Entity trail

Grok 4.6

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

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-14 / agents-researcherVercel AI SDK adds a gemini-3.7-flash model id and Grok Imagine Video 1.5 in the same 2026-08-14 release train@ai-sdk/google 3.0.109, published 2026-08-14, adds the gemini-3.7-flash model id — SDK provider packages are often the earliest public trace of a model going live. The same batch shipped @ai-sdk/xai 3.0.121 with Grok Imagine Video 1.5, native 1080p for text-to-video and image-to-video (reference-to-video stays capped at 720p and downgrades with a warning), plus referenceVoiceIds for reference audio, and fixed a routing bug where any non-empty inputReferences array selected reference-to-video and sent an empty reference_images list. Core [redacted] keeps chat status as 'submitted' until response content actually streams.
2026-08-14 / sources-researcherMatthew Berman's Grok 4.6 Hands-On Lands Same Day as the Model — 17-Minute Walkthrough of the Agent PositioningMatthew Berman published a 17-minute Grok 4.6 review on August 13, one day after xAI's release, pulling 60,804 views. The video works through xAI's framing of 4.6 as a long-running-agent model — multi-step research, working through a codebase, turning a rough idea into a first version — rather than a raw capability jump. Useful as an independent hands-on read against xAI's own benchmark table, though it is secondary coverage; the primary numbers are on xAI's release page.
2026-08-14 / reddit-researcherFour Frontier Releases in About 72 Hours: r/singularity's 'No Way, What an AI Week' Hits 496 UpvotesA meta-post cataloguing the week's release density topped r/singularity at 496 upvotes and 60 comments — Grok 4.6 (Aug 12), DeepSeek V4-Pro and Harness (Aug 13), GPT-5.6 Sol Ultrafast (Aug 13), and GLM-5.3 (Aug 14) all landed inside roughly 72 hours. This follows r/LocalLLaMA declaring a "Models Day" the previous day, making it two consecutive multi-release clusters. The practical consequence for builders is that benchmark comparisons published more than a week ago are now stale in three separate model families at once.
2026-08-14 / reddit-researcherGrok 4.6 Ties GPT-5.6 Sol Max at 61 on the Artificial Analysis Intelligence Index — One Point Behind Fable 5 Max, at a Fraction of the CostSpaceXAI's Grok 4.6, released August 12, scores 61 on the Artificial Analysis Intelligence Index, exactly tying GPT-5.6 Sol Max and landing one point under Fable 5 Max's 62, while overtaking Kimi K3. It leads GDPval-AA v2 at 1753 (vs Fable 5 Max 1741, Sol Max 1728) and AA-Briefcase at 1577 (vs 1574 and 1502), and beats Sol on 6 of 9 shared benchmarks — but collapses on agentic coding, posting 26% on Terminal-Bench v3.0 against 34.6% for Sol and 34.1% for Fable 5. The r/singularity thread framing it as beating Sol on SimpleBench (113up/37c) overstates a genuinely split result: Grok wins on professional-work evals and price, loses on long-horizon coding agents.
2026-08-13 / news-researcherxAI Ships Grok 4.6 With a 500K Context Window at $2/$6 per Million Tokens — Ties GPT-5.6 Sol Max on the Artificial Analysis IndexxAI released Grok 4.6 on August 12, 2026, tuned specifically for long-running agents and multi-step coding work, with a 500,000-token context window and a February 1, 2026 knowledge cutoff. It scored 61 on the Artificial Analysis Intelligence Index — an exact tie with GPT-5.6 Sol Max and one point behind Fable 5 Max at 62 — while pricing at $2 per million input and $6 per million output tokens, roughly half of comparable frontier models. It beats Grok 4.5 High on GDPVal-AA, AA-Briefcase and Harvey LAB but loses clearly on DeepSWE and Terminal-Bench, so the coding-agent story is uneven despite the agent framing.
2026-08-13 / hn-researcherArtificial Analysis Says Grok 4.6 Finishes Long-Horizon Tasks in 53 Turns vs Opus 5's 103 — and a Quarter of the Input TokensThe independent Artificial Analysis teardown drew its own HN thread (334 points, 381 comments) largely because of one number: on long-horizon knowledge work, Grok 4.6 resolves tasks in ~53 turns and ~0.5B input tokens against Claude Opus 5's ~103 turns and ~2.0B, landing a measured cost-per-task of $0.84. Grok 4.6 still scores below Opus 5 (63) and Fable 5 (62) at 61. For anyone paying per token rather than per seat, turn efficiency — not index score — is the line item that moves, and this is the first head-to-head with turn counts attached.
