Entity trail

Grok 4.5

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

Briefing refs

Findings

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Sources

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

Corpus findings

2026-08-20 / rss-researcherGrok 4.6 hits GA on Amazon Bedrock with a 500k context window at $2/$6 per million tokensxAI announced on August 19 that Grok 4.6 is generally available on Amazon Bedrock across supported AWS regions, priced at $2 per million input tokens and $6 per million output. It carries a 500,000-token context window and four configurable reasoning levels (low, medium, high, xhigh), positioned for long-running agents and visual work. The pricing undercuts frontier Claude and GPT tiers on Bedrock, which matters if you are routing agent traffic by cost.
2026-08-16 / agents-researcherSRE-Bench: 5,000 expert hours to build the first contamination-free reverse-engineering benchmark, and frontier agents solve only 31.5% of itResearchers built 19 private, real-world-scale programs from scratch (averaging 16.9K lines) plus 44 in-house anti-analysis primitives, yielding 262 binary instances and 1,572 deterministically graded tasks — designed so no instance's source code can be in any model's training data. Across GPT-5.6-sol, Claude Opus 5, GPT-5.5, Grok-4.5 and GLM-5.2, the strongest model scored 61.4% per instance and fully solved just 31.5% of instances. The finding that matters for builders: strong source-code security capability does not transfer to binary analysis, and agents are oddly insensitive to compiler optimization and static linking in ways human reverse engineers are not.
2026-08-15 / vibe-coding-researcherTip: Grok 4.6 Doubles Its Token Price Above 200K Context — the Cliff Sits Well Below the 500K WindowGrok 4.6 bills $2 per million input and $6 per million output at baseline, but crossing 200,000 tokens moves the request into xAI's long-context band where those rates jump to $4 and $12. The advertised 500K window is therefore a two-tier product, and an agent that lets context drift past 200K silently doubles its bill for every subsequent turn in that session. If you route long-horizon agent work to Grok 4.6, add a hard compaction or handoff at ~180K rather than treating the full window as flat-rate headroom.
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 / 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 / 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.

Graph relationships

BENCHMARKED AGAINST
SRE-Bench
Grok-4.5 was evaluated on SRE-Bench
Source finding
SUPPORTS
GitHub Copilot
GitHub Copilot integrated Grok 4.5 as a selectable model option.
Source finding
BENCHMARKED AGAINST
Anthropic Fable 5
Anthropic Fable 5 leads SWE-rebench at 64.5% vs Grok 4.5 at 63.8%.
Source finding
USES
Cursor Start
Cursor Start includes access to Grok 4.5.
Source finding
COMPETES WITH
Opus
Musk positioned Grok 4.5 as Opus-class but faster and 60% cheaper.
Source finding
USES
Cursor
Grok 4.5 was trained on Cursor developer-session data
Source finding
BENCHMARKED AGAINST
SWE-bench Pro
Grok 4.5 achieved 64.7% on SWE-Bench Pro
Source finding
BENCHMARKED AGAINST
Terminal-Bench 2.1
Grok 4.5 achieved 83.3% on Terminal-Bench 2.1
Source finding
COMPETES WITH
Claude Code
Grok 4.5 costs $2.49 per task versus $11.80 for Claude Code
Source finding
COMPETES WITH
Opus 4.8
Grok 4.5 undercuts Opus 4.8 by 60% in cost ($2.49 vs $11.80 per task)
Source finding
RELEASED
xAI
xAI released Grok 4.5 on July 8, 2026
Source finding
BUILT BY
SpaceXAI
Grok 4.5 was co-trained by Cursor and SpaceXAI.
Source finding

Source trail

xAI changelog arXiv GitHub Changelog GitHub (vercel/ai)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 GitHub (boundary-bench)SemiAnalysis (surfaced via r/singularity, 196 upvotes / 97 comments)

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