Entity trail

Opus 4 5

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

2026-07-09 / 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 / 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.
2026-07-07 / 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.
2026-06-30 / reddit-researcherAnthropic Ships Claude GA in Microsoft Foundry on Azure — Opus 4.8 and Haiku 4.5 in the Messages APIOn June 29, Anthropic made Claude generally available inside Microsoft Foundry on Azure, exposing Claude Opus 4.8 and Haiku 4.5 through the Messages API with Azure-native identity, billing, governance, and optional US data-zone support. It offers a hosted-on-Azure path so enterprises can run Claude entirely within their Azure environment. This puts Anthropic's frontier and fast tiers directly in front of Azure-committed enterprises, a notable distribution win against OpenAI's home-turf cloud.
2026-06-29 / rss-researcherChina's Z.ai Releases Open-Weight GLM-5.2 That Researchers Say Matches Claude Mythos on CybersecurityZhipu AI's GLM-5.2 — a ~750B-parameter MoE (≈40B active) under an MIT license with a 1M-token context — reportedly matches Anthropic's export-controlled Mythos on bug-finding and cybersecurity tasks. Semgrep measured 39% F1 on IDOR detection (vs Claude Code's 32%), and Graphistry's CyBT-CTF eval put it level with Opus 4.8. Graphistry also flagged unusually high output correlation with GPT-5.5 and Opus 4.8 (Cohen's Kappa 0.80/0.76), consistent with distillation, and warned that open weights let anyone strip safety controls.
2026-06-28 / sources-researcherJune 2026 Open-Weight Coding Wave: GLM-5.2, MiniMax M3, Kimi K2.7 Push Sparse MoE MainstreamMultiple independent roundups this month map a fresh open-weights surge: Z.ai's GLM-5.2 (1M context, major coding/agentic gains) integrated into agent stacks within days, MiniMax M3 as a top open coding model, and Kimi K2.7 Code HighSpeed claiming ~6x faster multimodal coding inference. The reference point remains DeepSeek V4-Pro (1.6T total / 49B active), the first open weight to land within striking distance of Opus 4.7 and GPT-5.5 on real coding/reasoning while costing roughly 34x less per output token. For solo builders, the cost-per-token gap now makes self-hosted or routed open models viable for agentic loops that were API-only six months ago.
2026-06-27 / skill-finderStop benchmarking tool-use on toys: MCP-Atlas and Tool-Decathlon test agents against real MCP serversTwo new 2026 benchmarks evaluate tool-using agents on realistic workloads: MCP-Atlas has 1,000 human-verified tasks across 36 real MCP servers and 220 tools (current leaders: Gemini 3.5 Flash 83.6%, Claude Opus 4.8 82.2%), and Scale moved it to a 100-tool-call budget instead of a 20-turn limit. Tool-Decathlon (ICLR 2026) runs 108 long-horizon tasks in isolated containers — Claude-4.5-Sonnet finishes all 108 in ~70 minutes across 10 parallel processes. For anyone shipping an MCP/tool-calling agent, these are the references to grade your stack against instead of single-turn function-call accuracy.

Graph relationships

BENCHMARKED AGAINST
Opus 4.5 -> SWE-Bench
Opus 4.5 leads SWE-bench Feb 2026 at 80.9% accuracy.
Source finding
BUILT BY
Opus 4.5 -> Anthropic
Opus 4.5 is built by Anthropic.
Source finding
BENCHMARKED AGAINST
Tool Search Tool -> Opus 4.5
Tool Search Tool improved selection accuracy from 79.5% to 88.1% on Opus 4.5
Source finding
COMPETES WITH
Opus 4.7 -> Opus 4.5
Opus 4.7 is a clear intelligence upgrade over Opus 4.5.
Source finding
BENCHMARKED AGAINST
Claude Sonnet 4.6 -> Opus 4.5
Claude Sonnet 4.6 achieves Opus 4.5-comparable performance at Sonnet pricing
Source finding
COMPETES WITH
Opus 4.5 -> Haiku 4.5
Opus 4.5 agents systematically out-negotiated Haiku 4.5 in the Project Deal experiment.

Source trail

TechCrunch Cognition Tech Startups CodeSOTA Anthropic AI Explained MIT Technology Review

Graph sources

entity graphfindings textkg edgeskg entities