# NextVector

> NextVector is an independent AI news site and model data hub. Stories use a three-question format (What happened? Why does it matter? What could happen next?). Model pages carry sourced data: arena.ai text scores, Artificial Analysis indexes (data: Artificial Analysis, https://artificialanalysis.ai), OSWorld-Verified and SWE-bench Verified results, list prices and context windows.

Editorial charter: Less noise. More signal. Sourced benchmarks over marketing claims. Founded and edited by Robiul Hasan (https://rhasan.online). Every story links its primary sources and gets a 1–100 Signal Rating (formula on the About page). NextVector does not run benchmarks itself: model numbers come from public leaderboards and vendor price pages, saved as dated copies. Model data checked 2026-10-11.

## Core Hubs
- [NextVector Home](https://nextvector.rhasan.online/): Latest AI news, newest first, with the lead story on top.
- [AI Models Directory](https://nextvector.rhasan.online/models): 139 tracked AI models with sourced list prices, context windows, licences and arena.ai text scores.
- [Model Showdowns & Comparisons](https://nextvector.rhasan.online/compare): Head-to-head comparisons built from the same data (arena.ai score, list price, context, licence).
- [AI Subscription Buyer's Guide](https://nextvector.rhasan.online/subscriptions): Plain-English guide to ChatGPT Plus, Claude Pro, Google AI Pro, Cursor Pro and the $100-$200 plans, with budget options. Plan prices checked on vendor pages October 12, 2026.
- [Benchmark Leaderboards](https://nextvector.rhasan.online/benchmarks): arena.ai text, the Artificial Analysis Intelligence Index, OSWorld-Verified (computer use), SWE-bench Verified (code, bash-only runs) and a price vs Arena score frontier.
- [AI Breakthrough Timeline](https://nextvector.rhasan.online/timeline): Chronological record of major AI and computing milestones.
- [Daily Intelligence Briefing](https://nextvector.rhasan.online/briefing): A short scan of the day's main AI stories.
- [Research Explained](https://nextvector.rhasan.online/research): Plain-language explanations of research papers.
- [Story Archive](https://nextvector.rhasan.online/archive): Crawlable list of every published story.

## Model Decision Guide (data checked 2026-10-11)
- Highest Arena score (released models): [Gemini 4 Argon](https://nextvector.rhasan.online/models/model-gemini-4-argon) (Google DeepMind): Arena 1525 (±9, #1); list price $2.00 / $10.00 per 1M tokens.
- Best Arena score under $1 blended: [MiMo-V2.6-Pro](https://nextvector.rhasan.online/models/model-mimo-v2-6-pro) (Xiaomi AI): Arena 1480 at $0.54 blended; list price $0.435 / $0.87 per 1M tokens.
- Best Arena score under $0.20 blended: [DeepSeek-V4.1-Flash](https://nextvector.rhasan.online/models/model-deepseek-v4-1-flash) (DeepSeek): Arena 1475 at $0.18 blended; list price $0.010 / $0.684 per 1M tokens.
- Best open-weights model: [Kimi K3](https://nextvector.rhasan.online/models/model-kimi-k3) (Moonshot AI): Arena 1488 · Kimi K3 license; list price $0.339 / $15.00 per 1M tokens.
- Computer use: [Claude Fable 5](https://nextvector.rhasan.online/models/model-claude-fable-5) (Anthropic): OSWorld-Verified 86.0%; list price $10.00 / $50.00 per 1M tokens.
- Coding (shared-harness SWE-bench runs): [Claude Opus 4.5](https://nextvector.rhasan.online/models/model-claude-opus-4-5) (Anthropic): SWE-bench Verified 76.8%; list price $5.00 / $25.00 per 1M tokens.
- Highest Artificial Analysis Intelligence Index: [Claude Opus 5.5](https://nextvector.rhasan.online/models/model-claude-opus-5-5) (Anthropic): AA Intelligence Index 57.6; list price $4.00 / $20.00 per 1M tokens.
- Coding (Artificial Analysis Coding Index): [Claude Fable 5.1](https://nextvector.rhasan.online/models/model-claude-fable-5-1) (Anthropic): AA Coding Index 81.6; list price $10.00 / $50.00 per 1M tokens.
- Agent work (Artificial Analysis Agentic Index): [Claude Fable 5.1](https://nextvector.rhasan.online/models/model-claude-fable-5-1) (Anthropic): AA Agentic Index 57.9; list price $10.00 / $50.00 per 1M tokens.
- Largest context window: [Grok 4.20](https://nextvector.rhasan.online/models/model-grok-4-20) (xAI): 2M tokens · Arena 1475; list price $1.25 / $2.50 per 1M tokens.