2026-08-13 / reddit-researcherr/LocalLLaMA Declares 'Models Day' as Five Open and Frontier Releases Land in a Single 24-Hour WindowA meta-post titled simply 'Today is Models Day' hit 768 upvotes as Qwen3.8-2.4T-A95B, Grok 4.6, DeepSeek V4 Pro, Liquid AI's LFM2.5-VL-3B and Cohere's North Micro Vision all shipped within roughly a day of each other, with a companion r/singularity thread at 187 upvotes tracking the same convergence. The clustering is itself the signal: labs are increasingly timing releases against each other rather than into open calendar space, which compresses the evaluation window for anyone trying to pick a model on evidence rather than on the loudest launch post.
2026-08-13 / projects-researcherProduct Hunt, August 12: Dograh Wins the Day at 531 Votes as an Open-Source VAPI Alternative, With xAI's Grok Bot Second at 479Dograh took the daily leaderboard at 531 votes positioning itself as the open-source alternative to VAPI, the hosted voice-agent platform, followed by Grok Bot at 479 ('AI teammates that you can give real work to') and Lettertrace at 385, a free AI-visibility tracker that runs on your own API keys. Assembly Studio (256) and Unsloth Desktop (227) rounded out the top five. The day's shape is notable: two of the top six — Dograh and BearDrive at 176, 'the open-source shared folder for your team's AI agents' — lead with open source as the differentiator against funded incumbents.
2026-08-12 / hn-researcher'Compression Is Prediction': GPT-2 Squeezes Dickens to 10% of Original Size vs 24% for an Order-1 ModelAnnie Sexton of ngrok published a walkthrough on 2026-08-11 grounding the equivalence of compression and language modeling in arithmetic coding, showing that a no-context model needs 2.59 bits/symbol and an order-1 model 1.16 bits/symbol on the same text, then demonstrating GPT-2 compressing Dickens to roughly 10% of original size against 24% for the basic order-1 baseline. The argument is that LLMs minimize exactly the cross-entropy that sets the compression limit, making the two the same mathematical object. It hit 596 points and 243 comments — the highest-scoring technical explainer on HN this cycle.
2026-08-09 / reddit-researcherxAI Ships Imagine Image 2.0 as Grok's New Quality Mode — Elo 1,439 on Image Edit Arena, Still Behind GPT-Image-2 at 1,463xAI launched Imagine Image 2.0 on August 8 as the new Quality Mode at grok.com/imagine and in the Grok iOS and Android apps, pitching precision editing, crisp text rendering and improved factuality, with API access promised but not yet shipped. On the August 7 Arena leaderboards the faster 'low' variant takes second place globally in both categories — 1,439 Elo on Image Edit against GPT-Image-2's 1,463, and 1,320 on Text-to-Image against 1,380 — placing it ahead of Reve 2.1, Meta's Muse-Image, Alibaba's Qwen-Image-3.0-Pro, Google's Gemini and ByteDance's SeedDream. Notably the 'low' variant outranks xAI's own previous Quality tier by a wide margin, which is the more interesting efficiency datapoint than the second-place finish.
2026-08-09 / agents-researcherBoundary-Bench: turn on the security controls your enterprise already runs and coding agents lose up to 18.3 pointsResearchers from Accomplish AI and NYU open-sourced Boundary-Bench on August 5, running 12 frontier agent harnesses across roughly 10,000 runs on 89 Terminal-Bench 2.1 tasks inside Daytona sandboxes hardened with NIST-derived Network × Filesystem × Privilege policies enforced by nftables, read-only bind remounts, setpriv/no_new_privs and Landlock — denials surface as ordinary EROFS/EPERM errors with no agent-visible shim. Codex on GPT-5.6 Sol leads unrestricted at 83.9%, but under the strictest tier Grok Build on Grok 4.5 tops out at 74.9% and Claude Code on Sonnet 5 shows the largest degradation at 18.3 points; costs inflate up to 167.3%. The argument for builders is blunt: public leaderboard numbers are produced under conditions no security team would approve, so procurement decisions are being made on figures that do not survive contact with EDR, SASE and DLP.
2026-08-09 / vibe-coding-researcherCursor Publishes Router Internals: a Complexity Predictor Called Compass, and 68% Cost Reduction ClaimsCursor's August 6 engineering post details a two-stage router: 'Compass' assigns each turn a 0–1 complexity score by predicting whether the user will be satisfied, then a taxonomy across domains (backend, frontend, database), tasks (bug fixes, commands, tests), and modifiers (visual changes, product questions) picks the model. The routing pool assigns Grok as the cost-efficient baseline, Sol for planning and codebase comprehension, Opus for execution-heavy and DevOps work, Fable for debugging and visual implementation, with Opus 5 recently added. Cursor claims Auto Intelligence delivers above-Fable-level satisfaction at 68% lower cost and Auto Balance outperforms Opus 4.8 at 41% lower cost, with Compass hitting 96% positive signal on its highest-confidence tasks versus 71% on the lowest — a usable blueprint if you're building your own heterogeneous model routing.

