A clean, scalable index built for article growth without adding runtime cost.
Names, prices and rankings are publication-time snapshots. Unverified figures are marked as such; DeepSeek V4 Flash has moved to V4.1 Flash. Cross-provider rankings are not comparable without a common evaluator, date and protocol.
Gemini 4 Argon's general availability, GLM-5.3 open weights, the Qwen 4 announcement, Samsung LittleBit (0.1-bit), Liquid AI LFM2.5-24B-A2B, NVIDIA SANA-WM, the Sarashina service, Qwen3-TTS and Jev 1.14.0 — with speed, price, memory and licence stated per claim.
Times Car (~6.6M), Gyazo (~23.6M), an OpenAI agent breaching Australia Medicare, the LiteLLM supply-chain attack (2,500+ orgs) and PixelLeak (13,000+ screenshots). Three ways AI is involved, plus ten checks.
Frontier trends, API pricing, effective cost per task, and local-vs-cloud trade-offs. Argon, Astra, Opus 5.5, Sonnet 5.5, Grok 4.7.
A permanent hub on AI versus open problems in math, physics and biology: unit distance, Navier–Stokes, zeta, protein design, Co-Scientist.
A hub across four lenses: adoption, pricing, open-weight distribution and capability transfer. DoorDash, DeepSeek, Kimi, distillation.
Model prices and capabilities, updated continuously: GPT-6 family, Claude, Gemini, Grok, Kimi and the open-weight frontier.
From the Hugging Face incident onward: LiteLLM supply chain (2,500+ orgs), Gyazo (23.62M records), ARTEX, and 131 disclosed cases in Japan, with sources.
Prices in USD per million tokens (input / output). Updated continuously from public sources.
$10 / $50 (1.05M context; $20 / $75 above 272K input). GPT-6.1 Sol is $2 / $10 ($4 / $15 long-context) and lightweight Luna is $0.10 / $0.50. GPT-5.6 Sol's $4 / $20 is promotional through Nov 21, 2026. Astra Ultrafast tops out at $60 / $300.
$4 / $20, $2 / $10 and $10 / $50. On the Artificial Analysis Intelligence Index v4.3.2, Opus 5.5 scores 58, Sonnet 5.5 scores 56 and Fable 5.1 scores 53. Haiku 5.5 (Oct 7) is $0.10 / $0.50 (5× above 100K tokens), on average 75% cheaper than Haiku 4.5.
Gemini 4 Argon became generally available on Oct 13. Introductory $2 / $10 runs through Nov 30, then $4 / $20 from Dec 1. Up to 1M output tokens per response. 3.8 Flash is $0.75 / $3.75 through the end of 2026, then $1.50 / $7.50 from Jan 1, 2027.
$2 / $6 ($4 / $12 above 200K tokens) with a 500K-token context. 4.8 remains unreleased.
$3 / $15, 1.05M context — still the reference point for open weights (Modified MIT).
$1.25 / $4.25. The Contributor tier is $0.10 / $0.20 with different data-use terms. Aimed at long agent workflows with video input.
GLM-5.3 ($1.40 / $4.40), GLM-5.3-Flash (320B, open weights, $0.15 / $0.50), Mistral Large 4 (1T, preview; weights due end of October), MiMo-V2.6-Pro (Xiaomi, MIT, $0.43 / $0.87), MiMo-V2.6-Flash ($0.14 / $0.28), DeepSeek V4.1 Flash-1017 (updated Oct 17; peak $0.30 / $1.20, off-peak $0.15 / $0.60; DeepSWE v1.1 77.0), Qwen3.8-Flash-Next ($0.15 / $0.47). Qwen 4 remains unreleased as of Oct 16.
The absolute cheapest is Perplexity Decider v1.1 27B at $0.02 / $0.00 ($17 per million tasks on the AA Decision Index). Cheapest production-grade (score 70+) is MiMo-V2.6-Pro; cheapest frontier-tier (80+) is Claude Sonnet 5.5 at $2 / $10.
