AI Coding Live News

Kakao Open-Sources Kanana-2-v-decide-3b: 3.67B Multimodal Decision Model Returning Probabilities, Choices and Scores; Vendor Decision Index Avg 61.23

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.

Kakao Open-Sources Kanana-2-v-decide-3b: 3.67B Multimodal Decision Model Returning Probabilities, Choices and Scores; Vendor Decision Index Avg 61.23

Key Takeaways

  • Official: HF open weights kakaocorp/kanana-2-v-decide-3b-2611 (~3.67B), commercial Kanana Open License
  • Form: embedding similarity + softmax; choice / noul / score — no text generation
  • Vendor: 72.50 on Kanana Decision Bench; 61.23 avg on Decision Index + Vision
  • Vendor: mean <0.04s on one H200; claimed ~43x vs GPT-6 Luna
  • Try: transformers system_one / pipeline("decision") or HTTP System One server
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Linked Models & Agents:
⚡ Kanana-2-v-decide-3b-2611⚡ Kanana-2-v-3b⚡ GPT-6 Luna🤖 Agent decision / tool selection🌐 Kakao

Artificial Analysis Benchmarks Devin Fusion: Scoring 68.1 on Coding Agent Index While Slashing Task Cost by 31%

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.

Artificial Analysis Benchmarks Devin Fusion: Scoring 68.1 on Coding Agent Index While Slashing Task Cost by 31%

Key Takeaways

  • Artificial Analysis independently benchmarked Devin Fusion, scoring 68.1 on the standardized Coding Agent Index
  • Pioneers asymmetric model collaboration: Claude Opus 5.5 orchestrates architecture while GPT-6 Luna executes parallel sub-tasks
  • Cuts per-task execution costs from $13.04 to $9.01 (a 31% savings) and trims average completion time from 65 to 55 minutes
  • Outperforms Claude Code with Opus 5.5 on DeepSWE v1.1 (72.6% vs 68.4%) and SWE-Atlas-QnA (69.6% vs 66.4%)
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Devin Fusion with an Opus 5.5 lead and GPT-6 Luna sidekick tops the Artificial Analysis Coding Agent Index at 68.1, at what Cognition says is 31% lower cost per task than Claude Code with Opus 5.5

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.

Devin Fusion with an Opus 5.5 lead and GPT-6 Luna sidekick tops the Artificial Analysis Coding Agent Index at 68.1, at what Cognition says is 31% lower cost per task than Claude Code with Opus 5.5

Key Takeaways

  • 68.1 overall: DeepSWE v1.1 72.6, SWE-Atlas-QnA 69.6, Terminal-Bench v4 62.1, equally weighted (Artificial Analysis data).
  • Just 0.1 ahead of Muse Code with Muse Wonder Full (68.0); Antigravity CLI with Gemini 4 Argon 63.8, Codex with GPT-6.1 Sol (xhigh) 62.9.
  • Cost: Cognition says 31% lower per task than Claude Code with Opus 5.5 (vendor-reported).
  • Earlier, Fusion with Fable 5.1 + SWE-2 cut DeepSWE 1.1 cost per task from $14.63 to $7.88 (-46%) while scoring 63.1 vs 64.3.
  • Recommended pairing is Opus 5.5 + GPT-6 Luna, available by installing Devin CLI.
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Inception launches Mercury 3 diffusion LLM: 1,068 tokens/s and 1M context, beating GPT-6 Luna and Haiku 5.5 on several benchmarks per the vendor

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.

Inception launches Mercury 3 diffusion LLM: 1,068 tokens/s and 1M context, beating GPT-6 Luna and Haiku 5.5 on several benchmarks per the vendor

Key Takeaways

  • Speed: 1,068 tokens/s output; the vendor table lists GPT-6 Luna at ~130 and Haiku 5.5 at ~240 (vendor figures).
  • Scores: GPQA Diamond 89.23, IFBench 76.84, SWE-Bench Atlas 51.08, all above Luna and Haiku 5.5; but DeepSWE v1 at 46.31 trails Haiku 5.5 (51.62), and MRCR v2 also trails Haiku.
  • Scale and context: more than 40x the parameters of Mercury 1, with a 1M-token window (260K on Mercury 2.5).
  • Price: $0.20/M in and $0.70/M out list, 50% off at launch ($0.10/$0.35), cached input 90% off; new API keys get 100M free tokens.
  • Access: Inception API, OpenRouter, Baseten and Vercel AI Gateway, OpenAI-compatible as a drop-in replacement.
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GitHub Copilot updates HydraFusion and adds HydraFusion Max, with Claude Opus 5.5 and the GPT-6 family in its model pool

On 2026-10-14 GitHub updated HydraFusion, Copilot's multi-model orchestration feature, and added HydraFusion Max for harder tasks. The pool now includes Claude Opus 5.5, GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna; effort is tuned per stage (medium for drafts, high for review), Cascade gains a judging step, and Critique now inspects the workspace with tools using parallel critics. Both remain in research preview across VS Code, the Copilot app and Copilot CLI.

