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Friday77 items

  1. The New StackModel releases
    AI score74

    Mistral Open-Sources Mistral Large 4 Weights, Leading GLM-5.3 by 1 Point on Coding Benchmark

    Mistral released the weights of its frontier open-source model Mistral Large 4 (ML4) on Hugging Face on Thursday; the model had only been available in preview three weeks earlier. Mistral calls ML4 "the world's best open-source agentic coding model," scoring 41% on Terminal-Bench 4.0, slightly above GLM-5.3's 40%, and says it uses an average of 47% fewer tokens per task than GLM-5.3; it scored 79% on the CyberGym E2E defensive cybersecurity test, compared with 29% for GLM-5.3. Mistral Vice President of Science Pierre Stock called ML4 merely a "stepping stone" and confirmed that smaller versions will be released in the coming months, one of which can run on a laptop.

    Same story · 15 reports

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

  2. SiliconANGLEModel releases
    AI score79

    Google Releases Flagship Model Gemini 4 Carbon, Strengthening Cybersecurity Capabilities

    Google has released the frontier large language model Gemini 4 Carbon, focused on complex programming and cybersecurity tasks. Google says internal testing shows its ability to generate secure code is more than twice that of the previous generation, that it surpasses the previous record on SEC-bench Pro, and that it can better patch discovered vulnerabilities; in Terminal-Bench 4.0, only 0.4% of problems involved attempted cheating, and none succeeded, while in the Gray Swan IPI Benchmark it blocked all simulated indirect prompt injections. Carbon will open early access later this week through the Fairwind Program to organizations such as internet service providers, and Google plans to refine its guardrails based on feedback before making it broadly available.

    Same story · 34 reports

    #Model releases#Safety / alignment#English text is being prepared.

  3. SiliconANGLEModel releases
    AI score81

    Mistral Opens the Weights of Mistral Large 4, a 1-Trillion-Parameter Natively Multimodal Model

    Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardware and behind their firewalls, and the model offers three reasoning modes: low, medium, and high.

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Multimodal

  4. AI BusinessModel releases
    AI score67

    OpenAI Releases GPT-6.1 Terra, Priced 50% Lower Than the Previous Version

    OpenAI has released a new model, GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output tokens, 50% cheaper than GPT-6.1 Sol's $2 and $10. OpenAI says the model is fast and efficient, combining visual reasoning with precise computer operation, and excels at tasks such as drafting proposals, filling out forms, and editing videos. This is OpenAI's fourth consecutive model price cut, and Anthropic also cut the price of Haiku 5.5 by 90% in October.

    Same story · 32 reports

    #Model releases#OpenAI#Reasoning

  5. 9to5GoogleModel releases
    AI score78

    Google Releases Gemini 4 Carbon, Claiming Significant Improvements in Coding and Agentic Tasks

    Two weeks after the release of Argon, Google announced its next-generation frontier model Gemini 4 Carbon, claiming significant improvements in coding, agentic tasks, and cybersecurity defense. Carbon ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and rose 89 elo to 1769 points on WebDev Arena, ranking fourth. On safety, Google says Carbon reduces unsupported claims by about 2x compared with Argon, reduces excessive overreach behavior by 26%, and reduces under-service by 29%. The model will first be made available to cybersecurity defenders this week, followed by rollout to developers, enterprises, and consumers.

    Same story · 34 reports

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

  6. NumeramaModel releases
    AI score67

    Mistral Large 4 open-weight release: improved coding and safety capabilities, API price halved

    Mistral AI released the open weights of Mistral Large 4 (codename Le Chonk) on Hugging Face on October 29. The model has 100 billion parameters out of a total parameter scale of the 100-billion class, with about 4.9 billion parameters actually invoked per token, using a MoE architecture with 128 experts, of which 4 are activated each time plus 1 shared expert. Compared with the October 6 preview version, Mistral says it continued reinforcement learning over three weeks, raising the Terminal-Bench 4.0 score from 28% to 41%; the Artificial Analysis coding index is 48%, on par with GLM-5.3 while using an average of 47% fewer tokens per task. API pricing drops to $0.70 per million input tokens and $2.10 per million output tokens; the new Mistral Ecosystem Open-Weight License permits commercial use, but reselling model services requires a separate agreement, and the full version requires 8 Nvidia B200 or B300 GPUs.

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Hugging Face

  7. CNETModel releases
    AI score74

    Google Releases Two New Models: Gemini 4 Carbon and Genie 4

    Google has released the large language model Gemini 4 Carbon and the world model Genie 4; the former surpasses its own Gemini 4 Argon and OpenAI's GPT-6 Astra on comprehensive capability benchmarks. Gemini 4 Carbon focuses on vulnerability detection and patching and is currently available only to select cybersecurity experts; Genie 4 adds audio capabilities, allowing developers to add background sound and dialogue to AI worlds, and a waitlist is now open.

