[KongchangAI]
ModelM3.1 Flash Preview

M3.1 Flash

A lightweight, high-speed large language model released by MiniMax, designed for fast, low-latency inference in high-concurrency and latency-sensitive business scenarios.

Core Facts

Timeline (last 90 days)

Oct 29

vLLM provided Day-0 support for MiniMax M3.1 Flash on the day it was released.

Unverified50%
Oct 29

vLLM integrated three serving-stack configurations for M3.1 Flash: native NVFP4 KV cache, NVFP4 MoE weights, and DSpark speculative decoding.

Unverified50%
Oct 29

Whether a model can be delivered by a host under an SLA is an important signal of its engineering maturity.

Unverified50%
Oct 29

Engineering improvements related to MiniMax M3.1 Flash are being upstreamed to vLLM.

Unverified50%
Oct 29

@inferact provides SLA-guaranteed inference hosting services for MiniMax M3.1 Flash.

Unverified50%
Oct 26

M3.1 Flash's output speed reaches 200+ tokens per second.

Unverified50%
Oct 26

M3.1 Flash reduces costs on agent tasks by 70%.

Unverified50%
Oct 26

M3.1 Flash's online speed is about 3 times that of the previous generation.

Unverified50%
Oct 26

The officially stated 3x speed and 70% cost reduction are vendor-supplied figures, and actual performance depends on task type, context length and concurrency conditions.

Unverified50%
Oct 26

M3.1 Flash has only 3 comments in the Product Hunt comment section.

Unverified50%

25 more timeline events

All Facts (20)

Verified

M3.1 Flash can be called via the AI SDK, Chat Completions, Responses, and the Anthropic Messages API, with the model name minimax/minimax-m3.1-flash.

75%
Verified

The official name of MiniMax M3.1 Flash is `MiniMax-M3.1-Flash`, positioned as a frontier multimodal coding model with a 1 million context window and adjustable thinking depth.

65%
Partially Verified

MiniMax M3.1 Flash is available on AIHubMix for token-billed calls under the model ID `minimax-m3.1-flash`, with input priced at $0.165 per million tokens and output at $0.66 per million tokens.

65%
Unverified

MiniMax M3.1 Flash uses a MoE architecture with approximately 428B total parameters and approximately 23B activated per token.

60%
Unverified

vLLM integrated three serving-stack configurations for M3.1 Flash: native NVFP4 KV cache, NVFP4 MoE weights, and DSpark speculative decoding.

50%
Unverified

Engineering improvements related to MiniMax M3.1 Flash are being upstreamed to vLLM.

50%
Unverified

Whether a model can be delivered by a host under an SLA is an important signal of its engineering maturity.

50%
Unverified

@inferact provides SLA-guaranteed inference hosting services for MiniMax M3.1 Flash.

50%
Unverified

M3.1 Flash has only 3 comments in the Product Hunt comment section.

50%
Unverified

The officially stated 3x speed and 70% cost reduction are vendor-supplied figures, and actual performance depends on task type, context length and concurrency conditions.

50%
Unverified

M3.1 Flash reduces costs on agent tasks by 70%.

50%
Unverified

M3.1 Flash's online speed is about 3 times that of the previous generation.

50%
Unverified

M3.1 Flash received 112 votes and ranked 4th on Product Hunt.

50%
Unverified

M3.1 Flash's output speed reaches 200+ tokens per second.

50%
Unverified

MiniMax M3.1 Flash targets scenarios such as agentic tasks, coding, computer use, and cybersecurity.

50%
Unverified

MiniMax M3.1 Flash is currently offered only in API form, with weights still to be released later.

50%
Unverified

If you are already using the MiniMax Flash series, M3.1 is worth an A/B test, focusing on latency and stability in long-text scenarios.

50%
Unverified

The version change from M3 to M3.1 is a minor-version iteration, implying targeted tuning rather than an architecture-level rewrite.

50%
Unverified

If you are still waiting to see, the information in this M3.1 Flash release alone is not enough to support a migration decision; you need to wait for third-party evaluations and real-world cases.

50%
Unverified

The official positioning of M3.1 Flash is as an agentic model.

50%

Source Articles