Demis HassabisModel releases
AI score72Demis Hassabis announces the release of Gemini 4 Carbon, saying it achieves SOTA on multiple benchmarks
#Model releases#Evaluations / benchmarks#Safety / alignment
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- Google AIModel releasesAI score73
Google Releases Gemini 4 Carbon, Focused on Cybersecurity and Long-Horizon Task Capabilities
#Model releases#Safety / alignment#Agents
- SenseTimeModel releasesAI score60
SenseTime Open-Sources SenseNova 6.8 Code2Video Model and Skill
#Model releases#Open-source ecosystem#Video
- Artificial AnalysisModel releasesAI score59
NVIDIA releases the Nemotron 3.5 Transcribe speech transcription model, tying for first among open-source models with 2.8% WER
#Evaluations / benchmarks#Speech#Open-source ecosystem
- OpenBMBModel releasesAI score60
OpenBMB Releases MiniCPM-OCR 1.0 and Verification Model Jev
#Model releases#Multimodal#Open-source ecosystem
- Artificial AnalysisModel releasesAI score72
Mistral Large 4 Opens Its Weights, Becoming the Top Non-Chinese Open-Source Model
#Model releases#Open-source ecosystem#Evaluations / benchmarks
- ZhidongxiModel releasesAI score91
Google Releases Gemini 4 Carbon Model, Focused on Long-Horizon Agentic Workflows
Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available for cached input tokens. Carbon adopts a phased rollout strategy, first opening to select cybersecurity defenders, then expanding the range of trusted partners through the Fairwind program, and afterward opening to developers, enterprises, and consumers.
#Model releases#Agents#English text is being prepared.
- ZhidongxiModel releasesAI score72
Chaoyan Intelligence Open-Sources 35B Model Apex-35B-V1.0, with AI Participating in Its Own R&D
Beijing-based large model startup Chaoyan Intelligence has released and open-sourced its first large model, Apex-35B-V1.0, with 35 billion total parameters, approximately 3 billion parameters activated per token, and support for a 262,000-token context window, optimized through mid-training and post-training based on Qwen3.6-35B-A3B. The model scored 60.9 and 40.0 on the paper reproduction test PaperBench and the scientific research challenge test FrontierScience, respectively, higher than GLM-5.3's 42.5 and 30.7; it scored 84.0 on the tool-calling test BFCL V4, higher than DeepSeek-V4.1-Flash-1017's 75.0. The model has been released with open weights under the Apache 2.0 license, and the official release provides approximately 72GB of BF16 weights and GGUF quantized versions at various precisions.
#Model releases#Open-source ecosystem#Agents
- heise onlineModel releasesAI score80
Google releases Gemini 4 Carbon, succeeding Argon and focusing on exploit capabilities
Google releases the new model Gemini 4 Carbon, replacing Argon, which was launched four weeks ago; initially it is available only to U.S. intelligence agencies and cyber defenders selected through the Fairwind program. Google says Carbon improved from Argon's 42% to nearly 55% on the Exploitgym benchmark, leads GPT-6 Astra with about 88% on SEC-bench Pro, and reaches 71% on CWE-bench. Pricing is $4 per million input tokens and $20 per million output tokens, with a 50% discount initially, and public availability is described only as "soon."
#Model releases#Safety / alignment#Agents
- heise onlineModel releasesAI score75
Mistral releases Large 4 and opens the model weights, with improved coding capabilities
Mistral has released the model weights of its flagship model Large 4 (ML4), which was previously available only as an API preview. After three weeks of testing by customers and cybersecurity partners and further training with reinforcement learning, ML4's success rate on Terminal-Bench 4.0 rose from 28% to 41%, and two new reasoning effort levels, Low and Medium, were added. Mistral research lead Pierre Stock said that at equivalent capability the new version uses about 50% fewer tokens than the preview; the weights became available for download on Hugging Face at 19:00 and are also offered through the Mistral API and the coding assistant Vibe.
#Model releases#Open-source ecosystem#English text is being prepared.
- TMTPost · AGIModel releasesAI score73
Google releases Gemini 4 Carbon, topping the Artificial Analysis Intelligence Index with 59 points
Google has released its new-generation flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index v5.0 with 59 points, surpassing Claude Opus 5.5 and GPT-6 Astra. On Terminal-Bench 4.0, the model improved from Argon's 57.1% to 65.2%, and on the GraphWalks long-context test it rose from 84.2% to 96.2%, but developers report that its generation speed is about 2 to 4 times slower than Argon. This week Google first opened it to a small number of cybersecurity defense organizations, then expanded it to trusted partners through the Fairwind program; the opening time for general users has not yet been announced.
#Model releases#Google#Reasoning
- TMTPost · AGIModel releasesAI 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.
#Model releases#Safety / alignment#Google
- Analytics India MagazineModel releasesAI 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.
#Model releases#Safety / alignment#English text is being prepared.
- Analytics India MagazineModel releasesAI 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.
#Model releases#Speech#Open-source ecosystem
- gihyo.jpModel releasesAI 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.
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- gihyo.jpModel releasesAI 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.
#Model releases#Speech#Open-source ecosystem
- Unite.AIModel releasesAI 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.
#Model releases#Open-source ecosystem#Reasoning
- The New StackModel releasesAI 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.
#Model releases#Speech#Open-source ecosystem
- The New StackModel releasesAI 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.
#Model releases#Open-source ecosystem#English text is being prepared.
- SiliconANGLEModel releasesAI 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.
#Model releases#Safety / alignment#English text is being prepared.