## Top Released Models by arena.ai Text Score (data checked 2026-10-11)
- [Gemini 4 Argon](https://nextvector.rhasan.online/models/model-gemini-4-argon) (Google DeepMind): arena.ai text score 1525 ±9 (#1 of 414), $2.00 / $10.00 per 1M tokens (input / output), 1M tokens context.
- [Claude Opus 5.5](https://nextvector.rhasan.online/models/model-claude-opus-5-5) (Anthropic): arena.ai text score 1507 ±8 (#2 of 414), $4.00 / $20.00 per 1M tokens (input / output), 1M tokens context.
- [Claude Opus 4.6](https://nextvector.rhasan.online/models/model-claude-opus-4-6) (Anthropic): arena.ai text score 1504 ±3 (#3 of 414), $5.00 / $25.00 per 1M tokens (input / output), 1M tokens context.
- [Claude Fable 5](https://nextvector.rhasan.online/models/model-claude-fable-5) (Anthropic): arena.ai text score 1504 ±4 (#4 of 414), $10.00 / $50.00 per 1M tokens (input / output), 1M tokens context.
- [Claude Opus 4.7](https://nextvector.rhasan.online/models/model-claude-opus-4-7) (Anthropic): arena.ai text score 1501 ±4 (#5 of 414), $5.00 / $25.00 per 1M tokens (input / output), 1M tokens context.

## Leaderboards (top 3 each)
- [arena.ai text leaderboard (tracked models, real arena.ai rank)](https://nextvector.rhasan.online/benchmarks): #1 [Gemini 4 Argon](https://nextvector.rhasan.online/models/model-gemini-4-argon) 1525 (Oct 2026); #2 [Claude Opus 5.5](https://nextvector.rhasan.online/models/model-claude-opus-5-5) 1507 (Oct 2026); #3 [Claude Opus 4.6](https://nextvector.rhasan.online/models/model-claude-opus-4-6) 1504 (Oct 2026).
- [Artificial Analysis Intelligence Index v4.3 (data: Artificial Analysis, https://artificialanalysis.ai)](https://nextvector.rhasan.online/benchmarks): #1 [Claude Opus 5.5](https://nextvector.rhasan.online/models/model-claude-opus-5-5) 57.6 (Oct 2026); #2 [Claude Sonnet 5.5](https://nextvector.rhasan.online/models/model-claude-sonnet-5-5) 56 (Oct 2026); #3 [Claude Fable 5.1](https://nextvector.rhasan.online/models/model-claude-fable-5-1) 53.4 (Oct 2026).
- [OSWorld-Verified (computer use, success rate)](https://nextvector.rhasan.online/benchmarks): #1 [Claude Fable 5](https://nextvector.rhasan.online/models/model-claude-fable-5) 85.96% (Aug 2026); #2 [Claude Opus 5](https://nextvector.rhasan.online/models/model-claude-opus-5) 83.39% (Aug 2026); #3 Coasty CUA v1 82.81% (Jul 2026).
- [SWE-bench Verified (bash-only runs, % resolved)](https://nextvector.rhasan.online/benchmarks): #1 [Claude Opus 4.5](https://nextvector.rhasan.online/models/model-claude-opus-4-5) 76.8% (Feb 2026); #2 [Gemini 3 Flash](https://nextvector.rhasan.online/models/model-gemini-3-flash) 75.8% (Feb 2026); #3 [MiniMax M2.5](https://nextvector.rhasan.online/models/model-minimax-m2-5) 75.8% (Feb 2026).
- [Price vs Arena score frontier (NextVector calculation over list prices)](https://nextvector.rhasan.online/benchmarks): #1 [Gemini 4 Argon](https://nextvector.rhasan.online/models/model-gemini-4-argon) 1525 ($4.00 / 1M blended, Oct 2026); #2 [Gemini 3.8 Flash](https://nextvector.rhasan.online/models/model-gemini-3-8-flash) 1497 ($1.50 / 1M blended, Oct 2026); #3 [MiMo-V2.6-Pro](https://nextvector.rhasan.online/models/model-mimo-v2-6-pro) 1480 ($0.54 / 1M blended, Oct 2026).

