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  1. QbitAIModel releases
    AI score72

    Moss Intelligence and OpenMOSS open-source the 5B image generation model MOSS-Image, surpassing one million downloads in 4 days

    Moss Intelligence and the OpenMOSS team have open-sourced MOSS-Image, a 5B-parameter text-to-image model, which surpassed one million downloads within 4 days, gained 1.4k Stars on GitHub, and topped the Hugging Face text-to-image trending list. The model adopts a single-stream diffusion Transformer architecture pretrained from scratch, combined with a frozen Qwen3.5-9B text encoder and FLUX.2 VAE, and supports text input of up to 4096 tokens and structured JSON Layout control. On the Long Long Text Benchmark, it achieved a Mean-6 text coverage rate of 96.3%; on the 7Bench layout control benchmark, it achieved 0.88 target localization mIoU and 0.70 layout AUC. The community has already released 8-step and 4-step acceleration schemes as well as INT8 quantized and GGUF versions.

    #Model releases#Open-source ecosystem#Image generation

  2. 36Kr · AIModel releases
    AI score86

    Kimi releases K3.1 Pro: 3 trillion parameters, million-token context, coding and Agent capabilities approaching Opus 5.5

    On October 24, Kimi released Kimi K3.1 Pro, the first model in the K3.1 series. It has 3 trillion-level parameters and supports a million-token context, with a focus on strengthening coding, 3D creation, financial research, and long-horizon Agent capabilities, and it simultaneously launched a Highspeed version with output speed increased by about 2–3 times. On Terminal-Bench 4.0, K3.1 Pro scored 65.7%, surpassing GPT-6 Astra's 58.2% and within less than 1 percentage point of Claude Opus 5.5's 66.4%; in internal tests on financial scenarios, the single-item factual error rate dropped from 23.4% for K3 to 8.3%. The model is already available on kimi.com, the Kimi App, Kimi Work, and Kimi Code, and the full weights will be released before November 4. For the API, cached-hit input costs 1.3 yuan per million tokens, cache-miss input costs 13 yuan, and output costs 68 yuan; community feedback has centered on subscription quotas being consumed too quickly, and Artificial Analysis measured that it cumulatively output about 150 million tokens in the Intelligence Index test, higher than the model median of 87 million tokens.

    Same story · 34 reports

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

  3. SiliconANGLEModel releases
    AI score79

    Moonshot AI releases Kim K3.1 Pro flagship model with 3T parameter scale

    Moonshot AI releases Kim K3.1 Pro, a post-training upgrade of Kimi K3 released in July; Kimi K3 consists of 896 neural networks with 3T total parameters, activating only 16 of them per inference. The new model scores 92.7% on the 3D modeling coding benchmark BenchCAD, 65.7% on Terminal-Bench 4.0, and surpasses Astra and Claude Opus 5.5 on OfficeQA Pro v2. The model is now live on Moonshot AI's paid cloud service, with weights planned to be open-sourced on November 4.

    Same story · 34 reports

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

  4. Analytics India MagazineModel releases
    AI score60

    Chariot releases Chariot-1-ASR Realtime, supporting real-time speech recognition in 10 Indian languages

    Chariot released the real-time speech recognition model Chariot-1-ASR Realtime on October 22, supporting 10 Indian languages including Hindi, Marathi, Bengali, and Tamil, as well as Indian English, and it is now available on the Chariot platform. The company says it tested on 79 public test sets and about 153,000 recordings; in batch mode the error rate is 26% lower than Google Gemini 3.5 Transcribe and 9% lower than Sarvam Saaras v4; in streaming mode it is 17% lower than Sarvam Saaras v4 and 57% lower than ElevenLabs Scribe v2 Realtime, and these results all come from Chariot's self-testing. The model offers balanced and high-accuracy modes, can automatically identify the language, and supports writing borrowed English words in English letters or the corresponding language's script.

    #Model releases#Speech#Multimodal

  5. Shao MengModel releases
    AI score82

    Moonshot AI Releases Kimi K3.1 Pro: A 3T-Class Open-Weight Model Strengthening Coding, 3D and Finance Agents

    Moonshot AI has released Kimi K3.1 Pro, calling it the strongest 3T-class open-weight model, featuring a 1M-token context and multimodal capabilities. It simultaneously launched a Highspeed version that is about 2–3× faster, with full weights planned to be open-sourced before 2026-11-04. The model scores 65.7% on Terminal-Bench 4.0, above GPT-6 Astra's 58.2% and slightly below Claude Opus 5.5's 66.4%; it scores 92.7% on BenchCAD with tools and 64.4% on OfficeQA Pro v2. The open-weight version removes cyber-related data from both mid-training and RL, and its xdev-bench-hard score drops from 90.5% to 81.0%.

