NAll news

All news

Tuesday55 items

  1. 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.

  12. QbitAIModel releases
    AI score84

    Google Releases Gemini 4 Argon, Limited-Time Half-Price API

    Google has released its flagship model Gemini 4 Argon, focused on coding, professional knowledge work, and sustained execution of complex tasks. The API launch price is $2 per million input tokens and $10 per million output tokens, with the discount running through November 30; from December 1, prices return to $4 and $20. On the third-party Artificial Analysis Intelligence Index, Argon High ties with GPT-6 Astra Max and Claude Fable5.1 Max at 53 points, at an average cost of $1.99 per task, about 39% lower than Astra. Google says that on an ADK project it worked unattended continuously for 11 hours, proposed six optimization plans involving 32 files, and ran 16,892 tests, two of which were merged, reducing long-session memory preparation overhead by about 40%.

    #Model releases#Google#Multimodal

  13. shao_mengModel releases
    AI score60

    English translation is being prepared.

    Quoted postDeepSeek · @deepseek_ai

    🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

    Same story · 24 reports

    #Model releases#Agents#DeepSeek

  14. Tianyi CuiModel releases
    AI score74

    DeepSeek-V4.1-Flash-1017 Released, Requires Upgrading to DeepSeek Harness 0.2.1-rc.1

    DeepSeek has released DeepSeek-V4.1-Flash-1017, stating that it delivers stronger benchmark performance, faster task completion, and shorter outputs than the previous version, representing a Pareto improvement in performance and cost, and it is now live on the official website, App, and API. The model has been optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and others; using DeepSeek Harness requires upgrading to v0.2.1-rc.1 or a later version.

    Quoted postDeepSeek · @deepseek_ai

    🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

    Same story · 24 reports

    #Product updates#DeepSeek#Model releases

  15. Testing CatalogModel releases
    AI score80

    DeepSeek Releases Open-Weight Model DeepSeek-V4.1-Flash-1017

    DeepSeek releases the open-weight model DeepSeek-V4.1-Flash-1017, scoring 77% on the DeepSWE 1.1 benchmark, surpassing models such as GLM-5.3, Kimi K3, GPT-5.6 Sol, and Opus 5. The model is now available on DeepSeek Chat, the API, and HuggingFace, and the publisher says its performance and cost both improved over the previous version.

    Quoted postDeepSeek · @deepseek_ai

    🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

    Same story · 24 reports

    #Model releases#Open-source ecosystem#DeepSeek