AI Coding Live News

On November 8 (morning of November 9 in Singapore), independent evaluator Artificial Analysis released version 2 of its Decision Index for decision models. The headline metric is now a Decision Score that rewards both correct answers and well-calibrated confidence, the private-data share rises from 25% in v1 to 45%, and two new evaluations are added: AA-Paperclip with 1,500 private documents and AA-Symmetry for answer consistency. Among decision models, Nace AI's Drex Max v1.1 and Fastino Labs' GLiDE v1.2 both score 73, with Drex Max narrowly ahead, and Base Labs' Mammoth 27B scores 72. General LLMs score higher, with Claude Haiku 5.5 (Max) at 77 and GPT-6 Luna (Max) at 76, but cost $6,240 and $1,530 per 1M tasks versus $102 for Drex Max.

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On 2026-11-06 Kakao open-sourced Kanana-2-v-decide-3b-2611 on Hugging Face (~3.67B), built on Kanana-2-v-3b: no text generation, only choice / noul / score with probabilities. Vendor: 72.50 on Kanana Decision Bench; 61.23 avg on Decision Index + Vision; mean <0.04s on one H200, claimed ~43x vs GPT-6 Luna. Commercial Kanana Open License.

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Artificial Analysis released an independent evaluation of Cognition's new coding agent, Devin Fusion. Moving beyond single-model execution, Devin Fusion employs an asymmetric multi-agent architecture pairing Claude Opus 5.5 (max) as the lead reasoning orchestrator alongside GPT-6 Luna (high) as a high-speed parallel worker. In the standardized Coding Agent Index, Devin Fusion achieved an elite score of 68.1 (matching Muse Code at 68.0 and rivaling Claude Code Sonnet 5.5 at 68.4). Crucially, the hybrid architecture slashes average task expense from $13.04 down to $9.01 (a 31% cost reduction) while shortening execution runtime from 65 to 55 minutes.

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Cognition said on October 19 that Devin Fusion, pairing Claude Opus 5.5 as the lead with GPT-6 Luna as the sidekick, scored 68.1 on the Artificial Analysis Coding Agent Index v1.5. Artificial Analysis's current data puts it first, but only 0.1 ahead of Muse Code with Muse Wonder Full at 68.0, effectively a tie; Antigravity CLI with Gemini 4 Argon is third at 63.8. Cognition says the pairing costs 31% less per task than Claude Code with Opus 5.5 (vendor-reported). Fusion ships in Devin CLI and Desktop.

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On October 19 Inception released Mercury 3, which it calls the most capable diffusion LLM (dLLM) to date. Per the vendor, it is more than 40x the size of Mercury 1, outputs 1,068 tokens/s, expands context from 260K (Mercury 2.5) to 1M tokens, and beats GPT-6 Luna and Claude Haiku 5.5 (both medium) on GPQA Diamond, IFBench, SWE-Bench Atlas and more. List price is $0.20/M input and $0.70/M output, 50% off at launch. It is live on the Inception API, OpenRouter, Baseten and Vercel AI Gateway with an OpenAI-compatible API. All scores are vendor-reported and not yet independently reproduced.

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On Oct 14 OpenAI's API deprecations page announced that GPT-4o (2024-08-06 and 2024-11-20 snapshots), GPT-4o mini (2024-07-18), GPT-4.1 and GPT-4.1 mini (2025-04-14) will be removed from the API on January 14, 2027. Fine-tunes built on them shut down the same day, and the recommended replacement for all four is gpt-6-luna, listed at $0.10 input / $0.50 output per 1M tokens versus $2.50 / $10 for GPT-4o.

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On Oct 9 Pine AI released Pine Computer in private beta: cloud virtual computers plus a harness and runtime built for AI, driven by an API across browser, files and shell. Instead of repeated screenshots, the OS, browser and apps push change notifications to the model ("epoll for AI perception"). On SaaS-Bench v1.1 (106 tasks, 23 apps) GPT-5.6 Luna on Pine scored 78.3% on checkpoints vs 74.3% for Opus 5 + Claude Code, though its fully-resolved rate (27.4%) trails the latter (31.1%).

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Per the OpenAI API changelog, the Decisions API entered public beta on 2026-10-06 with gpt-6-luna: a dedicated POST /v1/decisions endpoint takes text/images plus a list of questions and returns typed predicate, choice or score answers with probabilities, about 10x faster than the Responses API. Billing is input-only at $0.10 per 1M tokens (no output or cache charges); ZDR and HIPAA are supported and GA is expected within weeks.

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LLM-guided evolutionary algorithms (such as AlphaEvolve) have achieved breakthrough results in computational optimization, including circle packing and systems tuning. However, existing methods optimize strictly over iteration counts rather than fiscal expenditure, burning dozens of dollars per task. Researchers from NUS, Stanford, and HKUST present FrugalEvo (arXiv:2610.03675), a cost-aware program evolution framework maximizing gain per dollar. FrugalEvo implements an asymmetric dual-LLM division of labor: a powerful, higher-cost LLM explores high-level solution concepts, while a cheap, high-speed LLM generates and iteratively refines concrete implementations. Additionally, FrugalEvo engineers prompt harnesses to maximize prefix KV-cache reuse across evolutionary generations. Across 10 mathematical optimization problems and ALE-Bench-Lite suites, FrugalEvo matches or outperforms OpenEvolve, EvoX, and SwarmResearch. On circle packing, FrugalEvo achieves SOTA performance using GLM-5.3/Flash for only $0.55 and GPT-5.6 Terra/Luna for $1.68—slashing costs by up to 99% compared to conventional $50 multi-agent baselines.

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Zed Industries shipped editor Zed v1.21.0 on 2026-09-23. AI: Agent Panel BYOK for Claude Opus 5.5 (Anthropic) and GPT-6 Astra/Sol/Luna (OpenAI); SuperGrok sign-in for Grok models; DeepSeek Flash 4.1; Z.ai GLM via Mistral provider; agent.prevent_idle_sleep on by default so long agent turns do not idle-sleep the machine. Also: language-server command picker, showDocument open file/URL, faster syntax/Markdown code-block rendering, ACP compatibility and async task wakeup improvements.

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Vercel AI SDK shipped @ai-sdk/[email protected] on 2026-09-26: request-level and positioned system-message reasoningEffortUpdate now accept 'none' so GPT-6 Sol/Luna conversations can turn reasoning off mid-thread. Updates are validated against each model’s supported efforts—unsupported request-level updates warn and omit; unsupported historical/message-level updates reject. Companion @ai-sdk/[email protected] and @ai-sdk/[email protected] pick up the dependency.

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