Live intelligence

Latest AI updates

24 updates

Models

Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It

Meta has launched Muse Wonder and Muse Wonder Full, frontier models aimed at long-running agent work such as coding, legal, finance, and computer use. Muse Wonder is available via Meta Model API and Muse Code at $4/$20 per 1M tokens, while Muse Wonder Full is limited to paid Muse Code plans starting at $50/month. Both offer 1M-token context and text, image, video, and audio input, and run only on Meta’s cloud. In Meta’s published benchmark table, Muse Wonder Full leads 6 of 14 rows and Muse Wond

MarkTechPost4d agoScore 77

MetaMuse Wonderfrontier models

Models Editor selected

llm-gemini 0.35 adds support for Gemini 4 Argon

Simon Willison released llm-gemini 0.35, adding support for Google's new Gemini 4 Argon model, available via the Gemini API and a $100/month subscription. At launch, Argon is priced at $2 per million input tokens and $10 per million output tokens, with a planned price doubling on December 1st. Artificial Analysis data shows Argon costing $2,407 to run their benchmark, placing it close to GLM-5.3 and cheaper than recent models from OpenAI, Anthropic, and Meta. The post also includes SVG generatio

Why it matters: Provides developers with timely, concrete details on a new Gemini model's pricing, benchmark cost, and real-world performance for model selection.

Simon Willison4d agoScore 83

Gemini 4 ArgonGoogleLLM pricing

Models

Google releases Gemini 4 Argon

Google has launched Gemini 4 Argon, its long-awaited frontier AI model, after months of sitting out the frontier race. The company claims Argon offers frontier reasoning and better performance across complex workflows while reducing hedging, repetition, and cliches. Google says Argon outperforms GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5 across benchmarks in areas including coding, cybersecurity, science, finance, and law. Google also says it is already using Argon internally.

The Verge AI4d agoScore 73

GoogleGemini 4 Argonfrontier AI models

Models

Z.ai releases GLM-Legal, a legal AI model scoring 19.17% on Harvey LAB

Z.ai has released GLM-Legal, a legal AI model built on GLM-5.3-Flash, targeting contract review, evidence analysis and compliance research. It scores 19.17% on Harvey's Legal Agent Benchmark (LAB), nearly three times its base model's 6.67%, ranking #7 of 79 on Vals AI. Access is application-only with no published price or weights, and it underperforms its base on Vals AI's Legal Research Bench (41.83% vs 45.19%).

MarkTechPost4d agoScore 78

Z.aiGLM-LegalLegal AI

Models

TII Releases Falcon-ASR: 1.6B Arabic Speech Model Hits 20.92% WER

The Technology Innovation Institute (TII) has released Falcon-ASR, a 1.6B-parameter Arabic speech recognition model focused on the Emirati dialect that also handles English, French, Spanish, and Portuguese. TII reports a 20.92% average word error rate across six Arabic test sets, claiming a 2.25-point improvement over Audar-ASR-V1-Turbo. However, the model is currently available only as a hosted Hugging Face demo, with no published weights, license, or API, and all scores are self-reported.

MarkTechPost6d agoScore 74

Falcon-ASRTIIArabic speech recognition

Models Editor selected

Cloudflare Releases Clef-omni, a 30B-A3B Multimodal Decision Model

Cloudflare released Clef-omni, an open-weight Apache-2.0 decision model that scores text, images, audio and video in a single call. It is post-trained from Qwen3-Omni-30B-A3B-Instruct as a 30B-total/3B-active MoE with 64,000-token context on Workers AI, priced at $0.15 per million tokens. Cloudflare reports strong intent classification results (97.7 macro-F1 on CLINC150+OOS) but weaker scores than text-focused Clef on reasoning and workflow evals, and Cloudflare's benchmark numbers were not inde

Why it matters: It documents a concrete new open-weight multimodal model release with architecture, pricing, latency and benchmark details useful for developers building multimodal agent pipelines.

MarkTechPost6d agoScore 85

Cloudflaremultimodal AI modelsMixture-of-Experts