In autonomous agentic coding, the most expensive mistake is assigning frontier reasoning models to operational plumbing. On…
OpenAI’s GPT-6.1 Sol matches flagship Astra on DeepSWE v1.1 at $0.65 per task—a 7x cost reduction—while cutting autonomous computer-use safety violations from 17.4% to 4.3% and dropping cached input pricing to $0.10/1M tokens.
GPT-6 Luna is free on Freebuff for eligible users. Here’s the five-hour catch, how to check your account, start coding, and protect private code.
OpenAI GPT-6 Luna faces Xiaomi MiMo-V2.6-Pro. Compare 71.9% DeepSWE, $0.10/M tokens, 1.02T open MoE architecture, and enterprise TCO economics.
OpenAI drops GPT-6 Sol at $2/M input with 50% fewer errors, hitting 68.8% on DeepSWE v1.1 to match Claude Fable 5 at 80% lower cost. Full tech breakdown.
OpenAI releases GPT-6 Luna at $0.10/M input and $0.50/M output, scoring 66.6% on DeepSWE to match Claude Opus 5 at 93% lower per-task operational cost.
DeepSeek V5 leaks claim 78.6% DeepSWE and $0.20/M tokens vs Astra’s $50. Forensic benchmark audit, hardware sizing, and enterprise deployment guide.
GPT-6 Astra cracked an unsolved 1918 German ADFGVX cipher using historical monograph search and key transposition in 170 chars. Here is the technical audit.
Leaked GPT-6 Sol generates 72k tokens in 9 mins—3x faster than Astra. Here is why titan-alpha unlocks applied recursive self-improvement without runaway AGI.
Why running autonomous coding agents on GPT-6 Astra leads to 19-minute execution freezes, and how leaked alpha benchmarks of GPT-6 Sol running 6.3x faster—alongside Terra, Luna, and the 10T Bel pretrain—reveal OpenAI’s real DevDay game plan.