## Model Showdowns
- [Claude vs ChatGPT (Opus 5.5 vs GPT-6 Astra)](https://nextvector.rhasan.online/compare/claude-vs-chatgpt): On the arena.ai text leaderboard, Claude Opus 5.5 scores 1507 (±8, #2) and GPT-6 Astra scores 1475 (±7, #35).
- [Claude Opus 5.5 vs GPT-6.1 Sol](https://nextvector.rhasan.online/compare/opus-vs-gpt-6): On the arena.ai text leaderboard, Claude Opus 5.5 scores 1507 (±8, #2) and GPT-6.1 Sol scores 1484 (±9, #21).
- [Gemini 3.1 Pro vs GPT-6 Astra](https://nextvector.rhasan.online/compare/gemini-vs-chatgpt): On the arena.ai text leaderboard, Gemini 3.1 Pro scores 1487 (±3, #17) and GPT-6 Astra scores 1475 (±7, #35).
- [Claude Opus 5.5 vs Gemini 3.1 Pro](https://nextvector.rhasan.online/compare/claude-vs-gemini): On the arena.ai text leaderboard, Claude Opus 5.5 scores 1507 (±8, #2) and Gemini 3.1 Pro scores 1487 (±3, #17).
- [Grok 4.7 vs GPT-6 Astra](https://nextvector.rhasan.online/compare/grok-vs-chatgpt): On the arena.ai text leaderboard, Grok 4.7 scores 1443 (±7, #90) and GPT-6 Astra scores 1475 (±7, #35).
- [Grok 4.7 vs Claude Opus 5.5](https://nextvector.rhasan.online/compare/grok-vs-claude): On the arena.ai text leaderboard, Grok 4.7 scores 1443 (±7, #90) and Claude Opus 5.5 scores 1507 (±8, #2).
- [DeepSeek-V4.1-Flash vs GPT-6 Sol](https://nextvector.rhasan.online/compare/deepseek-vs-openai): On the arena.ai text leaderboard, DeepSeek-V4.1-Flash scores 1475 (±7, #39) and GPT-6 Sol scores 1456 (±7, #67).
- [DeepSeek-V4-Pro-0813 vs Claude Opus 5.5](https://nextvector.rhasan.online/compare/deepseek-vs-claude): On the arena.ai text leaderboard, DeepSeek-V4-Pro-0813 scores 1465 (±7, #55) and Claude Opus 5.5 scores 1507 (±8, #2).
- [Claude Opus 5.5 vs Claude Sonnet 5.5](https://nextvector.rhasan.online/compare/opus-vs-sonnet): On the arena.ai text leaderboard, Claude Opus 5.5 scores 1507 (±8, #2) and Claude Sonnet 5.5 scores 1476 (±9, #32).
- [Mistral Large 3 vs Qwen3.5-397B-A17B](https://nextvector.rhasan.online/compare/mistral-vs-qwen): On the arena.ai text leaderboard, Mistral Large 3 scores 1414 (±3, #143) and Qwen3.5-397B-A17B scores 1442 (±3, #92).

## Latest Stories
- [Continuum Attention Outperforms Softmax by Integrating Over Piecewise Linear Memory Curves](https://nextvector.rhasan.online/article/continuum-attention-replaces-discrete-kv-with-continuous-integration) (2026-10-15): Paper arXiv:2610.20586 replaces discrete token lookups with exact closed-form exponential moments, cutting validation perplexity at quadratic sequence complexity.
- [Libreboot 26.10 Ships Native UEFI via EDK2 and Imports 233 Chromebook Configurations](https://nextvector.rhasan.online/article/libreboot-26-10-adds-uefi-imports-233-chromebook-boards) (2026-10-15): The 'Ominous Olive' open firmware release enables Windows compatibility, syncs MrChromebox coreboot trees, and introduces strict repository anti-AI scraping rules.
- [Goodfire AI Challenges Superposition Orthodoxy, Arguing Neural Networks Are Monosemantic](https://nextvector.rhasan.online/article/goodfire-ai-challenges-superposition-polysemanticity-theses) (2026-10-15): Researcher Nick Cammarata argues that canonical vision polysemanticity was an artifact of incomplete circuit tracing, finding individual neurons track shared compositional motifs.
- [Anomaly Launches OpenCode 2.0 with Central Daemon and Embedded Codemode Runtime](https://nextvector.rhasan.online/article/opencode-2-overhauls-agentic-developer-infrastructure) (2026-10-15): The open coding harness adds single-round-trip MCP script interpretation, background subagents, and async terminal tasks for developer swarms.
- [Citizen Lab Exposes 'AdFection': Targeted Online Ads Weaponized for Zero-Click Spyware](https://nextvector.rhasan.online/article/citizen-lab-exposes-adfection-zero-click-spyware) (2026-10-15): Investigation reveals how Israeli firm Discover-Tech exploited programmatic ad auctions and dynamic NOAS servers to infect targets with Candiru surveillance malware.

## Editorial Standards
- [About NextVector & Robiul Hasan](https://nextvector.rhasan.online/about): Founder background, editorial principles and the 1–100 Signal Rating formula.
- [Frequently Asked Questions](https://nextvector.rhasan.online/faq): Answers on AI models, where our data comes from and how Signal Ratings work.
- [Contact](https://nextvector.rhasan.online/contact): Editorial contact, corrections and benchmark submissions.

## Machine-Readable Endpoints
- [XML Sitemap](https://nextvector.rhasan.online/sitemap.xml): Every published story, model and hub page.
- [RSS 2.0 Feed](https://nextvector.rhasan.online/rss.xml): The 60 newest stories.
- [Full Text for LLMs](https://nextvector.rhasan.online/llms-full.txt): Every story in full plus the complete model directory with sources.
- [Machine AI Summary](https://nextvector.rhasan.online/ai-summary.json): Site facts, endpoints and current model picks as JSON.