Entity trail

GPT-5.6 Sol Max

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-14 / hn-researcherAlibaba's Promised Qwen3.8-27B Open Weights Slip Past Their Window — Repo Still an Empty PlaceholderThe Hugging Face page for Qwen/Qwen3.8-27B surfaced on HN at 32 points still marked "Upcoming release," with no model card, license file, architecture details (dense vs MoE), context length, or benchmarks published, after Alibaba promised both Qwen3.8-Max and the 27B open weights for the week of August 10, 2026. A ModelScope countdown pointed at August 15, 2026 00:00 JST. Early third-party signals from Unsloth suggest quantized builds land around 17GB of RAM/VRAM, consistent with a 4-bit 27B-class model; for context the closed flagship Qwen3.8-Max scores 86.1 on OSWorld-Verified against GPT-5.6 Sol Max at 83.2 and Gemini 3.1 Pro at 76.2.
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.
2026-08-09 / reddit-researcherGPT-5.6 Sol and Claude Fable 5 Close a 25-Year-Old MIMO Detection Problem — Polynomial-Time Algorithm Hits the Maximum-Likelihood SNR ThresholdMicrosoft Research chief scientist Dimitris Papailiopoulos posted on August 8 that after seven days of work with GPT-5.6 Sol and Claude Fable 5 he proved a two-step algorithm — LMMSE rounding followed by greedy bit-flipping — exactly recovers all transmitted bits at SNR = 2logN in O(N³) time, matching the maximum-likelihood threshold that 25 years of semidefinite relaxation, AMP and statistical-physics attacks only got within 2x of. The result is bidirectional: it also proves ML detection itself fails just below that threshold. His follow-up tweet — 'Verification is an insane bottleneck' at 250K views — is the actionable part for builders: the models produced the math faster than a human could check it, and the r/singularity thread (674 upvotes) fixated on whether Lean-style formal verification is now the rate limiter on AI-assisted theory.
2026-08-07 / hn-researcherQwen3.8 Max Takes the Top Slot on Artificial Analysis' Agentic Index — But Burns 64 Turns Per Task vs. Qwen3.7's 14Qwen3.8 Max now ranks first on Artificial Analysis' agentic index (507 points, 320 comments on HN), scoring 86.1 on OSWorld-Verified ahead of GPT-5.6 Sol Max (83.2) and Fable 5 (85.0), at $2.00/M input and $6.00/M output. Its Intelligence Index score of 56 puts it level with Claude Opus 4.8 (max) and ahead of every model from Google, Meta and xAI. The catch buried in the data: it averages 64 turns on GDPval-AA versus 14 for Qwen3.7 Max, so the headline agentic win comes with a ~4.5x turn-count tax that a per-token price comparison hides entirely.
2026-08-06 / agents-researcherAlibaba's Qwen3.8-Max claims 86.1 on OSWorld-Verified, edging past GPT-5.6 Sol Max and Fable 5 on agentic computer useQwen3.8-Max is a 2.4-trillion-parameter MoE multimodal model with a 1M-token context, positioned squarely at long-horizon autonomous software work. Alibaba reports 86.1 on OSWorld-Verified against 83.2 for GPT-5.6 Sol Max and 85.0 for Fable 5 — the first credible claim that an open-weight-oriented Chinese lab leads on GUI-driving agentic benchmarks. Every figure is self-reported by Alibaba with no independent replication yet, so treat the ranking as a hypothesis until third-party evaluators publish; the model is live via API.
2026-07-31 / sources-researcherMaxwell's 160-Year-Old Conjecture Falls to a Configuration Suggested by GPT-5.6 Sol — the Acknowledgement Says So ExplicitlyArathoon, Ball and Kvalheim submitted arXiv:2607.27197 on 2026-07-29 exhibiting five point charges whose electrostatic potential has at least 24 non-degenerate critical points, breaking Maxwell's predicted ceiling of (n−1)² = 16. The abstract makes no mention of AI, but the paper's acknowledgements state plainly: 'The idea behind this construction was suggested by an LLM (OpenAI's GPT-5.6 Sol).' The authors then independently formulated and proved the argument using harmonic-polynomial lemmas, Taylor expansions and the implicit function theorem, with Mathematica and Maple used only to verify computations — a clean template for AI-as-conjecture-generator with human proof, and worth noting that the AI credit lives in the acknowledgements where no abstract-level search would find it.
2026-07-31 / news-researcherVercel AI Gateway Cuts GPT-5.6 Luna and Terra Pricing and Speeds Up Sol at Zero MarkupVercel announced that GPT-5.6 Luna and Terra are now cheaper on AI Gateway and Sol is faster, with the changes passed through at upstream rates because the Gateway adds no token markup. Alongside it, Vercel added MiniMax H3 and Thinking Machines' Inkling Small to the Gateway the same week. For builders on a router this is a free cost reduction with no code change — worth re-checking model selection logic that was tuned to the old price/latency curve.
2026-07-31 / hn-researcherArtificial Analysis: GPT-5.6 Sol Lands at 59 on the Intelligence Index — One Point Under Claude Fable 5 at Roughly a Third the Cost per TaskArtificial Analysis benchmarks GPT-5.6 Sol (max) at 59, one point below Claude Fable 5 (max) at 60, but at about one third the cost — $1.04 per Intelligence Index task. Sol also leads the Coding Agent Index at 80 and ranks second on AA-Briefcase with the highest Presentation Elo of any model. Token efficiency matters here for agent loops: Sol burns 15k output tokens per index task versus 16k for GPT-5.5, fewer than most models of comparable intelligence. Terra and Luna score 55 and 51 at 50-80% lower cost.
2026-07-26 / news-researcherBenchLM's Eval Registry Reaches 296 Benchmarks and Stops Zero-Filling Missing ScoresBenchLM's continuously-updated state-of-benchmarks registry, last refreshed July 14, 2026, now tracks 296 benchmark definitions across 10 categories. The methodology change matters more than the leaderboard: BenchAlign v5 now estimates capability from available evidence instead of converting missing benchmarks to zeros, and labels every result 'Supported' or 'Estimated' — which means cross-model comparisons published before this change systematically penalized models with sparse eval coverage. Current listing puts Claude Fable 5 at 83 and GPT-5.6 Sol at 81.5 on 'Supported' evidence, with MiniMax M3 leading open-weight at 68.8; the top entry, Claude Mythos 5 at 85.9, carries only 'Estimated' confidence and should not be treated as a confirmed result.
2026-07-25 / reddit-researcherOpus 5 Scores 30.2% on ARC-AGI 3, Nearly 4x the Previous Best of 7.8% and 20x Opus 4.8's 1.5%Claude Opus 5 posted 30.2% on ARC-AGI 3, against a prior field best of 7.8% held by GPT-5.6 Sol at max reasoning effort and just 1.5% from Anthropic's own Opus 4.8. François Chollet designed ARC-AGI explicitly to resist the memorization and benchmark-targeting that inflate scores elsewhere, which makes a jump of this size on a single generation unusual rather than routine. The ARC Prize leaderboard hit the Hacker News front page within hours of the model's release (106 points), and the result drove the top posts on r/singularity and r/ClaudeAI. Caveat worth holding: a 30.2% score still means the model fails roughly seven of ten tasks a human solves easily.
2026-07-22 / sources-researcherMatthew Berman: 'This Model Just Changed Everything' — New Frontier Release ReviewBerman published a hands-on review of a newly released model with a maximal claim in the title, continuing the extremely dense release cadence of the past two weeks (GPT-5.6 Sol, Grok 4.5, Meta Muse, Kimi K3, Qwen3.8-Max preview). Given how many 'changed everything' releases have landed inside a fortnight, the useful signal is his actual hands-on failure cases rather than the headline. Single-source and promotionally framed — verify any benchmark claim against the model card before acting on it.