    Quoted postKimi.ai · @Kimi_Moonshot

    Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

    Same story · 34 reports

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

  6. Kimi.aiFirst-partyModel releases
    AI score87

    Kimi releases K3.1 Pro open-weight model, 2.8T total parameters, 1M token context

    Kimi releases K3.1 Pro, its strongest 3T-class open-weight model, using a MoE architecture with 2.8T total parameters and 104B activated parameters, supporting a 1M token context and multimodality. Officially it is claimed to match the strongest closed-source models on coding, agent, and knowledge benchmarks, and to support full-project game development in Unreal, Unity, and Godot as well as parametric 3D modeling in Blender and CAD, with hallucinations in financial scenarios reduced by 65%. K3.1 Pro and K3.1 Pro Highspeed, which is 2–3 times faster, are already live on the Kimi official website, Kimi Work, Kimi Code, and the Kimi API, with open weights planned for release on November 4, 2026.

    Same story · 34 reports

    #Model releases#Open-source ecosystem#Agents

  8. Ayi AI NotesModel releases
    AI score84

    Kimi Releases 2.8T Flagship K3.1 Pro, Tops SWE Marathon with a Score of 51.7

    Kimi has released its multimodal flagship model K3.1 Pro, with 2.8T total parameters and 104B active parameters (MoE), and a standard 1M-token context window. The author says it tops the SWE Marathon leaderboard with a score of 51.7, overtaking Opus 5.5 and GPT-6 Astra, and the company has also promised to open-source the full weights by November 4. K3.1 Pro and K3.1 Pro Highspeed, which is 2–3× faster, are now live on the Kimi web app, Kimi Work, Kimi Code and the Kimi API.

    Quoted postKimi.ai · @Kimi_Moonshot

    Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

    Same story · 34 reports

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

  9. AYi AI NotesModel releases
    AI score83

    Kimi K3.1 Pro Pricing Announced: $2 per Million Tokens Input, $10 Output

    Kimi K3.1 Pro costs $2 per million tokens for input, $10 for output, and $0.20 for cache hits; the Highspeed version doubles both input and output prices. The author says its price is only two-thirds that of K3, and that it overtakes Opus 5.5 and GPT-6 Astra head-on on SWE Marathon.

    Quoted postAYi · @AYi_AInotes

    English text is being prepared.

    Same story · 34 reports

    #Industry news#Evaluations / benchmarks#Model releases

  12. Testing CatalogModel releases
    AI score85

    Kimi Releases K3.1 Pro: A 2.8T Total-Parameter, 104B Active MoE Open-Source Model

    Kimi officially released Kimi K3.1 Pro, a 3T-class open-weight model built on a MoE architecture with 2.8T total parameters and 104B active parameters, supporting a 1M-token context and multimodality. The company says it performs comparably to leading models such as Opus 5.5 and GPT-6 Astra on benchmarks while costing significantly less, and that hallucinations in financial modeling scenarios dropped by 65%. Kimi K3.1 Pro and K3.1 Pro Highspeed, which is 2–3× faster, are now available on the Kimi platform, Kimi Work, Kimi Code, and the Kimi API, with open weights to be released on November 4.

    Quoted postKimi.ai · @Kimi_Moonshot

    Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

    Same story · 34 reports

    #Model releases#Open-source ecosystem#Multimodal

  13. Testing CatalogModel releases
    AI score58

    Jack Dorsey releases full-duplex speech model Dessa

    Jack Dorsey announced the launch of the full-duplex speech model Dessa, calling it the most realistic full-duplex speech model to date, with conversations featuring emotion, tone changes, pauses, and natural rhythm. The model is trained only on voice conversations, without using text data or pretrained models, and currently only demo samples are available. Dorsey said speech is the most natural way to interact with intelligence.

    Quoted postjack · @jack

    We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence. https://t.co/r0qFLdvd6c

    Same story · 10 reports

    #Model releases#Speech

  14. OpenRouterFirst-partyModel releases
    AI score82

    Kimi K3.1 Pro launches on OpenRouter, 1M context, 2.8T parameter MoE open-weight model

    Kimi K3.1 Pro is now live on OpenRouter; it is a 1M-context multimodal open-weight model post-trained from Kimi K3, targeting long-horizon coding and agent tasks, priced at $2 per million input tokens and $10 per million output tokens. According to Kimi_Moonshot, the model is a 3T-class open-weight model with 2.8T total parameters and 104B activated parameters (MoE), excelling at full-project coding in Unreal, Unity, and Godot and at parametric 3D modeling in Blender and CAD, with financial modeling hallucinations reduced by 65%, and it is said to match the strongest closed-source models on coding, agent, and knowledge benchmarks. Kimi K3.1 Pro and the 2–3x faster K3.1 Pro Highspeed are now available on the Kimi platform, Kimi Work, Kimi Code, and Kimi API, with weights to be opened on November 4, 2026.

