This index exposes the material behind every decision guide: what we reviewed, when we retrieved it, the claim it supports and where the evidence stops.
158decision guides
707source records
699scoped claim notes
How to read this index
A citation is not a transferable result.
Reviewed identifies the part of the source used. Supports states the bounded proposition we draw from it. Retrieved records when time-sensitive material was checked.
Vendor documentation establishes vendor claims and product behavior as documented, not independent performance. Papers establish results only for their stated methods and tested scope. AccessAllGPT recommendations remain labeled analysis.
AccessAllGPT reviewed five sources on September 29, 2026: the first-party SpaceXAI launch and model documentation, AWS’s September 28 Bedrock announcement, the live Bedrock model card and the independent Artificial Analysis evaluation linked by AWS. We checked release dates, current model and inference-profile IDs, modalities, context, API surfaces, reasoning controls, Standard prices, service-tier multipliers, routing, integration features, benchmark qualifications and safety language. IDs, documented interfaces and list prices are current service facts; capability, training, benchmark and safeguard statements are vendor claims unless attributed to Artificial Analysis; deployment guidance is AccessAllGPT analysis. We did not obtain credentials, invoke Grok 4.7 through either provider, reproduce evaluations, measure latency or cost, test safeguards, inspect account access or verify data routing in a production account.
Reviewed: September 21, 2026 announcement; model improvements; benchmark chart and footnotes; safety and cybersecurity claims; pricing and availability
Supports: SpaceXAI announced Grok 4.7 on September 21, described its new base model and longer-horizon training, reported benchmark and safeguard results, and made it available through its API and partner platforms from $2 per million input tokens and $6 per million output tokens.
Reviewed: Current model slug; text and image inputs; context window; input, cached-input and output prices; configurable reasoning; API capabilities and regional pricing
Supports: The live first-party documentation lists grok-4.7 with a 500,000-token context, text and image input, text output, configurable reasoning, $2 input and $6 output pricing per million tokens, and a discounted cached-input rate.
Reviewed: September 28, 2026 announcement; capability summary; independent-evaluation summary; Bedrock packaging; APIs and authentication; cross-Region profiles; service tiers; reasoning controls and operational notes
Supports: AWS announced Bedrock availability on September 28 through US and Global cross-Region inference profiles, with Responses, Chat Completions, InvokeModel and Converse support, four reasoning-effort levels and Bedrock-native caching, guardrail, structured-output and logging features.
Reviewed: Model overview; inputs and outputs; context and token limits; Standard tier prices; Priority and Flex multipliers; inference profile IDs; supported APIs; reasoning parameters and feature compatibility
Supports: The current Bedrock model card documents us.xai.grok-4.7 and global.xai.grok-4.7, Standard prices of $2.20/$6.60/$0.55 for US Geo and $2/$6/$0.50 for Global input/output/cache-read tokens per million, plus Priority and Flex tier multipliers.
Reviewed: Independent evaluation summary linked by AWS; Intelligence and Coding Agent indexes; long-horizon knowledge-work results; output-token tradeoff and comparison methodology
Supports: Artificial Analysis independently reports improvement over Grok 4.6 on its evaluation suite while measuring substantially higher output-token use at xhigh effort; AccessAllGPT uses this as secondary evidence, not as proof for a reader’s workload.
AccessAllGPT reviewed four first-party Anthropic and AWS sources on September 29, 2026: Anthropic’s September 28 announcement, the live Sonnet 5.5 model documentation, AWS’s same-day Bedrock announcement and the current Bedrock Anthropic catalog. We checked the announcement date, availability, exact Claude and Bedrock model IDs, context and output limits, direct API prices, access routes, migration changes, benchmark footnotes, safety language and regional caveats. Model IDs, documented limits and list prices are current service facts; speed, quality, benchmark, cost-per-task and safety-performance statements are vendor claims; migration and deployment guidance is AccessAllGPT analysis. We did not receive credentials, call either API, measure latency or token use, reproduce benchmarks, test safeguards or inspect account-specific availability and pricing.