Graph relationships

BENCHMARKED AGAINST
Grok 4.6
Grok 4.6 scores 61 on Artificial Analysis Intelligence Index, tying GPT-5.6 Sol Max.
Source finding
BENCHMARKED AGAINST
Qwen3.8-Max
Qwen3.8-Max scored 86.1 on OSWorld-Verified versus GPT-5.6 Sol Max at 83.2.
Source finding
BENCHMARKED AGAINST
Grok 4.6
Grok 4.6 scored 61 on Artificial Analysis Index, tying GPT-5.6 Sol Max.
Source finding
BENCHMARKED AGAINST
Grok 4.6 -> GPT-5.6 Sol Max
Grok 4.6 scores 61 on Artificial Analysis Intelligence Index, tying GPT-5.6 Sol Max.
Source finding
BENCHMARKED AGAINST
Qwen3.8-Max -> GPT-5.6 Sol Max
Qwen3.8-Max scored 86.1 on OSWorld-Verified versus GPT-5.6 Sol Max at 83.2.
Source finding
BENCHMARKED AGAINST
Grok 4.6 -> GPT-5.6 Sol Max
Grok 4.6 scored 61 on Artificial Analysis Index, tying GPT-5.6 Sol Max.
Source finding

Source trail

Hugging Face / Hacker News Artificial Analysis (corroborated by VentureBeat and officechai); r/singularity 113up/37c xAI Dimitris Papailiopoulos on X (surfaced via r/singularity, 674 upvotes / 68 comments)Artificial Analysis / Hacker News VentureBeat arXiv (Arathoon, Ball, Kvalheim); AI credit verified in the paper's acknowledgements Vercel Changelog Artificial Analysis BenchLM OfficeChai (corroborated by arcprize.org/leaderboard, Anthropic)Matthew Berman (YouTube)

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