Desk · Labs & reverse engineering

Research

Technical deep dives, reproducible tests, and tool evaluations.

Articles: 177
Topics: 20
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Data graphic: Astra vs Fable vs Opus. GPT-6 Astra $10 / $50; Claude Fable 5.1 $10 / $50; Claude Opus 5.5 $4 / $20

GPT-6 Astra vs Claude Fable 5.1 vs Opus 5.5 for Coding: Benchmarks and Real Cost

Opus 5.5 lists at $4/$20, Astra and Fable 5.1 at $10/$50. We compare cost per completed task, sourced benchmarks, speed, context and caching.

Sep 24 · 15 min

Data graphic: Claude Pro vs Max. Pro $20 / mo; Max 5x $100 / mo; Max 20x $200 / mo; Opus 5.5 API $4 / $20; Weekly cap +25%; One shared pool Chat + Code

watchResearch Claude Code

Claude Pro vs Max for Claude Code: Is $20 Enough After Opus 5.5?

Opus 5.5 is now Claude Code's default on Pro. What a $20 plan's 5-hour window really covers, where it runs dry, and when Max 5x or 20x pays off.

Sep 24 · 15 min

Hub diagram of Codex limits by ChatGPT plan: Free/Go Luna only, Plus and Business 5-45 Astra, Pro 5x 25-225, Pro 20x 100-900 per 5h

watchResearch Codex Usage Limits

Codex and GPT-6 Usage Limits by ChatGPT Plan: Go vs Plus vs Business vs Pro (2026) [UPDATED]

Every ChatGPT plan's Codex allowance in one table: GPT-6 Astra, Sol and Luna messages per five hours, GPT-6 Pro weekly caps, resets and what to do at the limit.

Sep 24 · 17 min

ThreatFrontier data poster: GPT-6 lineup with Astra at $10/$50, Sol at $2/$10 and Luna at $0.10/$0.50 per million tokens, a 50% price cut from GPT-5.6 Sol, Sol DeepSWE 68.8%, 1.05M-token context, released Sep 3 and Sep 22 2026.

watchResearch Gpt 6

GPT-6 Launches With Near-Frontier Intelligence at Half the Price

GPT-6 Sol and Luna halve OpenAI's API prices yet score near rival flagships on coding, while flagship Astra is OpenAI's first Critical-rated cyber model.

Sep 23 · 8 min

Data graphic: Alibaba's Qwen 4 is in training, and its Apsara 2026 roadmap targets 5–10T parameters for Qwen 4.5 and Qwen 5, drawn to scale against today's Qwen3.8-Max at 2.4T total 95B active, about 25:1 and Qwen3.8-Flash-Next at about 176B about 6B active, about 29:1 , which puts the 10T target at roughly 4x Max. The Zhenwu V900 chip brings 216 GB on-package memory and 1,200 GB/s inter-chip bandwidth, with mass production in Q1 2027, and Alibaba Cloud aims to pass 20 GW of capacity by 2032. Qwen 4's size is not disclosed.

watchResearch Qwen 4

Alibaba Confirms Qwen 4 in Training as Apsara Roadmap Targets 10T Parameters

Alibaba confirmed Qwen 4 is in training at Apsara 2026, with Qwen 4.5 and Qwen 5 targeting 5-10T parameters and the Zhenwu V900 chip due Q1 2027.

Sep 22 · 6 min

Data poster headed CYBERGYM CEILING BROKEN for Xiaomi MiMo-V2.6, with a stat rail showing CyberGym Pro 94.0, CyberGym Flash 95.1, ExploitBench Pro 47.9, licence MIT, context 1M, beside a node diagram linking MiMo-V2.6-Pro 1.02T, MiMo-V2.6-Flash 309B, open weights, no API gate and 7000 RL environments.

elevatedResearch Mimo V2 6

Xiaomi's MiMo-V2.6 Breaks the CyberGym Ceiling and Ships MIT Weights the Same Day

Xiaomi's MiMo-V2.6 clears CyberGym at 94.0 under an MIT licence, but ExploitBench at 47.9 shows the audit-to-exploit gap is still wide open.

Sep 22 · 7 min

watchResearch Vllm Vs Sglang

vLLM vs. SGLang in 2026: Benchmarking RadixAttention vs. PagedAttention for Local Agents & RAG

In agentic workflows, prefill latency and prefix caching matter more than raw tok/s. We benchmark SGLang RadixAttention vs vLLM PagedAttention and APC.

Sep 19 · 10 min

watchResearch Apple Silicon

Mac Studio (M4/M5 Ultra 128GB–256GB) vs. Dual RTX 5090 (64GB): The $6,000 Local LLM Workstation Shootout

Choosing a $6,000 local AI workstation: Apple Silicon Unified Memory (128GB-256GB) vs Dual RTX 5090 (64GB). Sizing 70B/236B MoE models, TTFT, and TCO.

Sep 19 · 9 min