    Same story · 34 reports

    #Model releases#Google#Multimodal

  8. The DecoderModel releases
    AI score89

    Google DeepMind releases Gemini 4 Carbon, just two weeks after Argon

    Google DeepMind launched Gemini 4 Carbon two weeks after the release of Argon. The model scored 59 on the Artificial Analysis Intelligence Index v5.0, higher than Argon's 50, ranking first. Carbon is designed for long-horizon engineering tasks, rose to 1769 points and fourth place on WebDev Arena, and reduced the attack success rate from 0.7% to 0.0% on the Gray Swan indirect prompt injection benchmark. The model is first being made available to select cybersecurity experts, priced at $2 per million input tokens and $10 per million output tokens, in line with Argon's introductory pricing.

    Same story · 34 reports

    #Model releases#Google#Reasoning

  9. The DecoderModel releases
    AI score68

    Mistral Releases Mistral Large 4 Weights: Coding Ability Leads Open-Source Models but Overall Trails Chinese Models

    Mistral has released the weights of Mistral Large 4 on Hugging Face. The model, nicknamed Le Chonk, has approximately 1 trillion parameters with 52 billion activated per step, and supports text and image inputs. On Terminal-Bench 4.0, its score rose from 28% in the preview version to 41%, slightly above GLM-5.3's 40%, but on the new version of the Artificial Analysis Intelligence Index it scored only 26 points, below the 32 points of DeepSeek V4.1 Flash and GLM-5.3. API pricing is $0.70 per million input tokens and $2.10 per million output tokens, under a modified MIT license; using it as a commercial cloud service requires separate authorization.

    Same story · 15 reports

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

  10. The Verge AIModel releases
    AI score76

    Google Releases Gemini 4 Carbon, Claims Significant Leap in Cybersecurity Capabilities

    Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon at $2 per million input tokens and $10 per million output tokens.

    Same story · 34 reports

    #Model releases#Safety / alignment#English text is being prepared.

  11. Wired AIModel releases
    AI score66

    Mistral says its trillion-parameter open-source model Le Chonk surpasses Chinese models in coding and cybersecurity

    Mistral has released the official version of Le Chonk, a trillion-parameter open-weight model, calling it the world's best open-weight model in automated coding and cybersecurity, and making it freely available. Pierre Stock, Mistral's VP of Science, said the model was trained on increasingly difficult cybersecurity and coding problems, enabling it to match or surpass models from Chinese labs such as DeepSeek and Z.ai. Stock also stressed that the West needs its own advanced open-weight models, because closed models can be shut down remotely, whereas open weights cannot have access cut off once released.

    #Model releases#Open-source ecosystem#Safety / alignment

  12. English text is being prepared.Model releases
    AI score68

    DiffuSpace Open-Sources Clover-35B-A3B-Preview Diffusion Language Model

    AI lab DiffuSpace has released Clover-35B-A3B-Preview, the first model in the Clover series, built on a MoE architecture and open-sourced under the Apache license. The model generates results through multiple rounds of iterative generation; DiffuSpace claims it outperforms the same-scale autoregressive model Qwen3.6-35B-A3B on multiple benchmarks while maintaining faster generation speeds, and is particularly strong at agentic coding and tool-use tasks.

    Same story · 2 reports

    #Model releases#Open-source ecosystem#Agents

  13. English text is being prepared.Model releases
    AI score76

    Mistral AI Opens the Mistral Large 4 Model Weights: 1T Parameters, 49 Billion Activated Parameters

    On October 29 local time, Mistral AI officially opened the model weights of Mistral Large 4 (codename le Chonk). This is a natively multimodal model with 1 trillion total parameters and 49 billion activated parameters, trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in its own data center in Europe. The company says it scores 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but consumes 47% fewer Tokens per task on average. The model is released under a modified MIT license: personal, academic, fine-tuning, and conventional commercial use are free, while cloud providers offering MaaS resale need to obtain a separate commercial license; online API pricing is $0.70 per million input Tokens and $2.10 per million output Tokens.

    Same story · 15 reports

    #Model releases#Open-source ecosystem#Multimodal

  14. Latent SpaceModel releases
    AI score83

    Google DeepMind releases Gemini 4 Carbon, topping Artificial…

    Google DeepMind has released Gemini 4 Carbon, which ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59 and leads in 4 of 9 evaluations including HLE-Diamond and TB-Science. The model focuses on cybersecurity and long-horizon tasks, claiming 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and is initially available only to trusted cybersecurity personnel through the Fairwind Program. In terms of specifications, it supports a 1M token context and 1M maximum output, with input covering text, images, video, and speech, and output in text; Artificial Analysis lists a standard price of $4/$20 per million input/output tokens, plus a 50% launch discount.

