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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 WillisonOct 14, 2026Score 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 AIOct 14, 2026Score 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%).

MarkTechPostOct 13, 2026Score 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.

MarkTechPostOct 12, 2026Score 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.

MarkTechPostOct 12, 2026Score 85

Cloudflaremultimodal AI modelsMixture-of-Experts