How good is MiniMax M3.1 Flash? @VictorSuOrtiz (@MiniMax_AI) and Fireworks' @sophiamyang go live Oct 28 at 10 AM PT to break down what's new, what it's built for, and how to use it on Fireworks today. Set a reminder:

Open weights. Shared progress. MiniMax H3 is moving fast. We built H3 for video generation with native stereo audio and multimodal reference control. The open-source community is making that capability faster, more accessible, and easier to build on. Recent highlights: • FastH3 — FastVideo, Nuva Lab and NVIDIA: 4-step distillation, now running on DGX Spark and Apple Silicon. • Sol-H3 — NVIDIA’s SANA team: 15 seconds of 768p video + audio in 6.6 seconds on 8×B300, in the team’s warm-inference benchmark.* • VDN — Haocheng Xi and the OpenVDN team: rethinking attention for faster H3 inference, with weights, training and inference code released. • PDD — NVIDIA’s distillation method, brought to H3 by Alibaba PAI as 8-step Acc-LoRAs, now supported in ComfyUI. • LightX2V — 4- and 8-step Turbo LoRAs, with workflows for text, image and reference-conditioned video + audio. Behind every release are people training, optimizing, quantizing, testing and sharing. Special thanks to: @haoailab @nuvalab @NVIDIAAI @xieenze_jr @HaochengXiUCB @ArashVahdat @julberner @LightX2V @ComfyUI And to the individual contributors pushing the work forward: @haozhangml @cxlcl1 @lawrence_cjs @yitongli165665 @haopengl33 @songhan_mit @shanasaimoe Thank you for building with H3 and helping make it faster, more accessible, and more useful for the community. Powerful models go further when we build together. Keep pushing H3. Excited to see what comes next. 🚀 Explore the ecosystem:

Today @MiniMax_AI released the open weights for MiniMax M3.1 Flash – available now on Tenstorrent Cloud. Explore in the playground or connect to your agent harness. Start building →

We have another release you don’t want to miss. @MiniMax_AI M3.1 Flash is now live on Fireworks, day 0 with the open-weights release. Built for agents that run long, multi-step work: → Cowork automation: 62.8 on AutomationBench-AA → Coding: 73.7% on DeepSWE v1.1 → Visual reasoning: 91 on BabyVision → $0.15 input / $0.60 output / $0.015 cached per 1M tokens, half the price of M3 We've heard your feedback that you want more models on serverless. So we're launching more models in preview mode, starting today with M3.1 Flash, available for two weeks. We'll be watching demand, and if the community likes it, we'll keep it around. Try it now →

Day-0 support for @MiniMax_AI M3.1 Flash is live in TokenSpeed. DSpark speculative decoding and MXFP8 + NVFP4 mixed precision on Blackwell. TokenSpeed is featured in the official deployment guide. 📖 👉

minimax m3.1 flash is now live on together ai we’re excited to be a day-0 launch partner for the model, aka space bunny m3.1 flash is built for agentic tasks, coding, computer use + cybersecurity, with a 1m context window and vision support try it now

Today, we are announcing a strategic partnership with @MiniMax_AI to advance frontier production inference for open-source models. The Inferact Platform has served MiniMax M3.1 Flash in production since the day it launched. Requests through the MiniMax platform are routed to our stack alongside MiniMax’s own capacity, after we met MiniMax’s vendor verification requirements for accuracy and reliability. The Inferact Platform serves this agentic workload with guaranteed SLAs and auto-tunes the endpoint against live traffic, while MiniMax keeps control of how its model is served. Inferact also leads day-0 @vllm_project support for each MiniMax release, so the model serves at production quality the day the weights ship. The engineering from both efforts is upstreamed to vLLM. Thanks to the MiniMax team for the partnership. Read the full announcement:

Space Bunny is here! 🐰 MiniMax M3.1 Flash hits >1K tok/s, bs1 decode with SGLang, production-ready from Day 0. This integration is a joint effort by @MiniMax_AI, @NVIDIAAI, @AMD, and @radixark, and you can also run RL with Miles! -Broad hardware support: NVIDIA Blackwell and Hopper (GB300/B300/B200/H200), plus AMD Instinct MI350X and MI355X. -Agentic serving at scale: ~100K total tok/s per GPU on the AgentX coding-agent trace with 96 concurrent sessions. -Speculative decoding: Supports MiniMax's DSpark draft and a DFlash2 draft trained by @radixark; supports HiCache and multimodal input. -Ultra-low-latency inference: MegaKernels deliver 2.15× faster single-request decode.

You’ve probably already used it: Space Bunny pushed 200T+ tokens before anyone knew it was MiniMax-M3.1-Flash. Now it’s open weights 🔥 Thank you @MiniMax_AI for open sourcing it! Day-0 fine-tuning in NVIDIA NeMo-AutoModel ✅ FSDP2, expert, pipeline, and context parallelism, ✅scaling up to 128 GPUs, and the NVFP4 checkpoint loads directly.

Save your longest agent run for Wednesday. MiniMax M3.1 Flash goes free on 0G Private Computer for 3 days, from Oct 21, 13:00 UTC. No balance needed, just an API key. Point your Hermes Agent at it.