    Same story · 34 reports

    #Model releases#Google#Safety / alignment

  15. China.com TechnologyModel releases
    AI score77

    Google Releases Gemini 4 Carbon Large Model, with a Focus on Enhancing Cybersecurity Capabilities

    Google has launched its new-generation large model Gemini 4 Carbon, focusing on cybersecurity and long-horizon complex task handling, and it ranks first with an overall score of 59 on the Artificial Analysis Intelligence Index v5.0. On WebDev Arena, the model improved by 89 Elo points over the previous generation to 1769 points, ranking fourth; internal testing shows that its success rate in outputting secure code is more than twice that of Gemini 4 Argon. Pricing is initially the same as Gemini 4 Argon: during the promotional period, input is $2 per million tokens and output is $10 per million tokens. This week it is being made available for trial to a small number of cybersecurity practitioners on a priority basis.

    Same story · 34 reports

    #Model releases#Safety / alignment#Agents

  16. Ant Group inclusionAI: New GitHub RepositoryFirst-partyModel releases
    AI score59

    Ant Group's inclusionAI Open-Sources 2B Visual Forensics Model DefakerOne2

    Ant Group's GuangJian team has open-sourced DefakerOne2 on GitHub, a 2B-parameter unified visual forensics model built on the Qwen3.5-2B multimodal backbone, covering AI-generated content, DeepFake faces, document tampering, natural image tampering, face and ID anti-counterfeiting, and AI-generated video detection. The model was trained on approximately 50 million samples, employs a three-stage Tide-Style Tuning process from LoRA to full parameters and back to LoRA, and uses entropy-based test-time routing to select between the video and frame pathways. The team claims that it achieves SOTA on 40 of 53 detection benchmarks and on 11 of 14 localization benchmarks, and that the weights and the RRVBench benchmark have been released on ModelScope.

    GitHub

    #Model releases#Open-source ecosystem#Multimodal

  17. Hugging FaceFirst-partyModel releases
    AI score60

    NVIDIA Releases Nemotron 3.5 Transcribe and Granary v2 Data Pipeline

    NVIDIA has released the open-weight model Nemotron 3.5 Transcribe on Hugging Face and ModelScope, integrating transcription, speaker diarization, translation, and audio question answering into a single checkpoint. It supports transcription in 40 languages, translation between 31 languages and English, and speaker labeling in 13 languages, can process recordings up to 1 hour long, and can label up to 8 speakers. The model ranks first among open-weight models on the English leaderboard of the Hugging Face Open ASR Leaderboard with an average WER of 5.33%, and achieves 2.8% AA-WER on Artificial Analysis with approximately 4B activated parameters. The simultaneously released Granary v2 covers 48 languages and 463,062 hours of speech data, and the accompanying NeMo Speech fine-tuning recipe reduced WER on held-out speakers from 22.44% to 12.17% in a medical case.

    Same story · 9 reports

    #Model releases#Speech#Open-source ecosystem

  18. Baseten Engineering BlogFirst-partyModel releases
    AI score68

    Baseten releases decision model joey-1, with P50 latency of 20ms and $0.01 per million tokens

    Baseten's Base Labs has released joey-1, a 2B decision model that directly outputs a single-token label and calibrated confidence, with a P50 end-to-end latency of 20ms, about 2.5 times faster than elephant-1 (49ms), at a price of $0.01 per million tokens, one-tenth that of mammoth-1. joey-1 is post-trained from Qwen3.5-2B and shares the same data recipe and API with elephant-1 and mammoth-1, so switching requires changing only one line. The model is now available on Baseten Model APIs, with zero data retention by default, and its weights are open-sourced on Hugging Face; Model APIs supports a 16k context window, while dedicated deployments can unlock a 262k context window and support fine-tuned weights.

    joey-1

    Same story · 3 reports

    #Model releases#Reasoning#Open-source ecosystem

  19. The Rundown AIModel releases
    AI score66

    Google DeepMind releases the Genie 4 world model, which can generate sound effects and converse with characters in the scene

    Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checkers, with each move planned by Gemini 4 Argon, pointing to Genie's future use in robot training.

    Same story · 28 reports

    #Model releases#Multimodal#Google

  20. The Rundown AIModel releases
    AI score70

    Google releases Gemini 4 Carbon, topping 15 of 17 benchmarks

    Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $10 per million output tokens, half that of Opus 5.5, doubling after the discount period to Opus's rates. Google has not announced when it will broaden access.

    Same story · 34 reports

    #Model releases#Google#Reasoning