Reviewed: September 28, 2026 announcement; positioning; performance, cost, speed and safety claims; benchmark table and footnotes; availability and getting-started guidance
Supports: Anthropic announced Claude Sonnet 5.5 on September 28, priced it at $2 per million input tokens, $10 per million output tokens and $0.20 per million cache-read tokens, and reported speed, cost-per-task, benchmark and safeguard claims that AccessAllGPT treats as vendor evidence.
Reviewed: Current Claude API model ID; context and output limits; token prices; supported platforms; adaptive thinking; effort control; breaking changes from Sonnet 5; tool and response-shape changes
Supports: Anthropic documents claude-sonnet-5-5 with a 1-million-token context window, 128K maximum output, $2 input and $10 output pricing per million tokens, and migration-sensitive changes to thinking blocks, forced tool use, computer use and advisor compatibility.
Reviewed: September 28, 2026 availability announcement; Bedrock and Claude Platform on AWS access; workload positioning; model invocation example; IAM permissions; Global CRIS profile; regional caveats; monitoring and billing guidance
Supports: AWS says Sonnet 5.5 is available through Amazon Bedrock using global.anthropic.claude-sonnet-5-5 on the Global CRIS inference profile and through Claude Platform on AWS in North America. It documents Invoke, Converse and Anthropic Messages API routes.
Reviewed: Current Anthropic model catalog; Claude Sonnet 5.5 listing; model description; Bedrock-specific refusal billing notes; links to regional and feature support
Supports: The live Bedrock documentation lists Claude Sonnet 5.5 as an available Anthropic model and describes Bedrock-specific billing behavior for requests rejected before or during inference.
AccessAllGPT reviewed four first-party H Company sources on September 28, 2026: the launch post, the live Models API documentation and the two principal Hugging Face model cards. We checked the announcement date, exact hosted and repository model IDs, architectures, context and image limits, current token prices, access tier, weight formats, licenses, interface claims, training description, benchmark values and footnotes, trajectory availability, data-retention language and promised future artifacts. Model files, IDs, prices and published licenses are service or registry facts; performance, training, cost-per-task and data-handling statements are vendor claims; deployment guidance is AccessAllGPT analysis. We did not download weights, obtain an API key, inspect every trajectory, reproduce a benchmark, run either model, measure hardware needs, audit training data or verify retention controls.
Reviewed: September 28, 2026 release; model sizes; interface coverage; training recipe; benchmark table and footnotes; hosted prices; context length; weight formats; license labels; future DSpark checkpoint statement
Supports: H announced Holo4-27B, Holo4-35B-A3B and Holotron4 Nano on September 28, published hosted prices and weights, and reported benchmark results with important run-count, harness and training-overlap qualifications.
Reviewed: Current model IDs; architecture; context and image limits; input, cached-input and output prices; tier access; tool use; API compatibility; deprecation metadata; open-weight formats; retention statement
Supports: The live documentation lists holo4-35b-a3b and holo4-27b on the paid tier, their per-token prices and 262,144-token contexts, and states that prompts and responses are not stored by default.
Supports: The model card identifies a 27B dense Qwen3.8-based vision-language model, a 262,144-token configured context and downloadable BF16, FP8, NVFP4 and Q4 GGUF variants under the non-commercial CC BY-NC 4.0 license.
Supports: The model card identifies a 35B-total, 3B-active Qwen3.5 mixture-of-experts model with a 262,144-token configured context and downloadable variants under Apache License 2.0.
AccessAllGPT reviewed four first-party Google sources on September 28, 2026: the September 23 Google Vids announcement, Google DeepMind’s August 27 developer launch post, the current Gemini Omni API documentation and the live Gemini API pricing page. We checked announcement dates, account eligibility, product and API availability, the exact developer model ID, generation and editing controls, resolution and duration language, API rates, regional and input restrictions, provenance claims and missing quota details. Account availability, model IDs, documented interfaces and listed prices are service facts; quality, consistency and safety-performance statements are Google claims; buyer guidance is AccessAllGPT analysis. We did not sign in to Google Vids, call the API, generate or edit video, test a free allowance, inspect SynthID, benchmark output or receive a bill.