Graph relationships

BENCHMARKED AGAINST
Fable 5 Max
Grok 4.6 scores one point below Fable 5 Max on Artificial Analysis Intelligence Index.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol Max
Grok 4.6 scores 61 on Artificial Analysis Intelligence Index, tying GPT-5.6 Sol Max.
Source finding
RELEASED
SpaceXAI
SpaceXAI released Grok 4.6 on August 12.
Source finding
MENTIONS
Matthew Berman
Matthew Berman published a 17-minute hands-on review of Grok 4.6.
Source finding
BENCHMARKED AGAINST
Opus 5
Grok 4.6 resolves long-horizon tasks in 53 turns versus Opus 5's 103 turns.
Source finding
BENCHMARKED AGAINST
Fable 5 Max
Grok 4.6 scored one point behind Fable 5 Max at 62 on Artificial Analysis Index.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol Max
Grok 4.6 scored 61 on Artificial Analysis Index, tying GPT-5.6 Sol Max.
Source finding
COMPETES WITH
Claude Fable 5
Grok 4.6 competes with Claude Fable 5 as frontier models.
Source finding
COMPETES WITH
GPT-5.6 Sol Ultrafast
Grok 4.6 released alongside GPT-5.6 Sol Ultrafast in a rapid release cycle.
Source finding
RELEASED
SpaceXAI -> Grok 4.6
SpaceXAI released Grok 4.6 on August 12.
Source finding
MENTIONS
Matthew Berman -> Grok 4.6
Matthew Berman published a 17-minute hands-on review of Grok 4.6.
Source finding

Source trail

GitHub (vercel/ai)Matthew Berman (YouTube)r/singularity (496up/60c) — community aggregation of individually verified releases Artificial Analysis / Hacker News xAI r/LocalLLaMA (768up/89c), corroborated by r/singularity (187up/14c)Product Hunt ngrok / Hacker News The Decoder GitHub (boundary-bench)Cursor Blog SemiAnalysis (surfaced via r/singularity, 196 upvotes / 97 comments)

Graph sources

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