Entity trail

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.
2026-07-09 / sources-researcherCognition Ships SWE-1.7: Near-Frontier Coding at ~$2/Task, But Devin-OnlyCognition launched SWE-1.7 on July 8, its most capable coding model, RL post-trained on Kimi K2.7 Code inside the real Devin harness for a 12.2-point FrontierCode 1.1 jump over the base. It scores 42.3% on FrontierCode 1.1 (vs GPT-5.5's 43.0% and Opus 4.8's 46.5%) and 81.5% on Terminal-Bench 2.1, running at ~1000 tok/s via Cerebras for roughly $1.97/task. The catch for builders: it's exclusive to Devin with no direct API.
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 / skill-finderYour Explore/search subagent got smarter — it now inherits the session model (capped at Opus 4.8)As of v2.1.198 the Explore agent was upgraded from Haiku to inheriting the main session's model (capped at Opus 4.8), so read-only codebase exploration now runs at frontier quality instead of a cheap tier. Delegated search and mapping tasks return materially better results. Actionable: push more broad 'find/where/how does X work' fan-out onto the Explore agent now that it reasons at session strength, and reserve your main context for synthesis.
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.

Graph relationships

BENCHMARKED AGAINST
SWE-1.7
SWE-1.7 scores 42.3% on FrontierCode 1.1 vs Opus 4.8's 46.5%.
Source finding
BUILT BY
Anthropic
Opus 4.8 is a model built by Anthropic.
Source finding
BENCHMARKED AGAINST
SWE-Bench
Opus 4.8 achieved 88.6% on SWE-bench Verified
Source finding
USES
Claude Code
Claude Code's Explore agent was upgraded from Haiku to Opus 4.8 in v2.1.198.
Source finding
COMPETES WITH
Claude Fable 5
Claude Fable 5 now costs roughly double the rate of Opus 4.8 per token

Source trail

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

Graph sources

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