Reviewed: September 23, 2026 announcement; Google-account availability; desktop entry point; generation, extension, duration and HD controls; SynthID statement; coming-soon narration; personal and Workspace capacity language
Supports: Google announced that anyone with a Google or Google Workspace account can use Gemini Omni 1.1 Flash in Google Vids at no cost. It describes 1080p generation and upscaling, exact-duration controls, scene extension and SynthID, but does not publish a numeric free-generation allowance.
Reviewed: August 27, 2026 developer announcement; Gemini API and AI Studio availability; scene extension; interpolation; resolution and prototyping controls; model positioning; safety and provenance statements
Supports: Google DeepMind introduced Gemini Omni 1.1 Flash for developers on August 27, 2026 and described production-oriented controls including scene extension, first-and-last-frame interpolation and higher-resolution output. Capability statements remain vendor claims.
Reviewed: Current model ID; text, image, audio and video inputs; Interactions API examples; output resolution; stateful editing; uploaded-video editing; URI delivery; extension behavior; regional, duration and media limitations; SynthID
Supports: The live documentation identifies gemini-omni-1.1-flash and documents text-to-video, image-to-video, interpolation, reference media, stateful edits and 3–10 second extensions. It also lists material restrictions, including uploaded-video limits and regional exclusions for editing or extending uploads.
Reviewed: Gemini Omni Flash paid-tier availability; gemini-omni-1.1-flash model ID; multimodal input price; text and video output prices; 720p video token rate; free-tier availability
Supports: Google lists gemini-omni-1.1-flash as generally available on the paid Gemini API tier, with no API free tier, $1.50 per million input tokens, $9 per million text-output tokens and $17.50 per million video-output tokens, approximately $0.10 per second of 720p video.
AccessAllGPT reviewed three first-party Anthropic sources on September 28, 2026: the September 23 announcement, the linked 40-page preprint and the current Claude Science beta product page. We checked the announcement date, model and harness identity, search scale, candidate funnel, human involvement, campaign resource counts, sequence and expression evidence, reproducibility reruns, fixed-input benchmarks, availability language, pricing omissions and biological limitations. Counts and scientific findings are author-reported preprint results; product descriptions are vendor claims; the preprint file and its disclosed methods are artifact facts; interpretation and next-step guidance are AccessAllGPT analysis. We did not run Claude, inspect private infrastructure, reproduce the search, validate DNA or RNA analyses, culture phages, assay enzyme activity, peer-review the biology or obtain an independent expert assessment.
Reviewed: September 23, 2026 announcement; life-sciences lab launch; autonomous search description; array-associated reverse transcriptase finding; stated human involvement; early experimental evidence; open questions; linked preprint
Supports: Anthropic announced its new life-sciences research group and laboratory on September 23, 2026 and reported that Claude agents identified array-associated reverse transcriptases. The post gives the approximate search scale and says Anthropic still does not know the system’s primary function.
Anthropic preprint (Peter H. Yoon et al.) · Retrieved
Reviewed: Abstract; introduction; agentic genome-mining methods; candidate funnel; ART discovery trace; family characterization; phage-infection RNA evidence; reproducibility reruns; fixed-input model benchmarks; internal-signal analysis; discussion; methods and supplementary figures
Supports: The 40-page preprint reports the harness, model, dataset, task and token counts, candidate funnel, sequence and expression analyses, ten campaign reruns, benchmark results and unresolved biological questions. All listed authors are affiliated with Anthropic; the document is a preprint rather than peer-reviewed independent replication.
Reviewed: Beta status; product positioning; analysis and database-search claims; artifact provenance; managed compute; download and contact-sales access paths
Supports: Anthropic currently labels Claude Science as beta and describes an application that runs analyses, searches databases and retains code and artifact history. The reviewed page offers download and contact-sales paths but does not publish a model-token price for reproducing the reported campaign.
AccessAllGPT reviewed four first-party Google sources on September 28, 2026: Google’s September 23 launch announcement, current Gemini API speech-generation documentation, the live Gemini API pricing page and the September 15 Gemini 3.8 Audio model card. We checked announcement date, current availability, exact model IDs, input and output contracts, voice options, streaming formats, language coverage, context limits, launch and future prices, safeguards and rollout caveats. Prices and API fields are documented service facts; capability, quality, benchmark and safety-performance statements are labeled as Google claims; deployment guidance is AccessAllGPT analysis. We did not have a Gemini API credential and did not generate, replicate, stream, benchmark or bill any audio.
