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  1. TMTPost · AGIModel releases
    AI score76

    Google Releases Gemini 4 Carbon, Topping the Artificial Analysis Intelligence Index but Not Yet Publicly Available

    On October 28, Google released Gemini 4 Carbon, which topped the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5's 58 and GPT-6 Astra's 57 to reclaim first place. The model is currently available only to a small number of cybersecurity defense personnel; when asked when ordinary developers and enterprises will be able to use it, officials responded only with "as soon as possible." On the GraphWalks ultra-long-context test, Carbon achieved 96.2% F1, far above GPT-6 Astra's 71.8% and Claude Opus 5.5's 66.8%; introductory pricing is $2 per million input tokens and $10 per million output tokens, the same as the previous-generation Argon.

    Same story · 34 reports

    #Model releases#Safety / alignment#Google

  2. Analytics India MagazineModel releases
    AI score82

    Google Releases Gemini 4 Carbon, Focused on Cybersecurity and Coding Capabilities

    On October 28, Google released Gemini 4 Carbon, calling it its most powerful AI model to date, with a focus on improving cybersecurity and coding capabilities; it can identify software vulnerabilities, assess security risks, and generate remediation code. The model scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and Google says these external security evaluations were run without guardrails. Carbon builds on Gemini 4 Argon, released two weeks earlier, and is initially available only to select cybersecurity defenders and trusted partners in the Fairwind Program, with no public access date announced yet; introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 afterward.

    Same story · 34 reports

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

  3. Analytics India MagazineModel releases
    AI score68

    NVIDIA Releases Nemotron 3.5 Transcribe Open-Weight Speech Model, Supporting 40 Languages

    On October 28, NVIDIA released Nemotron 3.5 Transcribe, an open-weight speech model that can transcribe audio in 40 languages, translate speech, and identify speakers, and developers can control the transcription format with natural language instructions without retraining. The model consists of a Transformer speech encoder, a speaker diarization model, and the Nemotron 3.5 Lightning language model, with approximately 4.3 billion activated parameters, and the released checkpoint is labeled 30B-A4B. NVIDIA says it achieves an average word error rate of 4.71% on nine public test sets of the English Open ASR Leaderboard and 4.62% on seven languages of the multilingual leaderboard, and calls it the best open-weight model on both leaderboards; the model is released in BF16, FP8, and NVFP4 formats as well as GGUF files, under the OpenMDW-1.1 license.

    Same story · 9 reports

    #Model releases#Speech#Open-source ecosystem

  4. gihyo.jpModel releases
    AI score87

    Google releases Gemini 4 Carbon, strengthening long-duration development and vulnerability discovery and remediation capabilities

    On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the model was first made available to some cybersecurity defenders and gradually expanded through the Fairwind Program, before later being opened to developers, enterprises, and general users. Announced pricing is $2 per million tokens for input and $10 per million tokens for output.

    Same story · 34 reports

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

  5. gihyo.jpModel releases
    AI score63

    NVIDIA Releases Speech Transcription and Translation Model Nemotron 3.5 Transcribe

    On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English translation. The weights are released on Hugging Face as NVIDIA-Nemotron-3.5-Transcribe-30B-A4B under the OpenMDW-1.1 license, with BF16, FP8, and NVFP4 versions and NeMo Speech fine-tuning tools provided.

    Same story · 9 reports

    #Model releases#Speech#Open-source ecosystem

  6. Unite.AIModel releases
    AI score64

    Baseten Releases 2B Open-Weight Decision Model joey-1

    On October 29, Baseten released joey-1, a 2B-parameter decision model, priced at $0.01 per million tokens. It is now available on Baseten Model APIs and has open weights on Hugging Face. The model was post-trained by the in-house lab Base Labs based on Qwen3.5-2B, and shares the same data recipe and API with mammoth-1 (27B) and elephant-1 (9B), so switching requires only a one-line change. The model card shows that joey-1 scored 63.30 on the public Jev Decision Index 0.4 leaderboard, ranking 37th among 230 models and the highest score among models with fewer than 4B parameters; Baseten says its P50 end-to-end latency for 2000-token requests in production is 20 ms.

    Same story · 3 reports

    #Model releases#Open-source ecosystem#Reasoning

  7. The New StackModel releases
    AI score66

    Nvidia Releases Nemotron 3.5 Transcribe Promptable Transcription Model

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time streaming. Users can provide instructions such as context and terminology before transcription; the model can be deployed with vLLM or run locally on a single GPU via NeMo-Speech.cpp; Nvidia has also released the data curation pipeline Granary v2 and a public manifest of approximately 463,062 hours across 48 languages.

    Same story · 9 reports

    #Model releases#Speech#Open-source ecosystem

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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.

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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.

  18. 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

  19. 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

  20. 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