X：MiniMax

I gave the same Go MMRPG backend spec to two coding agents and then asked Claude to judge the performance. CC (with Sonnet 4.6) 4.6 shipped 1,409 lines of clean, readable code. CyOps with @MiniMax_AI M2.7 shipped 5,271 lines of denser, layered code.

We have also partnered with @MiniMax_AI to provide *free access to agents with MiniMax-M2.7* for a limited time! This is a great opportunity to test out how to mix in cost-effective models into your coding workflows. Try it out here: app.all-hands.dev

Recently, we took time to consolidate all of the work behind M2 and published it here: our M2 paper on arXiv It’s been just over six months since we first open-sourced M2 on December 23 last year. During that time, a number of our ideas and systems have been broadly adopted by the open-source community — including CISPO, Forge RL System, Self-Evolution. Over the past six months, we’ve felt incredible enthusiasm from the open-source community. Nearly every model release reached the #1 spot on the Hugging Face leaderboard. Now it’s time for a new chapter. We’re getting ready for M3. MSA paper is on the road. arxiv.org/abs/2605.26494

Something BIG is coming

Meet Colin, Lexi, and Gizmo. One is part of Gradium's GTM team. One is his dog. And one is the AI assistant he built himself. This is their day in Paris. Video

We added 600+ new voices on Together AI! Introducing MiniMax Speech 2.8 Turbo on Together AI, an enterprise TTS model for expressive real-time voice agents. AI natives can now deploy @MiniMax_AI Speech 2.8 Turbo on Together AI dedicated infrastructure, and try the voices directly in voice finder. Video

MiniMax M2.7 is now on OrcaRouter 🐋 One of the strongest open-source models available today — now accessible through a single OpenAI-compatible API. Pricing: Input: $0.30 / 1M tokens Output: $1.20 / 1M tokens Cache read: $0.06 / 1M Cache write: $0.375 / 1M Use @MiniMax_AI and more: orcarouter.ai/models/minimax…

Finally met Leanna from @MiniMax_AI, and grateful for letting me early test the models! Eager about the next one! 👀👀

Minimax 🔥🔥🔥 shipping across modalities

Kill your SaaS with Zo Computer – Live from Singapore 🇸🇬 nitter.net/i/broadcasts/1qKVmQBbk…

Multi-agent's quiet problem: token cost scales with agents × turns × tool calls. It compounds fast , and that's the bill that kills production rollouts. @MiniMax_AI is now a native adapter in @JackChen_me's open-multi-agent, so goal-driven agent teams stay affordable in production, not just in demos. 👇 github.com/open-multi-agent/…

dAI <> @MiniMax_AI one of the leading teams in open source AI hosted us in Shanghai we discussed the infra we’re building for the open agent economy, multiagent AI, security grateful to meet head of eng @SkylerMiao7 - he shared impressive work on agent orchestration & feedback

Introducing the Cline SDK. We rebuilt the Cline harness for our extension and CLI from scratch using all the lessons learned since creating one of the world's first coding agents in 2024, and are open sourcing it for others to build with today. npm i @​cline/sdk 🧵 Video

We're excited to announce our partnership with @MiniMax_AI! Read more at getlilac.com/blog/minimax-m2…

SF builders — last call. May 16–17: join the Notion team to build on our new Developer Platform. Sync data into Notion, tool-enabled agents, triggers anywhere. No servers. Just a CLI + your ideas. With support from @OpenAI @AnthropicAI @vercel @MiniMax_AI @PlanetScale Grab your spot: luma.com/fyuf7?utm_source=af…

Really glad to meet the @NVIDIAAI team in China. Looking forward to deeper collaboration between @MiniMax_AI and @nvidia on inference optimization for next-generation models. BTW, a quick preview: MiniMax’s latest sparse solution is coming soon. 🥰

Working as a public company in the ever-changing space of voice x AI: "The public market doesn't get it. You still need to deliver things quarter over quarter." Linda Sheng of @MiniMax_AI joins @EricNewcomer at Cerebral Valley Voice: Video

MiniMax M2.7 is now running FASTEST on SambaCloud 🚀 Built for coding, OpenClaw, and self-evolving agent workflows. Available today across Enterprise & Dev tiers. Try it now: sambanova.ai/blog/build-self…

AI Gateway lets you route to any model. On May 13 in SF, we're hosting a builder night powered by those models. Pick one, build, demo. Audience votes on best build. With @AnthropicAI, @MiniMax_AI, & @Kimi_Moonshot Sign up ↓ luma.com/ttrgmjaf

MiniMax-M2.7 is now available across six inference providers on Artificial Analysis, with significant differentiation in speed and price @SambaNovaAI leads on speed at 435 output tokens/s, >3x faster than any other provider. @FireworksAI_HQ, @novita_labs, @togethercompute, and @GMI_cloud have all matched @MiniMax_AI's first-party API pricing, while SambaNova is 2x higher. Key takeaways: ➤ Fireworks and SambaNova are on the Pareto frontier for Speed vs. Price. At 127 output tokens/s and ~$0.22 per 1M tokens blended, Fireworks is ~2.2x faster than MiniMax's first-party API at the same blended price, whereas SambaNova delivers 435 output tokens/s but at ~2-3.5x the blended price of the other providers (depending on cache usage) ➤ SambaNova is the fastest provider at 435 output tokens/s, ~3.4x the next fastest provider (Fireworks at 127 output tokens/s). The remaining providers run substantially slower: MiniMax’s first-party API at 57 output tokens/s, Novita at 54, GMI at 41, and Together AI at 29 ➤ Cache discounts vary across providers. Fireworks, MiniMax, Novita, and Together AI offer 80% cache hit discounts, while GMI and SambaNova do not offer a discount. For cache-heavy workloads, this can materially increase the relative pricing for GMI and SambaNova ➤ Optimal provider choice depends on workload. SambaNova may be more suited to latency-sensitive deployments, albeit at a higher cost, while Fireworks may be more suitable for high-volume workloads that are not as latency-sensitive

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Great night at the AI Champions Dinner in SF. Huge thanks to @MiniMax_AI, @Unicorner, and @bolt_new for bringing this group together @EricSimons @tweetsbygarrett ! The highlight of the night was the conversation around how we shift AI from just a product collaboration tool into something that drives genuine human connection. That is exactly how we are building at @wati_io. AI handles the complexity, so you can connect with humans at scale. 📷📷

We're partnering with @MiniMax_AI — the core model powering Mira Best price-to-quality ratio we've tested. Built in Shanghai, used by 236M+ users worldwide. Fast, multimodal, and scales. The future of AI agents runs on great infrastructure 🤝

Music-2.6 from @MiniMax_AI is free on Cloudflare this week! Generate full-length songs or instrumentals from a text prompt, with optional auto-generated lyrics. Fast global inference on Cloudflare’s network. Perfect for building music apps on #CloudflareWorkers. Try it free before the promo ends: developers.cloudflare.com/ai…

Minimax week on AI/ML API: - Music-2.6 is free - Video & TTS models 30% off - LLMs 10% off If you haven't tried @MiniMax_AI yet - now is the best time. Video