Run GLM 5.2 Locally (2026): 2-bit on a 256GB Mac or 4090 box
Run GLM 5.2 (753B) locally: 2-bit fits a 256GB Mac Studio, 4-bit wants 512GB, ~3-9 tok/s. GGUF quant picks for llama.cpp, LM Studio, and a 4090 box.
Routing GLM-5.2, DeepSeek V4, MiniMax M3 & Kimi K2.6 Through One API (2026)
Route 4 models on one ofox key: blended $0.19/M (V4 Flash) to $2.40/M (GLM-5.2), 12.86x spread. 1M context, free V4 cache.
GLM-5.2 vs GPT-5.5 Cost: Per-Token Math at 10K/100K/1M Req/Day (2026)
GLM-5.2 at $1.4/$4.4 per M against GPT-5.5 at $5/$30 — a 5.56x blended ratio. Daily bills at three request volumes, and how to A/B both via ofox.
Self-Host GLM 5.2 (2026): 8×H200 vLLM Cost vs $30/mo Cloud
Self-host GLM 5.2 (753B MIT weights): 8×H200 vLLM FP8, 4×H100 Q4, or Mac Studio 2-bit. Hardware sizing + cloud GPU $/hr breakeven vs Z.ai's $30/mo plan.
Codex Banked Rate-Limit Reset: How the Weekly Reset Works (2026)
What a Codex banked rate-limit reset is, who gets one, and how to spend it when the weekly cap hits 0%. Plus four other ways out, including a metered API.
When Does Codex Reset? Check Your Weekly Limit Reset Time
Codex reset times come from the server as a resetsAt timestamp, not a clock rule. Read yours directly, redeem a reset credit, or move to a metered API.
DeepSeek V3.2 Prompt Caching on ofox: 10-Min Setup, 80% Savings (2026)
DeepSeek V3.2 caching: $0.06/M cache read vs $0.29/M miss (4.8× cheaper), $0.43/M output, 128K context. Set up on ofox in 10 minutes.
How to Access GLM 5.2 (2026): Step-by-Step API Setup & Pricing
GLM 5.2 access step by step: Z.ai API setup, Coding Plan pricing, the six common errors to avoid, plus MIT open weights and ofox alternatives.
MiniMax M3 vs GPT-5.5: SWE-Bench Pro, 8× Price Gap, A/B Both via ofox (2026)
MiniMax M3 (SWE-Bench Pro 59.0%) vs GPT-5.5 (58.6%): same 1M context, $0.60 vs $5 input, $2.40 vs $30 output.
MiniMax M3 vs Claude Opus 4.8: 59% vs 69% SWE-Bench, 10× Pricing, Pick (2026)
MiniMax M3 hits 59% on SWE-Bench Pro vs Claude Opus 4.8 69.2%. M3 input $0.6/M vs Opus $5/M, output $2.4/M vs $25/M, both 1M context.