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State of Open-Source Local LLMs — September 2026: Two Frontier MoEs Reach the Mac Studio
Qwen3.8-27B takes #1 as predicted. GLM-5.3-Flash — the Ox Alpha model — ships MIT with a 120 GB 3-bit; the GLM-5.3 flagship opens under a custom license; Qwen3.8-Flash-Next previews Qwen4 at 6B active; DeepSeek opens V4 Flash Vision. And the index recalibrates its MoE speed estimates, with one published figure corrected in the open.
GLM-5.3-Flash on a Mac: Which Studio Runs the Ox Alpha Model
MIT weights, 18B active, and a 3-bit quant that just fits 128 GB. Every Unsloth quant mapped to the Mac that holds it, estimated tok/s per chip, and the llama.cpp branch you need today.
Qwen3.8-Flash-Next on a Mac: 6B Active, 112 GB, and the License Clause to Read First
The Qwen4 architecture preview is the fastest capable model at the 128 GB tier — ~49 tok/s est. on M5 Max — but its 4-bit is 112 GB, not 60, and its license gates coding-assistant products. What that means before you download.
Apple’s New Mac mini and Mac Studio: What M6 and M5 Ultra Mean for Local LLMs
Apple refreshed the desktops by press release this morning: the 2nm M6 mini from $899, a 307 GB/s M5 Pro mini, and the quad-die M5 Ultra — 1.2 TB/s with up to 512 GB unified memory. Estimated speeds for every machine, the bandwidth bins Apple only prints in the spec table, and what to buy at each budget. Ships 22 September.
M5 Ultra Mac Studio: 1.2 TB/s and 512 GB, Examined
50% more bandwidth than M3 Ultra on the big-model tier: DeepSeek V4 Flash at ~47 tok/s estimated, the 405B stress test at ~4 — and why 256 GB is the config that actually matters.
The $899 M6 Mac mini as a Local-AI Machine
The bin trap nobody mentions: 153 GB/s on 16 GB configs, 170 above. What each config actually runs, estimated speeds for ten models, and when the M5 Pro mini is the smarter $800.
GLM 5.2: The Open Model That Beats GPT-5 and Claude on SWE-Bench
Zhipu AI's GLM 5.2 was the first open-weights model past 68% on SWE-Bench Pro — MIT licensed, 744B-A40B MoE, with a 106B Air distillation that runs on a 64 GB Mac at ~30 tok/s.
UI-Mate on Mac: RAM, Speed and Setup for Tencent’s Open Computer-Use Agent
Apache 2.0, fine-tuned from Qwen3.6-27B, and it drives your mouse and keyboard. The 4-bit build is 17.5 GB and it holds five screenshots in context — so a 24 GB Mac has 0.3 GB of headroom, and 32 GB is the real floor.
State of Open-Source Local LLMs — August 2026
The frontier came to the Mac: Meta's Apache-2.0 Muse Glimmer 30B, DeepSeek V4 Flash on 128GB Macs, Qwen3.8's open weights — plus the full LLMCheck provenance audit and a complete refit of the speed model.
Apple Silicon Memory Bandwidth & LLM Speed (2026): M1–M5, Pro, Max, Ultra
Why memory bandwidth is the #1 factor in local LLM tokens-per-second on a Mac. Full GB/s table for every Apple Silicon chip (M1–M5, Pro/Max/Ultra) and how to estimate tok/s from bandwidth and model size.
Qwen 3.8: What Actually Shipped (and What It Means for Macs)
Qwen 3.8 is here — but not how the rumors said. Qwen3.8-Max hosted GA, 2.4T-A95B open weights under a new revenue-threshold license, a 27B still unreleased, and what Mac users should actually run today: Qwen3.6-27B and 35B-A3B.
Mac Studio M4 Max vs MacBook Pro M5 Max for Local LLMs (2026)
Mac Studio M4 Max vs MacBook Pro M5 Max for running local AI — desktop value vs portable power. Memory bandwidth, sustained tok/s, thermals, price, and which to buy for local LLMs.
M4 vs M5 for Local LLMs: Is the New Apple Silicon Worth It?
M4 vs M5 Apple Silicon for local AI — what the M5's Neural Accelerators and higher bandwidth actually mean for tokens-per-second. Real benchmark deltas across M4/M5, Pro, and Max, and whether to upgrade.
State of Open-Source Local LLMs — July 2026 (Corrected Edition)
Corrected July 2026 open-source LLM report: GLM 5.2's harness-checked frontier lead, Thinking Machines' Inkling debut, Kimi K3's record 2.8T open weights, DeepSeek V4-Flash on 128 GB Macs, and the on-device ternary wave. Apple Silicon guidance with labeled provenance.