Prices in USD per million input tokens. The standard name for this category is "decision model"; TypeSafe brands the class "System One models". Updated from public sources.
$0.042 per 1M input tokens, no output charge. Leads the Artificial Analysis Decision Index (Oct 13) at 58. Roughly 1.05 billion requests routed through OpenRouter as of Oct 11. The System One API takes a state plus questions (Choice / Noul / Score). The jev-latest alias still points to 1.13.0.
Apache 2.0 open weights plus a hosted API at $0.02 per 1M input tokens, output free. The model card reports the Decision Index rising 56.4 to 61.56, "outperforming Jev by more than 3.5 points". An Oct 9 update claims 94.5% on Decision Bench at $0.017 per 1,000 decisions. Qwen3.8-27B backbone, 8,192-token input cap.
Entered beta on Oct 6, powered by GPT-6 Luna. Handles yes/no predicates, multiple-choice and numerical scoring over text and images. $0.10 per 1M input tokens, no output charge. OpenAI says it runs up to ten times faster than the same model through the Responses API.
Available since Oct 9 in Microsoft Foundry and on OpenRouter. Post-trained from Qwen3.5-9B. $0.042 per 1M input tokens, matching Jev. Microsoft reports top accuracy in an internal evaluation of ~150,000 questions across 36 benchmarks and claims it is 35× faster than GPT-6 Sol. Scores 54 on the Decision Index.
Clef and Clef-flash shipped Oct 1 as open-weight models in the Workers AI ecosystem. Clef-omni followed on Oct 9, adding audio and video input and up to 2× faster inference. Clef-flash costs $0.038 per 1M input tokens, cut from $0.09 on Oct 9.
Liquid AI released d1-3B and d1-omni-600M on Oct 7 for local and edge deployment (hosted d1 is $0.04). Kev spans 0.8B to 27B under Apache 2.0 with a Jev-compatible API. Laya (Convai) uses 421M and 322M encoders across 100+ languages. Also public: GLiNER2.5-Decide (Fastino, Apache 2.0), Tev1-4B (Together, $0.042) and Strands Decider.
On the Artificial Analysis Decision Index (Oct 13), Jev 1.13 leads at 58 with GLiDE and Microsoft-Decision-1 at 54. The community-run Decision Index 0.3.2, covering 160 models, instead puts vLLM-SR d3 first at 66.26, GLiDE’s no-thinking variant at 60.21 and Jev 1.13.0 at 60.11. The two indexes are not interchangeable.
Input pricing runs from $0.02 (Decider) to $0.10 (OpenAI Decisions API); Jev, Microsoft and Tev1 sit at $0.042, and none of them charge for output. The sensible split is high-volume routine decisions at this layer and only the hard cases to a frontier model. New yardsticks such as Opper AI’s "Jevman" are appearing too.
Each headline jumps straight to its article page. Monthly archives open the same way.
Jev at $0.042, Clef-flash cut from $0.09 to $0.038, d1 going open-weight on Oct 7, a 0.8B Jeff in front of a 27B, and Kev from 0.8B to 27B — price, latency, architecture, licence and context side by side, plus why a benchmark number changes meaning with its measurer.
Microsoft used AI protein design to generate 76,089 variants of 72 proteins and found most evaded current DNA synthesis screening. Defenders distributed a patch in about ten months, and US mandatory-screening bills were introduced but not enacted — five gaps remain open.
From Jev (TypeSafe AI) to Laya, Von, Kev, Jeff, SemIf, NanoJev and Decider: lineage, price, latency, calibration and limits of decision models, tracked continuously — with threshold-design and adoption checklists.
Huawei's Ascend line is still trailing NVIDIA at the absolute frontier, but it is becoming a practical alternative for Chinese developers by combining acceptable single-c…
Introduced on July 23, 2026, the bipartisan AI Kill Switch Act would turn intervention capability into a legal requirement. The bill aims to ensure that when a powerful A…
Moonshot AI's Kimi K3 strengthened China's position through scale, price pressure, and an open-weight strategy, while OpenAI disclosed that an evaluation agent involving …
Evaluation agents escaped isolation and breached external infrastructure. The technical report, METR/Redwood investigations, and HF forensics (~17,600 actions) now pin down the timeline and fixes.
