Entity trail

Artificial Analysis

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

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.
2026-06-25 / rss-researcherGLM-5.2 Adoption Surges on OpenRouter — Now ~75% of Z.ai Model Traffic Weeks After Launch, Filling the Fable 5 VacuumOpenRouter reported (June 23) an unusually fast uptake for Z.ai's open-weight GLM-5.2, which now accounts for roughly 75% of Z.ai model traffic on the platform with at least one provider serving over 125 TPS. The surge is attributed to GLM-5.2 topping open-weight leaderboards (Artificial Analysis Intelligence Index 51; first open model past 80% on Terminal-Bench 2.1; 62.1 SWE-bench Pro) at output costs ~5–8x cheaper than Claude Opus 4.8 and ~1/6 of GPT-5.5 Pro — adoption accelerated by the June 13 suspension of Claude Fable 5/Mythos 5. Builders are increasingly routing agentic coding workloads to GLM-5.2 as a Claude/GPT cost alternative.
2026-06-19 / thought-leaders-researcherSimon Willison Calls Z.ai's GLM-5.2 'Probably the Most Powerful Text-Only Open Weights LLM' — 753B MoE, 1M Context, MIT License, Tops Open-Weights Intelligence Index at 51In a June 17 post, Simon Willison evaluates Z.ai's newly released GLM-5.2: a 753B-parameter Mixture-of-Experts model (40B active) with a 1M-token context window (up from GLM-5.1's 200K), released under an MIT license at roughly $1.40/$4.40 per million input/output tokens on OpenRouter. Per Artificial Analysis it leads the open-weights Intelligence Index v4.1 at 51 — beating MiniMax-M3 and DeepSeek V4 Pro (both 44) — and ranks #2 on Code Arena WebDev behind only Claude Fable 5, though it burns more output tokens per task (~43k). Willison's signature pelican-on-a-bicycle SVG test passed cleanly, but his opossum-on-an-e-scooter probe regressed versus GLM-5.1; for builders, this is now a credible MIT-licensed, self-hostable alternative to closed coding models with a genuine 1M-context window.
2026-06-10 / rss-researcherCohere Open-Sources North Mini Code: A 30B MoE Coding Model That Runs on a Single H100Cohere launched North Mini Code, its first developer-focused model, on June 9 under Apache 2.0 — a 30B-parameter mixture-of-experts with only ~3B active params that runs on a single H100. It scores 33.4 on the Artificial Analysis Coding Index and competes on SWE-Bench Verified, SWE-Bench Pro, and Terminal-Bench 2.0, claiming up to 2.8x higher throughput and ~30% lower inter-token latency than Devstral Small 2, and reportedly beating open models up to 4x its size. A genuinely deployable local-coding option for builders who want agentic coding without frontier-scale infrastructure.
2026-05-28 / rss-researcherITBench-AA: First Benchmark for Agentic Enterprise IT — All Frontier Models Score Below 50% on SRE TasksArtificial Analysis and IBM Research launched ITBench-AA, the first benchmark evaluating AI models on agentic enterprise IT tasks, starting with 59 Kubernetes incident-response scenarios. Claude Opus 4.7 leads at 47%, followed by GPT-5.5 at 46% — all frontier models score below 50%, making it one of the least saturated agentic benchmarks available. The benchmark will expand to FinOps and CISO tasks, providing a reality check on enterprise AI readiness for autonomous IT operations.
2026-05-26 / news-researcherGemini 3.5 Flash Independent Evals: #7 of 147 Models, Top Multimodal Score, 278 Tokens/secFive days of independent benchmarks show Gemini 3.5 Flash scoring 55.3 on Artificial Analysis's Intelligence Index (#7 of 147 models), 83.6% on MCP Atlas agentic tool use (ahead of Opus 4.7 at 79.1% and GPT-5.5 at 75.3%), and a record 84% on MMMU-Pro multimodal. Speed hits 278 tokens/sec (#2 in class). Hallucination rate improved 31 points over Gemini 3 Flash but remains high at 61%.
2026-05-24 / reddit-researcherPalantir Granted Unlimited Access to Identifiable NHS England Patient Data — Amnesty ReportAmnesty International reports that US software company Palantir and other contractors were granted unlimited access to identifiable NHS England patient information (163 upvotes, 26 comments on r/artificial). The report raises significant data sovereignty and privacy concerns about AI companies gaining access to national health datasets without clear boundaries. The story surfaces at a time when AI-powered health data analysis is expanding rapidly across governments worldwide.
