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Wednesday42 items

  2. QbitAIModel releases
    AI score60

    Memory Tensor Open-Sources MemT 1.0 Series Memory-Native Models

    Memory Tensor has open-sourced and released the MemT 1.0 series of memory-native models, including MemT-1.0-Nano with 36B parameters and 3B activated (based on Qwen3.6-35B-A3B) and MemT-1.0-Flash with 288B parameters and 17B activated (based on DeepSeek-V4-Flash), adding a memory computation pathway parallel to attention in selected Transformer modules. The team built a 34-billion-token memory training corpus, of which 20 billion tokens were used for continued pre-training and 14 billion for post-training. In a comprehensive evaluation across 11 memory benchmarks, Flash and Nano achieved average scores of 50.6 and 47.0, respectively, ranking in the top two among the parametric memory methods evaluated; on 500 SWE-bench Verified tasks, the proportion of tasks that Nano succeeded on all three attempts rose from 54.00% for the no-experience baseline to 62.80%.

    Same story · 3 reports

    #Model releases#Open-source ecosystem#English text is being prepared.

  3. QbitAIModel releases
    AI score82

    MiniMax Releases M3.1 Flash Model, ALE Score of 29.6% Ranks First Among Domestic Models

    MiniMax officially released M3.1 Flash, formerly known as Space Bunny (Yutu), which previously topped the charts anonymously on OpenRouter. The model scores 29.6% on Agents' Last Exam, ranking first among domestic models, and scores 43 on the AA leaderboard; it achieves 73.7% on DeepSWE v1.1, 82.2 points on CyberGym, 76.2 points on BankerToolBench, tying for first with Claude Opus 5, and 61.7 points on OSWorld V2. The model adopts a sparse attention architecture, with output speeds of up to 200+ TPS and a median of 170+ TPS, input at 1 yuan per million tokens, output at 4 yuan, and cache reads at 0.1 yuan, with comprehensive usage costs reduced by 70% compared to the previous generation M3.

    Same story · 19 reports

    #Model releases#Agents#English text is being prepared.

  4. Titanium Media · AGIModel releases
    AI score78

    MiniMax Releases M3.1 Flash, Tested Frontend Coding Capabilities

    MiniMax claimed the anonymous model Space Bunny on October 19 and officially released M3.1 Flash, which uses a sparse attention architecture with 428B total parameters and about 23B activated, nearly 3x faster inference, 70% lower usage cost, and pricing of 1 yuan per million input tokens, 4 yuan for output, and 0.1 yuan for cache reads. Model weights will be open-sourced on October 23, and the official announcement previews a Pro version with a higher intelligence ceiling coming soon. The author replaced the community-viral cases with four new questions of the same type for retesting, and believes its frontend Coding capabilities improved noticeably while retaining the self-verification behavior of proactively opening a browser to trial and error.

    Same story · 19 reports

    #Model releases#English text is being prepared.#Open-source ecosystem

  7. testingcatalogModel releases
    AI score58

    English translation is being prepared.

    Quoted postMistral AI · @MistralAI

    Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵 https://t.co/YA9HNVfq0u

    Same story · 6 reports

    #Model releases#Speech#Open-source ecosystem

  8. OpenRouterFirst-partyModel releases
    AI score60

    Mistral's Voxtral 3 launches on OpenRouter, including two speech transcription models and one speech synthesis model

    OpenRouter announced that Mistral's Voxtral 3 is now available. The series includes two new speech transcription models and one new speech synthesis model, covering more than 50 languages. Mistral officially states that Voxtral 3's Transcribe and Speech models power its new voice agents API.

    Quoted postMistral AI · @MistralAI

    Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵 https://t.co/YA9HNVfq0u

    #Product updates#Speech#Model releases

  10. Arthur MenschModel releases
    AI score60

    Mistral Releases Voxtral 3 Speech Model with Real-Time Speaker Diarization and Turn Detection

    Mistral has released Voxtral 3, comprising the Transcribe and Speech models, to power its new voice agents API. Co-founder Arthur Mensch added that Voxtral can perform speaker diarization and end-of-turn detection on the fly, and can be deployed either on your own infrastructure or via Mistral's cloud service.

    Quoted postMistral AI · @MistralAI

    Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵 https://t.co/YA9HNVfq0u

    #Product updates#Speech#English text is being prepared.

  11. Matt TurckModel releases
    AI score60

    Gradium open-sources the Phonon on-device TTS model suite, with all models under 50m parameters

    Gradium open-sources the Phonon on-device speech synthesis model suite, with all models under 50m parameters, focused on multilingual naturalness and accuracy, and claims to offer the broadest inference support to date. Phonon-31m is released under the Apache 2.0 license. Matt Turck reposted this news.

    Quoted postGradium · @GradiumAI

    A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. https://t.co/d3qa9qmnzY🧵

    #Model releases#Speech#English text is being prepared.

  12. Rohan PaulModel releases
    AI score53

    SoMark open-sources the 1.3B document parsing model OXR, ranking first on three benchmarks

    SoMark has open-sourced the 1.3B document parsing model OXR, which ranks first on olmOCR-Bench, OmniDocBench, and DocParsingBench, achieves 3.05x the throughput of GLM-OCR on a single RTX PRO 6000, and is the fastest open-source result in the speed comparison. OXR introduces RSI during post-training: a VLM evaluates its own outputs, rollout divergence flags uncertainty, and a separate clustering model attributes it, based on which the next round of targeted data is generated. Rohan Paul calls OXR the first model to use RSI in document parsing, with the GitHub link in the comments.

    Quoted postSoMark · @somarkai

    Beyond OCR. Meet OXR. Only 1.3B. Open source. #1 on olmOCR-Bench, OmniDocBench & DocParsingBench🏆 #1 in parsing speed among open-source models⚡ RSI-powered. A first in document parsing. Turn documents into Agent-Friendly data. If OXR helps, give us a star on GitHub! 🌟 https://t.co/kQlsq8oIdN

    #Model releases#Open-source ecosystem#Reasoning

  14. falModel releases
    AI score68

    fal claims FLUX 3 Max scored 1,139 Elo in third-party evaluations, ranking in the top tier of image-to-video

    fal states that FLUX 3 Max achieved 1,139 Elo in third-party benchmark evaluations, entering the top tier of frontier image-to-video models based on independent human preference assessments. The model was launched through a collaboration between fal Research and bfl_ai; earlier introductions said its image-to-video quality tied for first in independent third-party benchmarks, and it can generate 10-second, 720/768p videos in about 12 seconds. fal Research says it is continuing post-training of the model and will subsequently improve quality and performance.

    Quoted postfal · @fal

    Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai. FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds. For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.

    #Evaluations / benchmarks#Video#Image generation

  16. Artificial AnalysisModel releases
    AI score62

    Mistral releases the Voxtral 3 speech model series, including TTS and three transcription models

    Mistral releases the Voxtral 3 speech model series, including one text-to-speech model and three speech-to-text models (Small Transcribe 3, Mini Transcribe 3, Mini Transcribe Realtime 3). Artificial Analysis evaluations show that Voxtral Small Transcribe 3 ranks 3rd on the speech-to-text leaderboard with a 2.1% AA-WER Index, ahead of ElevenLabs Scribe v2 at 2.2% and Grok Voice Transcribe 2.0 at 2.3%; Voxtral 3 TTS ranks 12th (out of 98) on the Provider Voice leaderboard with an Elo of 1,218, priced at $13/1M characters.

    Same story · 2 reports

    #Model releases#Speech#Evaluations / benchmarks