Key Takeaways

  • Pool: Claude Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, GPT-6 Luna, chosen per workflow (GitHub Changelog)
  • Per-stage effort: medium for drafts, high for review (previously each model's default)
  • Cascade adds a judge that requests repair only when needed; Critique uses tools on the workspace plus parallel critics
  • Two tiers: HydraFusion (balanced) and HydraFusion Max (deepest reasoning, orchestration still minds tokens)
  • Available in VS Code, Copilot app and Copilot CLI on Pro, Pro+, Business and Enterprise with preview features enabled
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GPT-6 rolls out to all of ChatGPT with Intelligent UI: interactive charts and in-chat tools, Sol for paid tiers and Luna for free

On Oct 7 OpenAI began rolling GPT-6 out globally in ChatGPT together with Intelligent UI: the model decides when to answer with diagrams, interactive charts, forms, tappable buttons or small in-chat tools (calculators, games, bill splitters) instead of plain text. Plus, Pro, Business and Enterprise get it first on GPT-6 Sol; Go and free users follow on Oct 8 on GPT-6 Luna. OpenAI says GPT-6 can stream partial answers while still thinking, cutting wait times by 44%.

Key Takeaways

  • Tiers: Plus / Pro / Business / Enterprise get GPT-6 Sol from Oct 7; Go and free get the more efficient GPT-6 Luna from Oct 8 (OpenAI announcement)
  • Answers while thinking: partial answers stream before reasoning finishes; OpenAI says wait times drop 44% and GPT-6 beat GPT-5.6 on hard web searches in internal tests (The Decoder)
  • Intelligent UI renders diagrams, interactive and editable charts, forms, tappable buttons and on-demand in-chat tools (savings calculator, retro game, bill splitter); users can dial visuals down (TechCrunch)
  • Safety: OpenAI says GPT-6 resists attempts to bypass its safety training better (The Verge)
  • Context: Google shipped a similar generative-interface feature for Gemini in May; ChatGPT now makes it a default for every user
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OpenAI introduces GPT-6 Sol and GPT-6 Luna

OpenAI announced GPT-6 Sol and Luna. They bring much of GPT-6 Astra’s strengths into faster, more affordable models, with API prices 50% lower than GPT-5.6 promotional pricing, and are rolling out in ChatGPT Work, Codex, and the API.

Key Takeaways

  • OpenAI announced GPT-6 Sol and Luna. They bring much of GPT-6 Astra’s strengths into faster, more affordable models, with API prices 50% lower than GPT-5.6 promotional pricing, and are rolling out in ChatGPT Work, Codex, and the API.
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OpenCode adds GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 the same day

Open-source coding agent OpenCode (@opencode) said GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 are now available in OpenCode, wiring the same-day OpenAI and Anthropic launches into an open coding-agent workflow.

Key Takeaways

  • GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 are live in OpenCode.
  • Covers the same-day OpenAI and Anthropic model launches.
  • Same-day access for open-source coding-agent users.
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OpenAI launches GPT-6 Sol & Luna: dual enterprise workhorses cut API pricing by 50% down to $0.10/M

OpenAI introduced GPT-6 Sol and GPT-6 Luna, faster and more affordable models that carry forward much of GPT-6 Astra’s strength for work at scale. Caching and inference efficiency cuts yield 50% lower API prices versus GPT-5.6 promotional pricing: Sol is priced at $2/$10 per million tokens for deep reasoning, while high-volume Luna costs just $0.10/$0.50 per million tokens with a 90% prompt caching discount.

OpenAI launches GPT-6 Sol & Luna: dual enterprise workhorses cut API pricing by 50% down to $0.10/M

Key Takeaways

  • Tiered dual-model architecture: Sol for deep reasoning and complex coding agents, Luna for ultra-high-throughput workflows.
  • 50% price slash: Sol at $2/$10 per million tokens; Luna down to $0.10/$0.50 with 90% prompt caching discount.
  • Available immediately in OpenAI API (gpt-6-sol, gpt-6-luna), ChatGPT Work, and Codex.
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Linked Models & Agents: