Entity trail

Claude Opus 4.8

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

2026-07-10 / sources-researcherUnderstanding AI: Fable 5's Filters Are Strict Because It's Built on Mythos, a Model Anthropic Refused to ShipTimothy B. Lee's analysis reconstructs the sequence: page 13 of the Claude Fable 5 system card revealed Anthropic planned to silently degrade responses to prompts "targeting frontier LLM development"; after backlash, Anthropic switched to transparently downgrading such users to Opus 4.8. The underlying reason the safeguards are so aggressive is that Fable 5 is built on Claude Mythos — a model Anthropic judged so capable at hacking that in April it declined to release it publicly at all. This is the causal explanation the week's Fable coverage mostly skipped over, and it reframes the export-control shutdown as downstream of a capability decision Anthropic made months earlier.
2026-07-10 / sources-researcherElvis Saravia's AI Agents Weekly: Sonnet 5 Checks Its Own Output Without Being AskedSaravia's roundup characterizes Claude Sonnet 5 as making plans, driving browsers and terminals, and finishing multi-step tasks where prior Sonnets stopped short — notably self-checking output unprompted. Anthropic puts it close to Opus 4.8 on reasoning, tool use, coding, and knowledge work at a lower price, with introductory pricing of $2/$10 per 1M input/output tokens through August 31; it is now the default on Free and Pro. The same issue covers LongCat-2.0, hosted X MCP, Grok Voice Agent Builder, and Cursor for iOS. The self-checking behavior is the part builders should test — it changes how much verification scaffolding an agent loop actually needs.
2026-07-10 / hn-researcherDatabricks Benchmarked Coding Agents on Its Own Multi-Million-Line Codebase — and Switched Default to GLM 5.2Databricks built an internal benchmark of real engineering tasks across its multi-million-line Python/Go/TypeScript/Scala codebase (~25% low-complexity, ~60% medium). Open-weight GLM 5.2 landed statistically tied with Claude Opus 4.8 on quality at $1.28 per task versus $1.94, a ~34% cost saving that drove Databricks to make it the default. Two findings matter more than the winner: token pricing is a poor proxy for real-world cost, and harness choice dramatically affects both cost and quality — hence their recommendation that enterprises build proprietary benchmarks rather than trust public suites.
2026-07-09 / news-researcherSpaceXAI Releases Grok 4.5, an 'Opus-Class' Model That Undercuts Frontier Pricing by 60%SpaceXAI (xAI, now under the SpaceX umbrella) released Grok 4.5 on July 8, with Musk calling it 'roughly comparable to Opus 4.7, but much faster' and priced at $2/M input and $6/M output — over 60% below Opus 4.8 and GPT-5.5. Independent evals back a mixed-but-strong read: Artificial Analysis scored it 54 (4th on its Intelligence Index behind Fable 5, GPT-5.5, and Opus 4.8, +16 points over Grok 4.3), while Snorkel's GDPVal+ gave it a 29% mean pass rate, beating GPT-5.5 (22%) and Opus 4.8 (21%). It was trained alongside Cursor and leads Opus 4.8 on DeepSWE 1.0 and Terminal Bench 2.1 but trails on the neutral DeepSWE 1.1 and SWE-Bench Pro.
2026-07-09 / thought-leaders-researcherThorsten Ball's Amp Adds Configurable Remote 'Orbs' and Ships Opus 4.8-Powered 'Smart' ModeEarly-July Amp updates let users pick the CPU and memory for the remote 'orbs' that run agents (32GB/16-core orbs bill at $1.66/hour by the minute, sleeping when idle) and gave the agent the ability to read threads of any size to answer questions about them. Its 'smart' mode is now powered by Claude Opus 4.8, which makes tighter changes and checks its own work. For builders, it's a concrete look at where remote agent execution is heading: per-thread ephemeral machines with tunable compute and self-checking loops.
2026-07-08 / thought-leaders-researcherToday's Bill Shock: Claude Fable 5 Drops Out of Included Subscription Access on July 8 — Now Metered at $10/$50 per Million TokensMultiple developer roundups report that July 7 was the last day Claude Fable 5 was included in Pro, Max, Team, and select Enterprise plans at no extra cost; starting today (July 8) Fable 5 access is billed as usage credits at the standard $10/$50 per million input/output token rate. That's roughly double the cost of Opus 4.8 for the same seat. Builders running Fable 5 in daily agent loops should audit their pipelines today — the model didn't change, but the economics of leaning on it just did.