Reviewed: September 23, 2026 announcement; model positioning; voice design and replication; language and voice-library claims; performance controls; vendor-reported evaluations; safeguards; rollout by product
Supports: Google announced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS on September 23, 2026. It says both began rolling out that day in the Gemini API and Google AI Studio, while Gemini Enterprise API access was still coming soon. Capability, quality and benchmark statements are Google claims.
Reviewed: Model IDs; Interactions API request structure; single- and multi-speaker use; streaming; output formats; voice options and storage; supported languages; supported-model matrix; migration guide; limitations
Supports: The documentation identifies gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts, documents text-only input and audio-only output, unary WAV and streaming PCM defaults, two-speaker generation, persistent and stateless custom voices, language coverage and migration changes from preview TTS models.
Reviewed: Gemini 3.8 Flash TTS and Flash-Lite TTS standard pricing; free and paid tiers; temporary 2026 rates; January 2027 rates; context caching; audio-token conversion
Supports: Google lists paid prices through December 31, 2026 of $0.50 per million text-input tokens for both models, $9 per million audio-output tokens for Flash and $6 for Flash-Lite. It says prices double on January 1, 2027 and defines audio as 25 tokens per second.
Reviewed: September 15, 2026 publication date; model dependencies; inputs; outputs; distribution; evaluation approach; intended use; known limitations; safety summary
Supports: The model card says both TTS variants are based on Gemini 3 Pro, accept text up to 8K tokens and return audio with up to 64K output tokens. It documents distribution through the Gemini API and AI Studio and provides vendor-authored evaluation and limitation context.
AccessAllGPT reviewed three first-party sources on September 27, 2026: AWS’s September 25 deployment announcement and worked example, the current Qwen model card, and AWS’s SageMaker AI pricing page. We checked availability, exact model and JumpStart identifiers, model version, license, languages, reference inputs, output format, instance and memory configuration, serving route, observed memory values, scaling guidance and pricing basis. AWS and Qwen capability, performance and quality statements are labeled as vendor claims; identifiers and documented request fields are service-contract facts; rollout controls are AccessAllGPT analysis. We did not have an AWS account or GPU quota and did not deploy, invoke, benchmark, price or consent-test the model.
Reviewed: September 25, 2026 publication date; JumpStart availability; model and container identifiers; architecture; prerequisites; deployment configuration; GPU-memory observations; request contract; languages; output format; scaling; CloudWatch monitoring; cleanup
Supports: AWS says Qwen3-TTS-12Hz-1.7B-Base can now be deployed from SageMaker JumpStart to a managed real-time endpoint. Its worked configuration pins JumpStart model ID huggingface-ttsvoiceclone-qwen3-tts-12hz-1-7b-base at version 1.0.1 on ml.g6.4xlarge, sets GPU memory utilization to 0.45, requires a custom TTS route attribute, and returns 24 kHz audio. AWS reports startup memory and KV-cache observations from its example; these are vendor measurements, not AccessAllGPT benchmarks.
Reviewed: License; model family overview; released-model table; language support; streaming status; three-second clone description; local installation and inference; reference-audio contract; vLLM status; evaluation methodology; file metadata
Supports: The Qwen model card labels the weights Apache-2.0, lists ten supported languages and describes the 1.7B Base checkpoint as capable of a three-second rapid voice clone and fine-tuning. It documents reference audio plus transcript as the normal cloning inputs. The card’s latency, quality and benchmark statements are Qwen claims; it also says vLLM-Omni online serving is planned later even though AWS provides its own managed serving container.
Reviewed: Pricing overview; on-demand and Savings Plans choices; pay-for-use statement; Real-Time Inference free-tier row; pricing calculator link
Supports: AWS describes SageMaker AI as usage-priced, with on-demand pricing that has no minimum fee or upfront commitment and optional Savings Plans. The page does not publish one universal Qwen3-TTS per-character or per-token tariff; endpoint cost depends on infrastructure and region. Its Real-Time Inference free-tier row names older m4.xlarge or m5.xlarge instances, not the ml.g6.4xlarge GPU used in the Qwen walkthrough.
