A collection of 56 posts
GLM-5.3-Flash is 320B-A18B, multimodal and roughly 9x cheaper than GLM-5.2's 744B-A40B. A verified head-to-head on specs, benchmarks, cost and self-hosting — plus the cases where GLM-5.2 still wins.
Z.ai's GLM-5.3-Flash is the model that ran anonymously as Ox Alpha: a 320B-total, 18B-active natively multimodal MoE with a 1M-token context and MIT open weights. Here are the verified specs, pricing and benchmarks.
Ox Alpha was Z.ai's GLM-5.3-Flash, confirmed on 26 August 2026. The free stealth preview has ended and the OpenRouter listing is gone. Verified specs, MIT-licensed weights, real pricing, and how to use the model now.
Verified Grok 4.6 API and subscription pricing as of 23 August 2026 - the $2/$6 token rates, the 200K long-context cliff, per-call tool fees, and worked cost examples.
Claude Opus 5 leads on independently verified coding benchmarks; Kimi K3 costs 40% less and ships open weights. A head-to-head on benchmarks, cost, context, openness and speed — with an explicit decision rule.
Kimi K3 costs $3 per 1M input tokens, $0.30 on a cache hit, and $15 per 1M output — flat across the full 1M-token context. Here are the verified rates, the rate-limit tiers, three worked cost examples, and how it prices against Claude Opus 5, GPT-5.6 and DeepSeek.
The 17GB Apache-2.0 model scoring 52 on Artificial Analysis: which benchmark numbers to trust, the overthinking fix, VRAM needs, and how it compares to Claude and the 2.4T flagship.
Run Qwen3.8-27B on your own GPU: Ollama one-liner, LM Studio, llama.cpp with MTP speculative decoding, VRAM tables, tested 16GB/24GB/Mac configs, and the overthinking fix.
The config.json diff between Qwen 3.8-27B and Qwen 3.6-27B is empty — same layers, same hidden size, same vocab. Every gain came from post-training. Here's what actually changed, what the upgrade costs you, and who should stay on 3.6.
The most cost-efficient near-frontier AI models in 2026, ranked by blended cost-per-task. DeepSeek V4-Flash leads at ~$0.06/M — 36-89x cheaper than the flagships. Master pricing table + a real monthly-bill breakdown.
Qwen 3.7 Flash ($0.03/$0.13) vs DeepSeek V4-Flash ($0.14/$0.28): which budget open-weight-tier coding model is actually cheapest, with a worked monthly bill and honest caveats.
DeepSeek V4 is 3.5-6x cheaper per token than Kimi K3 after the August 2026 price change. A cost-per-task comparison of two open-weight giants: pricing table, worked monthly bill, and exactly when K3's native vision and front-end coding earn the premium.
DeepSeek V4-Flash costs $0.14/$0.28 vs Claude Opus 5 at $5/$25 - 36x cheaper input and 89x cheaper output today, and 18x/29x blended once DeepSeek's August 16 price rise lands. Worked monthly bills, benchmarks, and how to route bulk work cheap.
DeepSeek V4-Flash costs ~5x less input and ~16x less output than Gemini 3.5 Flash. Full pricing table, a worked monthly bill, and an honest look at where Gemini's multimodal premium is worth paying.
DeepSeek V4 vs GPT-5.6 on cost after DeepSeek's Aug 16 price rise — blended multipliers, full pricing tables, a worked monthly bill, and honest verdicts.
DeepSeek V4-Flash costs $0.14 per million tokens — 36x cheaper than Claude Opus 5. A full cost comparison against GPT-5.6, Kimi K3 and Gemini 3.5, with real monthly-bill math.
Claude Opus 5 launched at the same price as Opus 4.8 but posts a full generation of gains: 79.2% on SWE-bench Pro, double the agentic coding, a new effort toggle, and stronger safety. Here's what changed and why the upgrade is low-risk.
Claude Opus 5 landed July 24, 2026 as Anthropic's near-frontier default. A task-by-task guide to choosing between Sonnet 5 and Opus 5 by workload and budget, with real benchmarks, pricing, and a which-to-pick decision list.
Claude Opus 5 comes close to Fable 5's frontier intelligence at half the input price ($5 vs $10). Here's the benchmark head-to-head, the pricing breakdown, and exactly when Fable 5 is still the right call for long-horizon autonomous agents.
A hands-on guide to running Claude Opus 5 in Claude Code: how to select claude-opus-5, when to use fast mode, how effort levels work, self-verification in agent loops, and the 1M context for large repos.
A complete benchmark reference for Claude Opus 5: what Frontier-Bench, ARC-AGI-3, GDPval-AA v2, SWE-bench Pro, CursorBench, AutomationBench and OSWorld measure, Opus 5's exact score on each, the comparison models, and why capability per dollar is the real story.
Claude Opus 5 lands at $5 input / $25 output per million tokens, same as Opus 4.8 and half of Fable 5. The real cost lever is the new low/medium/high effort toggle. Here's a full pricing table, a worked cost example, and a routing strategy that can cut your AI bill ~40%.
Claude Opus 5 vs GPT-5.6 Sol, head-to-head on the public numbers: Frontier-Bench 43.3 vs 34.4, ARC-AGI-3 30.2 vs 7.8, GDPval-AA v2 1,861 vs 1,736. Benchmarks, pricing, and the honest switching-cost caveat.
Anthropic's Claude Opus 5 brings near-frontier intelligence at half the price, a low/medium/high effort toggle, and record coding benchmarks. Here's the full breakdown.
Muse Spark is Meta's first proprietary, closed model — built by Meta Superintelligence Labs. What it is, the 1.1 paid API, benchmarks, pricing, and how it compares.