro model?

Flash continues MiniMax’s work on balancing efficiency and capability, while Pro, focused on extending intelligence limits, is scheduled for a later release.

Put MiniMax M3.1 Flash to Work

Pick the MiniMax API, an M Plan subscription or MiniMax Code to put demanding agent, code, computer-use and security jobs into production, with roughly 70% lower spend and nearly 3x faster inference.