AccessAllGPT reviewed five first-party Google sources on September 27, 2026: the September 24 launch article, September 25 Google Cloud general-availability announcement, Live API documentation last updated September 25, live Agent Platform pricing table, and September 15 Gemini 3.8 Audio model card. We checked announcement date, availability, exact model ID, endpoints, modalities, protocol, pricing, context and output limits, session duration, language statements, avatar controls, watermarking and known limitations. Launch and performance statements are labeled as Google claims; API fields and prices are documented service facts; rollout guidance is AccessAllGPT analysis. We did not have a Google Cloud credential or enterprise allowlist, so we did not call the API, create an avatar, inspect a response receipt, test tool execution, verify SynthID detection or measure latency, quality, language performance, session duration or cost.
Reviewed: September 24, 2026 announcement date; Gemini Enterprise availability; multimodal conversation; asynchronous tool execution; 97-language claim; custom-avatar allowlist; SynthID; API link
Supports: Google announced Gemini 3.8 Live with Live Avatar on September 24, says it is available in Gemini Enterprise, and describes near-real-time audio and video, background tool calls, 97-language transitions, preset and allowlisted custom avatars, and SynthID watermarking. These capability and quality statements are vendor claims.
Reviewed: September 25, 2026 publication date; general availability; enterprise production positioning; features; US and EU endpoints; provisioned throughput; custom-avatar controls; SynthID; demos
Supports: Google Cloud calls Live Avatar generally available and ready for enterprise production in Gemini Enterprise. It lists web, mobile and kiosk use; asynchronous tools; live visual input; US and EU endpoints; provisioned throughput; curated avatars; allowlisted custom avatars; and SynthID. Gemini 3.8 Live Extended Thinking remains private preview.
Reviewed: Overview; key features; technical specifications; supported models; gemini-3.8-live availability and feature row; protocols and modalities; page update date
Supports: The documentation lists model ID gemini-3.8-live as generally available with native audio, transcriptions, voice activity detection, affective dialogue, proactive audio, tool use and Live Avatar. It documents a stateful WebSocket protocol, text/audio/image/video inputs, audio/text/avatar-video outputs, and 24 supported conversational languages. The page was last updated September 25, 2026 UTC.
Reviewed: Gemini 3 standard-model pricing table; Gemini 3.8 Live API rows; modality-specific input and output prices; region; cache columns; billable-response rule
Supports: Google lists non-global Gemini 3.8 Live API prices per one million tokens: $0.75 text input, $1 image/video input, $3 audio input, $4.50 text output including response and reasoning, $12 audio output, and $1 avatar-video output. The table shows no cached-input rates and says only requests returning HTTP 200 are charged for input or output.
Reviewed: Publication date; model dependencies; inputs and outputs; context and output limits; distribution; intended use; known limitations; evaluation and Frontier Safety summaries
Supports: The model card says Gemini 3.8 Audio is based on Gemini 3 Pro. For Live it lists audio, image, video and text input with up to 128K context and 64K output; with Live Avatar it lists audio, video and text output with a 24K output limit. It names hallucination, occasional slowness or timeouts, a January 2025 knowledge cutoff and only a few minutes of continuous Live Avatar interaction as limitations.
AccessAllGPT reviewed three public sources on September 27, 2026: Anthropic’s September 25 guest post and validation addendum, the public Cosmic9 result repository, and Matt von Hippel’s August 7 pre-commitment challenge. We checked the target, model and harness identity, prompts, human involvement, two computational routes, resource and end-user cost estimates, validation statements, concurrent result, artifact availability, disclosed conflicts, and limits on generalization. Anthropic’s narrative and prices are labeled as reported claims; public files and documentation are artifact facts; the original challenge establishes that the target was named before the attempt; deployment guidance is AccessAllGPT analysis. We did not rerun the computation, download the hundreds-of-megabytes archives, reconstruct coefficients, inspect private Claude traces, or peer-review the physics.