    Quoted postKimi.ai · @Kimi_Moonshot

    Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

    Same story · 34 reports

    #Product updates#Open-source ecosystem#Agents

  15. Tencent HunyuanFirst-partyModel releases
    AI score55

    Tencent Hunyuan open-sources interactive video world model Hy-Nomas

    Tencent Hunyuan releases the open-source free-form interactive video world model Hy-Nomas, which supports interaction using text prompts and camera trajectories, and features long-horizon generation with world memory. The model can be adapted to specialized domains such as robotics via lightweight LoRA, and has been optimized for consumer-grade GPU inference. The official release also provides website, GitHub, Hugging Face, and demo entry points.

    #Model releases#Open-source ecosystem#Video

  17. UnslothFirst-partyModel releases
    AI score72

    NVIDIA releases Nemotron-3.5-Bolt-E4B, which can run locally on 6GB of memory

    NVIDIA releases Nemotron-3.5-Bolt-E4B, which can run locally on devices with 6GB of memory, targeting on-device devices such as phones. The model is trained based on Gemma 4, supports vision, and Unsloth also provides GGUF files and a guide link. NVIDIA says it targets scenarios such as local assistants, interactive characters, and robots that can converse and call tools.

    Quoted postNVIDIA AI · @NVIDIAAI

    Available now: NVIDIA Nemotron 3.5 Bolt E4B 4GB ⚡️ Our newest small open model is built for local assistants, interactive characters and robots that can carry on a conversation and use tools to get things done. Watch Reachy Mini chat and move, with Bolt handling conversation and NVIDIA Cosmos handling vision. Both models run locally on Jetson Orin Nano 8GB. Learn more: https://t.co/B8ODaWMn0O

    Same story · 2 reports

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

  18. ArenaModel releases
    AI score77

    Kimi K3.1 Pro released, rises to 8th on Code Arena WebDev

    Moonshot AI released Kimi K3.1 Pro, which ranks 8th on Code Arena WebDev with 1,692 points, matching Claude Opus-5 (Max) while costing 70% less, and rising 9 places from Kimi K3 (Max)'s 17th. The model is priced at $2/$10 per million input/output tokens, with a median cost of $1.23 per task, 29% lower than Kimi K3, and its weights will be opened on November 4. Kimi officially calls it a 3T-class open-weight model, featuring a 1M-token context, a 2.8T total parameter/104B active parameter MoE multimodal architecture, and a 65% reduction in hallucination rate.

    Quoted postKimi.ai · @Kimi_Moonshot

    Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

    Same story · 2 reports

    #Evaluations / benchmarks#English text is being prepared.#Open-source ecosystem

  19. Artificial AnalysisModel releases
    AI score78

    Kimi K3.1 Pro Released, Ranks Fourth with an Artificial Analysis Intelligence Index Score of 55

    Moonshot AI released the reasoning model Kimi K3.1 Pro, which scored 55 on the Artificial Analysis Intelligence Index, ranking fourth, an 11-point improvement over Kimi K3's 44 points, behind only Claude Opus 5.5 (58), Claude Sonnet 5.5 (56), and Muse Wonder Full (56). Its agentic capabilities improved markedly: it ranks third on GDPval-AA with 1846 Elo, scores 67% on Terminal-Bench 4.0 (Kimi K3 scored 13%), and rose from 58% to 73% on AutomationBench-AA. The model has a 1M-token context window, 2.8T total parameters with 104B activated parameters, supports text and image inputs, is priced at $2/10/0.20 per 1M input/output/cache-hit tokens, and its weights have not yet been released.

    Same story · 6 reports

    #Model releases#Reasoning#Agents

  20. Rohan PaulModel releases
    AI score77

    Moonshot AI Releases Kimi K3.1 Pro, Scoring 65.7% on Terminal-Bench 4.0

    Moonshot AI has released Kimi K3.1 Pro, its first updated version, which scores 65.7% on Terminal-Bench 4.0—0.7 points lower than Claude Opus 5.5 and 7.5 points higher than GPT-6 Astra—while its average cost per task is lower than both. The model is a 3T-class open-weight MoE model with 2.8T total parameters and 104B active parameters, supports a 1M-token context and multimodality; in a tool-augmented hallucination stress test, its false-claim rate dropped from 23.4% in K3 to 8.3%. K3.1 Pro and the 2–3× faster Highspeed version are now available in the Kimi app and API, with full weights scheduled for release on November 4.

    Quoted postKimi.ai · @Kimi_Moonshot

    Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

    Same story · 34 reports

    #Model releases#Agents#Reasoning