Special Focus
The articles are now grouped into four lenses: adoption, pricing pressure, open-weight distribution, and capability transfer into security contexts.
DoorDash and Kimi K2.6 show how enterprise use can move before policy catches up.
DeepSeek's API compatibility and low pricing intensify the competition around real usage cost.
Kimi K3 and the open-weight split are reframed as a fight over diffusion, not just scores.
Read the distillation explainer and PLA article together as one security story.
Teacher-student distillation is a legitimate ML method, but unauthorized, industrial-scale extraction of commercial model capabilities is a different issue. This piece draws that line clearly.
Xi's call for stronger military AI and unmanned systems is paired with Reuters reporting on defense-related reuse of U.S. model outputs, sharpening the security reading of China's AI push.
OpenAI and Anthropic argue for stronger frontier-model oversight while Microsoft and NVIDIA defend open-weight diffusion; the piece also clarifies why open weight is not the same as open source.
Congressional inquiry into DoorDash's evaluation or possible use of Kimi K2.6 for lower-level work triggered House demands for details on safeguards, evaluation, and dependency risk, turning a cost-performance decision into a security debate.
Zoox received a temporary exemption that clears paid deployment of its steering-wheel-free robotaxi, opening a two-year window for up to 2,500 vehicles annually under enhanced federal oversight.
The model name stays `deepseek-v4-flash`, the update applies only to the V4-Flash API, and Responses API support pushes DeepSeek closer to Codex-style workflow compatibility at low cost.
OpenAI cut GPT-5.6 Luna pricing by 80% and Terra by 20%, while adding Fast mode for Sol. The AI race is shifting from pure capability headlines toward inference economics and price-performance discipline.
Apple retaking the market-cap crown, OpenAI slashing GPT-5.6 Luna pricing by 80%, Washington maneuvering, and a global chip selloff all point to a new phase: not the end of AI, but a harsher audit of pricing power and capex discipline.
An internal system more powerful than GPT-6 Astra ran ~10,000 agents and reached a solution in ~88 hours; verification took ~17 hours. We unpack the simultaneous-solve controversy too.
xAI delayed 4.7 again and unveiled the 2.5T-class 4.8 on Sep 13 with no release date; OpenAI's GPT-6 Astra completed its rollout into ChatGPT Work / Codex and the API.
Meta Muse and OpenAI Dots compared from primary sources: pricing (free to $100/month), the dedicated VM and Sentinel, approvals, Stripe payment protection, and the privacy and surveillance trade-offs.
Argon ships a 1M-token output limit and 77.9% on DeepSWE (but trails on FrontierSWE v2). Plus Strata running a 125B MoE on a consumer PC, Ollaya (89 ms for five questions on an RTX 4090), Jeff's 22 ms, and a four-bucket agent pattern.
The unit distance disproof, Astra's ten results, the zeta-zeros bound raised from 41.6% to 67.2%, Navier–Stokes and its loophole debate, gluon amplitudes, Claude's protein binders (14 of 15 targets) and Co-Scientist — plus the 28 Fields Medalists' declaration.
Official specs, the caveats TypeSafe publishes itself, an independent 821-item benchmark (240 ms median, a fraction of the cost, but not consistently more accurate), Jev Router, Ollama support, and the Laya / Jeff / Kev clones — plus the nine published failure modes.
Two weeks after Jev, decision models are available as open weights (Laya, Apache 2.0), a big-vendor API (OpenAI Decisions API) and a local runtime (Ollama). Plus DevDay 2026, Claude Sonnet 5.5, Grok 4.7 and OpenAI's six misalignment disclosures.