Anthropic (guest post by Matt von Hippel, with addendum by Lance Dixon) · Retrieved
Reviewed: September 25, 2026 publication date; challenge; nine-loop computation; prompts; methods; compute and user-cost estimates; concurrent human result; interpretation; Lance Dixon validation addendum; downloadable materials; disclosure
Supports: Anthropic published the account on September 25. It says Fable 5.1 in Claude Science computed a six-particle planar N=4 super-Yang-Mills amplitude at nine loops by two routes, with limited human direction. The post estimates either route would cost an end user $1,000–$2,000 and says the direct bootstrap used about $100 of 96-CPU compute for one week. Independent physicist Lance Dixon describes how he validated the result. The post discloses that Anthropic compensated the guest author and gave Dixon Claude usage credits.
Reviewed: Status; method summary; two representations; rational and modular certification; validation notes; conventions; manifests and checksums; downloadable amplitude, symbol-space and function artifacts; Zenodo archive reference
Supports: The result page publishes machine-readable files for the nine-loop amplitude, explains the form-factor and direct-bootstrap routes, says the two representations agree on every compared coefficient, identifies assumptions and untested items, and provides a SHA-256 manifest plus validation records. It also states that the computation programs are not distributed and hosts files over 100 MB separately on Zenodo.
Reviewed: August 7, 2026 challenge; definition of a meaningful result; named N=4 super-Yang-Mills nine-loop target; computational-difficulty rationale; expected academic-compute constraint; author biography and conflict context
Supports: Before Anthropic attempted the work, von Hippel publicly named the six-particle N=4 super-Yang-Mills amplitude at nine loops as one result that would count as meaningful AI progress in his former field. The post framed the target as computationally difficult but solvable in principle with known methods, and required resources available to an academic rather than extraordinary compute.
AccessAllGPT reviewed the first-party AWS architecture post published September 11, 2026, the live AgentCore Evaluations developer page and the live AgentCore pricing page on September 14, 2026; all three returned HTTP 200. We recorded the AWS article’s canonical link to the sample in the aws-samples GitHub organization, but direct GitHub retrieval failed after retries because the publishing environment could not establish a connection. We checked the announcement date, architecture, evaluator catalog, sampling range, telemetry path, IAM example, stated caveats, sample identity and evaluation rates. We did not deploy the sample, create an AWS account, run an evaluator, submit production traces or test AWS DevOps Agent. Service behavior and performance statements are AWS claims; prices are the public rates retrieved on September 14; recommendations are AccessAllGPT analysis.
Reviewed: September 11, 2026 publication metadata; architecture; built-in evaluators; online and on-demand evaluation; responsible AI safeguards; AWS DevOps Agent investigation; adoption notes; open-source sample
Supports: AWS published a dual-monitoring reference architecture for multi-agent systems using AgentCore Evaluations for sampled quality scoring and AWS DevOps Agent for infrastructure investigation. The post documents a four-agent airline example, 16 built-in evaluators, 0.01–100 percent online sampling, OpenTelemetry and CloudWatch integration, an IAM failure demonstration, caveats and source code.
Reviewed: Service overview; supported instrumentation; evaluator resource and IAM model; quotas; online, on-demand, batch and dataset evaluation topic index
Supports: AWS documents AgentCore Evaluations as automated assessment before and after deployment, using OpenTelemetry or OpenInference traces and LLM-as-a-Judge techniques for built-in and custom evaluators. The page also documents private custom evaluator resources, IAM policies and regional configuration quotas.
Reviewed: Evaluations consumption model; price table for built-in, custom and batch evaluations; CloudWatch charges; sampling cost controls; optimization preview conditions
Supports: AWS lists built-in evaluation at $0.0024 per 1,000 input tokens and $0.012 per 1,000 output tokens, custom evaluation at $1.50 per 1,000 evaluations plus model usage, and batch evaluation at $0.0018 per 1,000 input tokens and $0.009 per 1,000 output tokens. CloudWatch telemetry charges are separate.
Reviewed: Repository route and sample identity as linked from the September 11 AWS article; direct GitHub retrieval was attempted but blocked by network exhaustion
Supports: The AWS article links a sample implementation in the aws-samples organization for the dual-monitoring system it describes. AccessAllGPT recorded that first-party link but could not retrieve, deploy, execute or security-review the repository.