Discussion

• @minimax_ai @minimax_ai on x

  Introducing M2.5, an open-source frontier model designed for real-world productivity. - SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work. - Optimized for efficient execution, 37% faster at complex [i…

• @openhandsdev @openhandsdev on x

  @MiniMax_AI M2.5 performed particularly well on long-running tasks like building apps from scratch, an area where smaller models have traditionally struggled. Also strong on issue resolution and software testing. [image]

• @bytebot Colin Charles on x

  I recommend MiniMax - I use it with Opencode all the time. Great workhorse. You want to try M2.5

• @eliebakouch Elie on x

  wtf, minimax M2.5 benchmark are insane and it's probably the same base model so only 10B active parameters??? [image]

• @thdxr Dax on x

  interesting thing about minimax 2.5 is it's a smaller model considering it's very usable it's a great candidate for home labs also would love to see inference providers try and max out its tokens/s can probably do something crazy [image]

• @zephyr_z9 @zephyr_z9 on x

  This is fucking crazy Input price $0.30/M and output is $1.20/M [image]

• @skylermiao7 Skyler Miao on x

  With M2.5 we're also shipping MiniMax Experts. general agents sound nice until you realize they don't know your stack, your domain, or how you actually work. now you can build experts that do. share yours, grab others'. community already made: clawbot assistant, crypto trading

• @adonis_singh Adi on x

  this might be the year of open weight models all we need now is a whale comeback 🐋

• @fanjiewang Frank Wang on x

  Zen × MiniMax M2.5 - free for a week wait what.. 2.5?! yes sir.. feels like M2.1 just dropped yesterday and now it's already M2.5?! better try it before M2.67 shows up next month

• @scaling01 @scaling01 on x

  Minimax-M2.5 SWE-Bench Verified: 80.2% Multi-SWE-Bench: 51.3% BrowseComp: 76.3% [image]

• @minimax_ai @minimax_ai on x

  Love seeing the benchmarks out in the wild 🚀 MiniMax M2.5 was built for real-world, long-horizon agent workloads - Reliability + performance both matter. Thanks for sharing! 🙌

• @askokara @askokara on x

  China won. This is another deepseek moment MiniMax 2.5 is now the best model in the world > On par with opus 4.6 > SOTA in coding, excel data analysis, deep research, document generation and summarization > Optimized thinking efficiency + 100 tps to achieve 3x faster than opus [i…

• @initjean @initjean on x

  the new MiniMax-M2.5 model is open source, almost on par with Opus 4.6, and way cheaper ($1.20/MTok out) [image]

• @chatgpt21 Chris on x

  Minmax 2.5 is a coding monster 🤯 80.2% on SWE Bench Verified 55.4% on SWE Bench Pro [image]

• @openrouterai @openrouterai on x

  MiniMax M2.5 is live now on OpenRouter! @MiniMax_AI's update to their powerful agentic model M2.1 comes with improved reliability and performance on long running tasks. It's become a powerful general agent, capable of much more than writing code. [image]

• @gneubig Graham Neubig on x

  To be honest, I'm a bit of a skeptic of claims that models are on par with Claude/GPT, but this is definitely one that I feel is getting there. Especially for tasks that focus on code (as opposed to other things like writing, math, etc.) More in the thread above.

• @thdxr Dax on x

  minimax 2.5 is now generally available and free for 7 days in opencode i'm going to try and switch to it as my default so i can get a sense of how it works golden era for opensource models right now

• @gneubig Graham Neubig on x

  MiniMax-M2.5 is a surprising new step in open coding models. The first model where I've been able to independently confirm that it's better than the most recent Claude Sonnet. It showed up in our benchmarks below, and in my vibe checks it felt strong and diverse.

• @skylermiao7 Skyler Miao on x

  my favorite part about M2.5: SOTA without the speed tax. SWE-bench 74 → 80.2, and the best thing — 30% faster. no trade-off.

• @openhandsdev @openhandsdev on x

  @MiniMax_AI At 230B parameters (10B active), it's also relatively lightweight for a frontier-class model. This is the size where local deployment is feasible as well. [image]

• @altryne Alex Volkov on x

  BREAKING: MiniMax just dropped official M2.5 benchmarks and they're going HEAD TO HEAD with Opus 4.6, GPT-5.2, and Gemini 3 Pro 🤯 And Olive Song from @MiniMax_AI is joining ThursdAI LIVE in ~30 min to break it all down @ThursdAI_pod Here are the numbers 👇 [image]

• @synthwavedd Leo on x

  MiniMax M2.5 is here and it goes to to toe with Opus 4.6 & GPT-5.2! [image]

• @askokara @askokara on x

  MiniMax M2.5 one-shotted this It's so over for frontend devs [video]

• @openhandsdev @openhandsdev on x

  @MiniMax_AI The cost-performance tradeoff is remarkable. At ~13x cheaper than Opus, M2.5 opens up use cases that weren't practical before. It's essentially a two-horse race for API-available models at the moment: Opus for max capability, M2.5 for high capability at low cost. [ima…

• @openhandsdev @openhandsdev on x

  Big news for open models: @MiniMax_AI M2.5 is out and it's an excellent+affordable coding model. It ranks 4th in our benchmarks, the first open model to beat Claude Sonnet. Only Claude Opus and GPT-5.2 Codex score higher. Details on scores and limited-time free access below 🧵 [im…

• @itetnaa @itetnaa on x

  There is no fucking way. The Minimax-M2.5 benchmarks are INSANE. [image]

• @minimaxagent @minimaxagent on x

  🧠 Meet Expert Collection from MiniMax Agent A team of specialized AI experts — office productivity in docs, Excel, PDFs & slides, finance in research & McKinsey-style decks, and coding — working together inside MiniMax Agent. Test directly with our showcase queries or bring [vide…

• r/LocalLLaMA r on reddit

  Minimax M2.5 Officially Out