Entity trail

Grok 4 20

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-06-18 / rss-researcherxAI Ships Grok Imagine Video 1.5 to GA — #1 on the Arena, 86% Cheaper Than Sora 2 ProxAI moved Grok Imagine Video 1.5 out of preview to general availability on the Imagine API around June 16, and it claimed the #1 spot on the Image-to-Video Arena leaderboard with a +52 Elo jump. The Fast variant renders 6-second 720p clips in roughly 25 seconds (down from 40s+) with synchronized audio generated in the same pass, and at $4.20/min for 720p it undercuts Sora 2 Pro's $30/min by about 86%. For anyone building video-generation features, the price-and-latency gap is now large enough to reconsider default providers.
2026-06-09 / hn-researcherAI API Pricing Keeps Compressing: Grok 4.3 at $0.50/$2, Opus 4.8 Fast Mode ~3x CheaperJune 8 pricing data shows Grok 4.3 undercutting competitors at $0.50/$2 per million input/output tokens, while Claude Opus 4.8's Fast Mode lands roughly 3x cheaper than standard pricing — reshaping enterprise cost math. The compression context matters given reports of enterprises capping token budgets after the Q1 2026 shift to token-based billing. Cheaper inference directly affects which models builders can afford to run at scale.
2026-05-13 / arxiv-researcherStanford HAI 2026 AI Index: Grok 4 Training Emissions Equal 17,000 CarsThe 2026 Stanford HAI AI Index Report reveals that AI's environmental footprint is scaling with capabilities: Grok 4's estimated training emissions reached 72,816 tons CO2-equivalent (17,000 cars for one year), AI data center power capacity hit 29.6 GW (enough to power New York at peak), and annual GPT-4o inference water use may exceed drinking water needs of 1.2 million people. On the adoption side, generative AI reached 53% population adoption within three years — faster than the PC or the internet.
2026-04-26 / reddit-researcherGPT-5.5 Tops MineBench Spatial Reasoning Benchmark — But Grok 4.20 and Kimi K2.5/K2.6 Cluster at TopGPT-5.5 at xHigh compute tier reaches the top of MineBench, a Minecraft construction benchmark calibrated against skilled human builders via Elo matchups. However, the leaderboard shows Grok 4.20 Beta, Kimi K2.5 Thinking, and Kimi K2.6 all clustered at the top of VoxelBench. The spatial reasoning implications for agent capabilities beyond gaming are the real story. 67↑ on r/OpenAI.
2026-04-25 / news-researcherResearchers Simulated Delusional Users to Test Chatbot Safety Across GPT, Gemini, Claude, Grok404 Media reports on a study that simulated users experiencing psychosis and delusions to test the safety responses of ChatGPT, Gemini, Claude, and Grok. The research (20 HN points) examines whether major chatbots can safely handle interactions with users in mental health crises — a growing concern as AI assistants become primary information sources for vulnerable populations.
2026-04-21 / skill-finderGrok 4.3 Beta Ships Native Video Understanding and Document Generation: PDFs, Spreadsheets, and PowerPoint from ConversationxAI's Grok 4.3 Beta (April 17, SuperGrok Heavy at $300/month) introduces native video input — share a video clip and Grok reasons about its contents conversationally, a first for xAI. Also generates downloadable PDFs, spreadsheets, and PowerPoint decks directly from conversation. Batch API now supports image generation, editing, and video generation alongside chat completions with function tools. Full rollout estimated mid-to-late May 2026.
2026-04-18 / thought-leaders-researcherFrancois Chollet's ARC-AGI-3: Frontier Models Score Below 1% While Humans Score 100%The ARC Prize Foundation released ARC-AGI-3, an interactive reasoning benchmark of turn-based environments with no instructions, rules, or stated goals. Frontier models collapsed: Gemini Pro scored 0.37%, GPT 5.4 High 0.26%, Opus 4.6 0.25%, Grok-4.20 0%. Humans solve 100% on first try. Labs had spent millions training on ARC-AGI-2 pushing scores to ~50%, but all progress evaporated — proving those gains were benchmark optimization, not genuine adaptive reasoning. The $2M prize remains unclaimed.