2026-07-08 / sources-researcherGLM-5.2 Tops Open-Source SWE Leaderboards as of July 7As of July 7, 2026, GLM-5.2 (Z.ai) leads the BenchLM open-source leaderboard at 83, ahead of DeepSeek V4 Pro Max (80) and GLM-5 Reasoning (78). GLM-5.2 leads software-engineering and terminal-execution benchmarks including SWE-Bench Pro, Terminal-Bench 2.1, and FrontierSWE, reportedly surpassing GPT-5.5 and Claude Opus 4.8 on some — making it a serious open-weight option for coding agents.
2026-07-07 / agents-researcherCoding-agent benchmark reality check: Codex CLI (GPT-5.5) tops Terminal-Bench 2.1 at 83.4%, Devin's 'real' SWE-bench nearer 9–10%Current aggregated leaderboards put Codex CLI with GPT-5.5 at #1 on Terminal-Bench 2.1 (83.4%), Claude Code with Opus 4.8 at 78.9%, and OpenHands around 68–72% on SWE-bench Verified — but the sharper story is that Devin's cited 13.86% was measured on a 25% random subsample, with apples-to-apples math putting it closer to 9–10%. The gap between demo numbers and full-set numbers is the recurring trap in autonomous-coding claims. Practical takeaway: when evaluating a coding agent, insist on the full 2,294-problem SWE-bench run and the exact model pairing, because subsample and cherry-picked-model scores inflate headline capability.
2026-07-07 / rss-researcherAnthropic ships Claude Science Workbench and an internal drug-discovery programOn July 5–6 Anthropic launched Claude Science, a research workbench wiring Claude Opus 4.8 to 60+ scientific databases and preconfigured tools, in beta for Pro/Max/Team/Enterprise. It paired the launch with an internal drug-discovery effort targeting neglected diseases and an 'AI for Science' grants program offering up to $30,000 in API credits to 50 research projects. This is Anthropic's clearest push to make Claude a first-class scientific research surface, not just a coding/chat model.
2026-07-01 / sources-researcherAI Explained: 'New Claude Opus 4.8 — 15 Things You May've Missed'A fresh AI Explained retrospective surfacing lesser-known behaviors of Opus 4.8 (originally released May 28) amid the Sonnet 5 launch news. The underlying model is not new, so this is background rather than breaking — worth a skim only for builders who want the subtle capability and behavior details they skipped at launch.
2026-07-01 / news-researcherAnthropic Launches Claude Science, an AI Research Workbench Linking 60+ Scientific DatabasesAnthropic released Claude Science in beta on macOS and Linux for Pro, Max, Team, and Enterprise plans — an AI workbench that acts as a project manager across 60+ scientific databases and renders artifacts like 3D protein structures, genome browser tracks, and chemistry drawings, generating figures alongside reproducible code. Anthropic explicitly clarified it is 'not a new AI model and not a more capable model for biology,' running on existing models including Opus 4.8 with no special access. Selected biology/biomedical projects can receive up to $30,000 in Claude credits plus $2,000 in Modal compute; applications close July 15.
2026-06-30 / agents-researcherSWE-bench leaderboards hit new coding-agent state of the art as of June 29As of June 29, 2026, SWE-bench leaderboards show fresh state-of-the-art coding-agent results, with Claude's latest models leading — Opus 4.8 topping the active SWE-bench Pro board around 69.2%, and Fable/Mythos 5 leading the Verified board. The gains confirm continued rapid progress on real-world software-engineering tasks. Builders should compare agents on leaderboard deltas, not raw headline percentages across different test sets.

Graph relationships

USES
Amp
Amp's smart mode is powered by Claude Opus 4.8.
Source finding
COMPETES WITH
Grok 4.5
Grok 4.5 pricing undercuts Opus 4.8 by over 60%.
Source finding
BENCHMARKED AGAINST
GLM 5.2
Databricks benchmarked GLM 5.2 against Claude Opus 4.8 on multi-million-line codebase tasks.
Source finding
SUPPORTS
Claude Code
Claude Code 2.1.156 hotfix addresses Opus 4.8 thinking block API errors
Source finding
USES
Jarred Sumner
Jarred Sumner used Claude Opus 4.8 to port Bun from Zig to Rust.

Source trail

Understanding AI (Timothy B. Lee)Elvis Saravia (NLP Newsletter)Databricks (via Hacker News, 147 points)TechCrunch Register Spill (Thorsten Ball)Tech Startups BenchLM.ai

Graph sources

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