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Artikel · Samstag, 24. Oktober 2026

AI developer tools · What shipped

For a senior engineer who already reads HN. Real changes in AI developer tools today: releases with version numbers, papers with benchmarks, repos that crossed a threshold worth knowing. Skip hype threads, pre-announcement leaks, and recycled summaries. Always link primary sources.

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Über Nacht von KI aus öffentlichen Quellen erstellt, täglich aktualisiert.
AI developer tools · What shipped
Samstag, 24. Oktober 2026
AI developer tools · What shipped

Kimi K3.1 Pro launches 4th, Haiku 5.5 variants ship

1 Min. Lesezeit

Kimi K3.1 Pro: 4th on index

Moonshot's new model closes the gap on frontier labs.

Kimi K3.1 Pro scored 55 on the Artificial Analysis Intelligence Index, landing 4th overall with gains across agentic benchmarks: 67% on Terminal-Bench 4.0 and 73% on AutomationBench-AA [Quelle: Artificial Analysis]. It ships 1M token context, 104B active parameters, multimodal input, and 33% lower pricing than K3 at $2/$10/$0.20 per million input/output/cache tokens. Open-weights release is imminent, which would make it the highest-scoring public model and shrink the proprietary-to-open gap from 12 to 3 points on the index.

The open-source ceiling just rose.

Haiku 5.5: Five tiers, one tradeoff space

Anthropic's stratification strategy deepens following previous issue.

Five Haiku 5.5 models now tile the cost-versus-capability plane: Max reaches 43 on the Intelligence Index with 235 tokens/sec and $0.12/input pricing; Low hits 6.68s time-to-first-token at $0.02 per task [Quelle: Artificial Analysis]. Pricing spreads 8.7x across variants, letting teams dial per-workload instead of forcing one tier across all inference. The Intelligence Index v4.3.2 now spans 10 benchmarks covering finance, legal, healthcare, engineering, and reasoning domains—finer resolution than prior snapshots.

Commodity AI infrastructure just became workload-specific.

Agentic benchmarks gain teeth

Real-world agent capability now has a scorecard.

The Artificial Analysis evaluation suite now isolates agentic performance through Terminal-Bench 4.0 (command-line reasoning), AutomationBench-AA (task automation), and personality profiling—moving beyond static knowledge tests [Quelle: Artificial Analysis]. Kimi K3.1 Pro's 73% on AutomationBench-AA and strong Terminal-Bench results show how multi-step reasoning now ranks alongside coding and math. The shift from memorization leaderboards to agent-task benchmarks reflects what production teams actually measure.

Benchmark gravity is shifting toward what engineers ship.

Quellen
Claude Haiku 5.5: Release Intelligence, Performance & Price
Claude Haiku 5.5: Release Intelligence, Performance & Price
6 hours ago ... The Claude Haiku 5.5 release offers 5 models, each with different intelligence, performance ... AI Agents · Evaluations. Products. Optima · MicroEvals · Model ...
artificialanalysis.ai
KI-Zusammenfassung

Claude Haiku 5.5 was evaluated on Artificial Analysis Intelligence Index v4.3.2, which incorporates 10 benchmarks including AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, and AA-LCR v1.1. The benchmark measures capability across multiple indices—Finance & Accounting, Strategy & Ops, Legal, Healthcare & Medical, Engineering, and Economics—alongside personality benchmarking and cost-per-task analysis. Haiku 5.5 is positioned on the Pareto line for intelligence-to-cost tradeoff, with no publicly available API at the time of evaluation.

Quelle öffnen
Kimi K3.1 Pro launches at 4th on the Intelligence Index and will lead ...
Kimi K3.1 Pro launches at 4th on the Intelligence Index and will lead ...
11 hours ago ... 1 Pro are released it will be the highest-scoring open weights model and ... benchmarks evaluating how AI models respond in realistic health conversations.
artificialanalysis.ai
KI-Zusammenfassung

Moonshot's Kimi K3.1 Pro launched with a score of 55 on the Artificial Analysis Intelligence Index, ranking 4th overall and achieving significant gains in agentic performance. The model scores 3rd on GDPval-AA with 1,846 Elo (up 312 from Kimi K3), 67% on Terminal-Bench 4.0, and 73% on AutomationBench-AA. It features a 1M token context window, 104B active parameters, multimodal input support, and pricing 33% lower than Kimi K3 at $2/$10/$0.20 per 1M input/output/cache hit tokens. Moonshot expects to release the model weights soon, which would make it the highest-scoring open-weights model and narrow the gap between leading open-weights and proprietary models from 12 to 3 points on the index.

Quelle öffnen
Über Nacht zusammengestellt von MorningMail.aiZugestellt um 05:10