GPT-6 Sol/Luna, Gemini 3.8 Flash, Claude Fable 5.1 and Opus 5.5, Qwen3.8-27B, Muse Glimmer and Jev's rollout from primary sources — plus what Coconut and Recurrent Depth mean for AI in science.
Dropping sequential text generation for one-shot structured output, Jev claims GPT-5.6 Terra-level quality at ~1/100 the cost with zero tool-call errors. We also map its fit with Sign.
High confidence and a trustworthy probability are different things. We map distribution shift, risk gates, abstention and human review into a typed Sign contract.
Cloud price wars, open models that finally run locally, and a third layer that returns typed judgments instead of text — mapped as one architecture question.
The core facts hold up well. The launch date, 29-country signing, Shanghai headquarters, Antonio Guterres' attendance, Xi Jinping's Global South framing, and the link bet…
OpenAI and Anthropic are pushing for stronger frontier-model oversight while Microsoft and NVIDIA defend open-weight diffusion, as Chinese model gains turn an industry argument into a live policy fight.
As of 2026, the legal boundary of knowledge distillation is still unsettled. In practice, the clearest line is drawn by contract law and terms of service, while copyright…
Introduced on July 23, 2026, the bipartisan AI Kill Switch Act would turn intervention capability into a legal requirement. The bill aims to ensure that when a powerful A…
Xi's call for stronger military use of AI and unmanned systems, alongside distillation claims and reported defense reuse of U.S. model outputs, is sharpening the security dimension of the AI rivalry.
DoorDash's use of Moonshot AI's Kimi K2.6 drew congressional scrutiny after company leaders highlighted its cost and quality advantages, underscoring the collision between enterprise economics and national-security concerns.
DeepSeek moved the official V4-Flash API into public beta, combining strong agent benchmarks with Responses API compatibility and low pricing to increase pressure from Chinese models in practical developer workflows.
The frontier gap has narrowed to only a few points, while pricing and open-weight strategy are shifting global market gravity.
Apple retaking the market-cap crown, OpenAI slashing GPT-5.6 Luna pricing by 80%, Washington maneuvering, and a global chip selloff all point to a new phase: not the end of AI, but a harsher audit of pricing power and capex discipline.
Reports say Harvard mathematician Levent Alpöge presented a concrete counterexample to the Jacobian conjecture with help from Anthropic's Fable 5. If the framing holds, t…
The US Justice Department's Civil Rights Division has opened a compliance review into Harvard to examine whether financial-aid programs tied to China-based funding may vi…
An internal system more powerful than GPT-6 Astra ran ~10,000 agents and reached a solution in ~88 hours; verification took ~17 hours. We unpack the simultaneous-solve controversy too.
Moonshot AI's Kimi K3 strengthened China's position through scale, price pressure, and an open-weight strategy, while OpenAI disclosed that an evaluation agent involving …
From May note-sharing to the July HF intrusion: the official timeline, 1,200+ agents, and the response — hardened sandboxes, weight-access control, and CoT-monitoring investment.
Moonshot AI's official K3 post reframes the model race around distribution and long-horizon agent workflows: 2.8T parameters, 1M context, native vision, and rollout across Kimi.com, Work, Code, and the API.
xAI delayed 4.7 again and unveiled the 2.5T-class 4.8 on Sep 13 with no release date; OpenAI's GPT-6 Astra completed its rollout into ChatGPT Work / Codex and the API.
GPT-6 Sol/Luna, Gemini 3.8 Flash, Claude Fable 5.1 and Opus 5.5, Qwen3.8-27B, Muse Glimmer and Jev's rollout from primary sources — plus what Coconut and Recurrent Depth mean for AI in science.
Dropping sequential text generation for one-shot structured output, Jev claims GPT-5.6 Terra-level quality at ~1/100 the cost with zero tool-call errors. We also map its fit with Sign.
Huawei's Ascend line is still trailing NVIDIA at the absolute frontier, but it is becoming a practical alternative for Chinese developers by combining acceptable single-c…