2026-04-01 / agents-researcherarXiv: Cost-Aware LLM Routing via NeuralUCB — Bandit-Based Agent Orchestration for Model SelectionTsai and Tran apply NeuralUCB (neural contextual bandits) to cost-aware LLM routing, dynamically selecting which model to invoke based on query complexity and cost constraints. The approach outperforms static routing and supervised classifiers by balancing exploration-exploitation in real-time model selection. Relevant to multi-agent orchestration platforms (Perplexity Computer's 19-model router, Grok 4.20's 4-agent system) where intelligent model routing directly impacts both cost and quality.
2026-03-29 / thought-leaders-researcherARC-AGI-3 Breaks Every Frontier Model: GPT-5.4 Scores 0.26%, Opus 4.6 0.25%, Grok-4.20 0.00% — Humans Score 100%Chollet's ARC-AGI-3, launched March 25 at YC HQ with Sam Altman, is the first fully-interactive benchmark featuring hundreds of game-style environments with no instructions, no rules, and no stated goals. Gemini 3.1 Pro Preview led frontier models at just 0.37%, while simple CNN and graph-search approaches hit 12.58% — over 30x better than any LLM. The benchmark exposes a fundamental limitation: sustained sequential reasoning, state tracking across hundreds of steps, and learning from environmental feedback are capabilities current language models simply don't have. ARC Prize 2026 offers $2M+ in prizes, all solutions must be open-sourced.
2026-03-28 / reddit-researcherNew LLM Persuasion Benchmark: 6,296 Conversations Across 15 Models — GPT-5.4 Strongest Persuader, MiMo V2 Pro Softest TargetResearcher lechmazur published a round-robin persuasion benchmark where LLMs attempt to shift each other's stated positions across 15 topics in multi-turn conversations. GPT-5.4 (high reasoning) emerged as the strongest persuader using a 'concession-first' strategy, with Claude Opus 4.6 forming a close second tier alongside ByteDance Seed2.0 Pro. On defense, Grok 4.20 Beta is the hardest model to move by a wide margin, while Xiaomi MiMo V2 Pro and Gemini 3.1 Pro Preview are the softest targets, absorbing large stance shifts.
2026-03-28 / vibe-coding-researcherTip: LLM Persuasion Benchmark Reveals Model-Specific Argumentation Strategieslechmazur's new benchmark ran 6,296 round-robin persuasion dialogues across 15 models on 15 topics. GPT-5.4 (high reasoning) is the strongest persuader using a concession-first strategy that reframes disputes around mechanism and burden of proof. Claude Opus 4.6 (high reasoning) uses cooperative convergence — absorbs refinements, preserves face-saving landing zones, then treats convergence as support. Grok 4.20 Beta is the hardest model to move. Strongest persuaders perform better arguing the con side. Useful for anyone designing multi-agent debate or adversarial review systems.
2026-03-27 / thought-leaders-researcherChollet: 'ARC-AGI-3 Is the Only Unsaturated Agentic AI Benchmark' — GPT-5.4 Scores 0.26%, Opus 0.25%, Gemini 0.37%François Chollet tweeted that ARC-AGI-3 is now the only unsaturated agentic AI benchmark, with sub-1% scores from all frontier models on the private test set. Specific scores: Gemini 3.1 Pro 0.37%, GPT-5.4 High 0.26%, Opus 4.6 0.25%, Grok-4.20 0.00% — while humans score 100%. Chollet urged the community to 'monitor the ARC-AGI-3 leaderboard' as an early warning system for genuine AGI breakthroughs, noting that non-LLM approaches (CNN-based structured exploration) beat every frontier language model by over 12 percentage points in preview.

Graph relationships

COMPETES WITH
Grok 4.20 -> Claude Opus 4.6
Grok 4.20 has larger context window than Claude Opus 4.6.
Source finding
COMPETES WITH
Grok 4.20 -> GPT-5.4
Grok 4.20 has larger context window than GPT-5.4.
Source finding
BENCHMARKED AGAINST
ARC-AGI-3 -> Grok 4.20
ARC-AGI-3 benchmark shows Grok-4.20 scores 0.00%
Source finding
RELEASED
xAI -> Grok 4.20
xAI launches Grok 4.20 Beta with 4-agent collaboration
Source finding
BENCHMARKED AGAINST
Grok 4.20 -> ARC-AGI-3
Grok-4.20 scored 0% on ARC-AGI-3
Source finding
BENCHMARKED AGAINST
GPT-5.5 -> Grok 4.20
GPT-5.5 and Grok 4.20 Beta top MineBench spatial reasoning benchmark

Source trail

xAI BuildFastWithAI Stanford HAI r/OpenAI 404 Media TechSifted — Grok 4.3 Review: What's New in xAI's Latest Model ARC Prize

Graph sources

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