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Tuesday55 items

  6. Unite.AIModel releases
    AI score77

    Inception releases flagship diffusion large model Mercury 3

    Inception released the diffusion-architecture large model Mercury 3 on October 19, 2026, claiming it surpasses GPT-6 Luna and Claude Haiku 5.5 on multiple benchmarks, reaches a speed of 1068 tokens/s on NVIDIA GPUs, and increases the context window from 260,000 in Mercury 2.5 to 1 million tokens. The launch price is $0.10 per million input tokens and $0.35 for output, with regular pricing at $0.20 and $0.70, and cached input at $0.02. Mercury 3 can be accessed via the Inception API, OpenRouter, Baseten, and Vercel, and is compatible with the OpenAI API; Mercury 2 and 2.5 are no longer available to new users, and existing customers can use them until November 15, 2026.

    Same story · 3 reports

    #Model releases#Reasoning#Agents

  12. Fireworks AIFirst-partyModel releases
    AI score77

    Meta's open-weight model Muse Spark Open launches on Fireworks: 816B parameters, 1M context

    Meta's open-weight model Muse Spark Open is available on Fireworks from day one of launch. It is an 816B-parameter MoE model that activates 42B parameters per token, with a 1M-token context window, targeting long-horizon coding and agentic tasks. Fireworks says it ranks first among 75 models on Vals AI's Harvey legal agent benchmark with 25.4%, nearly 4 times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench it surpasses Claude Opus 5.5 at every difficulty level. Fireworks validated the weights with its own production stack, scoring 91.1% on AIME26, 89.7% on GPQA Diamond, and 84.3% on SWE-bench Verified, and reproduced consistent results with SGLang.

    Same story · 2 reports

    #Product updates#Model releases#English text is being prepared.

Monday4 items

  1. AYi AI NotesModel releases
    AI score50

    MiniMax Claims Blind-Test Model Space Bunny, Confirms It as MiniMax-M3.1-Flash

    MiniMax officially claimed Space Bunny, a model tested anonymously on an overseas blind-test platform, confirming it as MiniMax-M3.1-Flash. The model supports a generation speed on the order of one hundred words per second and a one-million-token context; community tests measured generation speed steady at 85 to 112 words per second, capable of running through complex 3D scenes and code builds in a single pass within three minutes, and achieving near-imperceptible response in multi-file project repairs. The author believes this approach of anonymous blind testing first and public claiming afterward turns inference speed and million-token context into efficiency tools usable for everyday coding.

    Quoted postAYi · @AYi_AInotes

    English text is being prepared.

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

  2. Ayi AI NotesModel releases
    AI score66

    MiniMax Claims Blind-Test Model Space Bunny, Confirms It as MiniMax-M3.1-Flash

    MiniMax officially tweeted to claim the mysterious model Space Bunny on an overseas blind-test platform, confirming it as the upcoming MiniMax-M3.1-Flash. The model had previously drawn developer attention in blind tests with a speed of about 100 words per second and a one-million-token context window; community tests measured generation speed steady at 85 to 112 words per second, and it can run through complex 3D scenes and code builds in a single pass within three minutes, and respond quickly in multi-file project repairs.

    Quoted postMiniMax (official) · @MiniMax_AI

    Welcome back. Space Bunny. 🚀 MiniMax-M3.1-Flash is coming. https://t.co/geIOTBBLRr

    Same story · 19 reports

    #Model releases#Reasoning#Agents

Sunday21 items

  4. ZhidongxiModel releases
    AI score87

    DeepSeek V4.1-Flash updated to V4.1-Flash-1017 and opens search and fetch APIs

    DeepSeek V4.1-Flash has been updated to version V4.1-Flash-1017; the official web, App and API have been updated in sync, and the model weights are available for download on HuggingFace and ModelScope. In the DeepSWE v1.1 test, the new model's max tier achieved a single-task pass rate of 77.0%, 2.8 percentage points higher than the previous version, and the average cost per task dropped from about 3.3 yuan to about 1.3 yuan. DeepSeek also opened to the public the Search and Fetch APIs of its self-developed search engine; both interfaces are priced at 5 yuan per thousand calls, and this part of access via server-side tool calls will be charged per call starting from 00:00 Beijing time on November 1.

    Same story · 24 reports

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