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MiniMax M3.1 Flash Launches with 70% Lower Agentic AI Costs

MiniMax released its M3.1 Flash model on October 19, 2026, claiming major gains in speed and efficiency for agentic AI applications at flat API rates of $0.15 input and $0.60 output per million tokens.

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YasTech Editorial
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Modern enterprise data center with rows of high-density AI server racks and fiber cabling for MiniMax inference.

MiniMax launched the M3.1 Flash model on October 19, 2026, positioning it as a direct successor to the June 2026 M3 release. The new model targets agentic AI, coding, computer use, and cybersecurity workloads with vendor-reported improvements in speed and cost efficiency. Early versions operated under the codename Space Bunny on platforms such as OpenRouter, processing more than 200 trillion tokens before the public announcement.

MiniMax M3.1 Flash Pricing and Speed Claims

The API uses flat pricing of $0.15 per million input tokens, $0.60 per million output tokens, and $0.015 per million cached input tokens. MiniMax states that overall usage costs for agentic tasks drop by 70 percent compared with the prior M3 model. Online inference runs nearly three times faster, with median output speeds above 170 tokens per second and peaks exceeding 200 tokens per second through increased sparsity.

Software engineer workstation with keyboard, notes, and monitor evaluating MiniMax AI model performance.
Engineers test automated agent workflows against lowered inference pricing structures.

Technical specifications include a 1-million-token context window, support for text, image, and video inputs with text output, and always-on reasoning across five effort levels from Low to Max. The architecture uses a mixture-of-experts design with approximately 428 billion total parameters and roughly 23 billion active parameters per token. Independent evaluations placed the model at 42 on the Artificial Analysis Intelligence Index, an increase from 29 on the earlier M3 version.

Company benchmarks report 73.7 percent on DeepSWE v1.1, 61.7 percent on OSWorld V2, 29.6 percent on Agents’ Last Exam, 76.2 percent on BankerToolBench, and 82 percent on CyberGym. These scores reflect performance on enterprise automation and security tasks, though one independent test noted a high hallucination rate when the model attempts most questions.

Availability, Background, and Next Steps

Access is available immediately through the MiniMax API at platform.minimax.io, the M Plan subscription tier, and the MiniMax Code desktop application. Limited free tiers appear on certain third-party platforms. Model weights remain closed at launch but are scheduled for release on October 23, 2026, according to multiple reports.

The model builds on prior stealth testing that began around September 23, 2026. MiniMax has indicated that a higher-capability Pro variant will follow later. Users can begin testing cost and latency claims through the current API endpoints while waiting for open weights and additional third-party agent benchmarks.

Enterprise teams evaluating LLM pricing for agentic workflows can compare these rates directly against existing providers by running identical task suites. Early adopters should monitor real-world token consumption and hallucination rates on their specific automation and cybersecurity use cases before committing to larger deployments.

Frequently asked questions

What is the input and output price for MiniMax M3.1 Flash?

The model charges $0.15 per million input tokens and $0.60 per million output tokens. Cached inputs cost $0.015 per million tokens.

When will MiniMax release the M3.1 Flash weights?

Open weights are scheduled for October 23, 2026. The API and desktop app remain available now.

How does MiniMax M3.1 Flash compare with the earlier M3 model?

MiniMax reports nearly 3x faster inference and 70% lower costs on agentic tasks. The new model also adds a 1-million-token context window and five reasoning effort levels.

What workloads does the model target?

It focuses on agentic AI, coding, computer use, and cybersecurity tasks. Benchmarks include automation and security evaluations such as CyberGym and OSWorld V2.

By YasTech Editorial

Comments 3

Liam R
finally something that could make building agents actually affordable at scale. the $0.60 output price looks promising for long tool-calling loops.
Priya
wonder how the context window compares to the current o1-mini pricing. anyone already running head-to-head tests?
sara_k
at those rates, the savings on a 10k daily call agent would be huge for us. hope latency stays consistent under load.

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