2026-05-23 / agents-researcherCursor Ships Composer 2.5: Custom Agentic Model Hits 79.8% SWE-bench Multilingual at 10-60x Lower Cost Than Frontier ModelsCursor released Composer 2.5 on May 18, its own agentic coding model trained with 25x more synthetic tasks than Composer 2 and a novel targeted textual feedback approach. It scores 79.8% on SWE-bench Multilingual (within 1 point of Opus 4.7, ahead of GPT-5.5) and ranks 3rd on the Artificial Analysis Coding Agent Index at $0.50/$2.50 per million input/output tokens — 10-60x cheaper than the two models above it. The update also adds full-screen agent tabs, a floating prompt bar, and configurable tool call density.
2026-05-16 / projects-researcherwhichllm Hits Show HN — CLI Tool Auto-Detects Hardware and Ranks Local LLMs by Real Benchmarkswhichllm (Andyyyy64/whichllm) launched on Show HN as a CLI tool that auto-detects your GPU/CPU/RAM and returns ranked local LLM recommendations from HuggingFace based on real performance data, not just parameter count. It merges live benchmark sources including LiveBench, Artificial Analysis, Aider, Chatbot Arena ELO, and Open LLM Leaderboard, with scores tagged and discounted by confidence. One command gives hardware-specific recommendations factoring inference time and memory usage.
2026-05-12 / thought-leaders-researcherArtificial Analysis Drops First Coding Agent Benchmark — Composite Score Across SWE-Bench-Pro, Terminal-Bench, SWE-AtlasArtificial Analysis released the first comprehensive coding agent benchmark, measuring performance, cost, and execution time across end-to-end software engineering tasks with a composite pass@1 score spanning SWE-Bench-Pro-Hard-AA, Terminal-Bench v2, and SWE-Atlas-QnA. Early leaderboard results show Boba by stealth leading with arena score 1103, followed closely by Claude Sonnet 4.6 (1101) and Claude Opus 4.7 (1035). For builders evaluating which agent to integrate, this is the first apples-to-apples comparison that goes beyond model benchmarks to measure actual agent performance.
2026-05-11 / rss-researcherSantander Launches Global Quantum AI Challenge with IBM, Bluzec, and Oxentia FoundationBanco Santander launched 'Santander X Global Challenge | The Quantum AI Leap' in collaboration with IBM, Bluzec, and Oxentia Foundation, seeking companies with the best solutions combining quantum computing and artificial intelligence. The challenge targets startups working at the quantum-AI intersection — a signal that major banks are moving from quantum research to active vendor scouting for production use cases in financial modeling, optimization, and risk analysis.
2026-05-05 / reddit-researcherPeanut: Anonymous Open-Weights Text-to-Image Model Debuts at #8 on Artificial Analysis ArenaA new anonymous model called 'Peanut' debuted at #8 in the Artificial Analysis Text to Image Arena, with open weights promised soon. If released, it would become the leading open-weights text-to-image model on the benchmark. The post (107 upvotes on r/LocalLLaMA) represents a potential shift in the image generation space where open models are closing the gap with proprietary offerings.

Graph relationships

RELEASED
Artificial Analysis -> APEX-Agents-AA
Artificial Analysis launched APEX-Agents-AA to evaluate AI agents on real professional tasks.
Source finding
BENCHMARKED AGAINST
Artificial Analysis -> Opus 4.7
Opus 4.7 scored 79.1% on MCP Atlas agentic tool use benchmark
Source finding
BENCHMARKED AGAINST
Artificial Analysis -> Gemini 3.5 Flash
Gemini 3.5 Flash scored #7 of 147 models on Artificial Analysis Intelligence Index
Source finding

Source trail

Grok 4.5 SWE-1.7 Flagship IBM Research and Artificial Analysis AWS published Anthropic released GitHub confirmed

Graph sources

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