GLM 5.2 vs DeepSeek V4: The Real Open-Frontier Showdown
GLM 5.2 (753B, MIT) vs DeepSeek V4-Flash and V4 Pro — harness-annotated scores, license reality, and which open-frontier giant a Mac can actually run. Corrected: 'DeepSeek R3' never existed; the real DeepSeek line is R1 → V3.2 → V4.
GLM-4.5-Air on a Mac — and What Happened to "GLM 5.2 Air"
No 'GLM 5.2 Air' exists — the real Mac-runnable GLM with those specs is GLM-4.5-Air: 106B-A12B MoE, MIT licensed, ~30 tok/s (estimated) on a 64 GB Mac. Corrected setup guide, hardware requirements, and the newer GLM-4.7-Flash option.
GLM 5.2 vs Qwen3.8-Max vs Kimi K3: The Open Frontier Three-Way (August 2026)
GLM 5.2 (753B, MIT), Qwen3.8-Max / Qwen3.8-2.4T-A95B (custom revenue-threshold license), and Kimi K3 (2.8T MoE, Kimi K3 License) compared: harness-annotated scores, license fine print, and the Mac reality for each. Corrected: 'Qwen 4.1' and 'Llama 5 405B' never shipped.
'Qwen 4' vs Reality: The Actual Qwen Roadmap (3.6 → 3.8)
There is no open-weight 'Qwen 4' or 'Qwen 4.1'. The real Qwen line runs 3.5 → 3.6 → 3.8. What Alibaba actually shipped in 2026, and which Qwen to run on your Mac.
Phi-5 Doesn't Exist: Phi-4 Is Still Microsoft's Local Line (and What Beats It)
There is no Phi-5 — Microsoft's local model line still tops out at Phi-4. What happened, where Phi-4 14B still fits, and what actually leads the 24-32 GB Mac tier in August 2026: Qwen3.6-27B, Muse Glimmer 30B, and Nemotron 3.5 Lightning.
Llama 5 Still Isn't Out — Meta's Real 2026 Release Is Muse Glimmer 30B (August 2026)
Llama 5 has not shipped — Meta's next Llama is expected in 2027. Meta's actual August 2026 open release is Muse Glimmer 30B: Apache 2.0, multimodal, agentic, and Mac-friendly. Full review with benchmarks and Apple Silicon numbers.
State of Open-Source Local LLMs — June 2026
June 2026 open-source LLM report: Qwen 4 graduates from Preview to score 75, Meta ships Llama 5 70B, Mistral Voyage Pro 70B lands, xAI open-weights Grok 4, Phi-5 Medium tops the 14B tier. Full Mac benchmarks.
Qwen 4 Coder: Why You Can't Download It — and the Real Coding Qwens
'Qwen 4 Coder' was never released — no weights exist. The verified coding models for Macs: Qwen3.6-27B (77.2% SWE-bench Verified), Qwen3-Coder-Next 80B-A3B, and KAT-Coder-V2.5 for 24–64GB machines.
Best 70B-Class Local Models (That Actually Exist): Llama 3.3 vs Hermes 4 vs Apertus 1.5
'Llama 5 70B' and 'Mistral Voyage Pro 70B' never shipped. The real 70B-class picks for a 64GB+ Mac: Llama 3.3 70B, Hermes 4 70B, and Apertus 1.5 70B — compared on capability, license, and estimated Apple Silicon speed.
State of Open-Source Local LLMs — May 2026
May 2026 open-source LLM report: Qwen 4 Preview leads with score 73, Llama 5 launches, Phi-5 Mini rules 8 GB Macs, DeepSeek R2 enters frontier reasoning. Complete benchmarks for Apple Silicon.
The Open Frontier, August 2026: Qwen3.8-Max vs Kimi K3 vs Inkling
The open-model frontier in August 2026: Qwen3.8's 2.4T open weights, Moonshot's 2.8T Kimi K3, and Thinking Machines' Inkling compared — benchmarks, licenses, and why none of them runs on a Mac (plus the Mac-class siblings that do).
DeepSeek V4 Pro vs Kimi K2.6: Best Open-Source Coding LLM in 2026
DeepSeek V4 Pro vs Kimi K2.6 Thinking — the top open coding models of 2026 compared on SWE-Bench, agentic coding, context, and license. Updated for V4 Pro's August 2026 GA (GA weights unpublished; April preview weights remain MIT).
Best Small LLMs for an 8GB Mac (August 2026)
The best small LLMs for an 8GB Mac in August 2026: LFM2.5-2.6B (vendor-reported 220 tok/s), ternary Maple Preview 20B-A1B and Bonsai 27B, Nanbeige4.2-3B, plus incumbents Phi-4 Mini and Gemma 4 E2B/E4B. Note: 'Phi-5 Mini', previously reviewed here, never shipped.
There Is No DeepSeek R2 — The Real DeepSeek Path for Macs
DeepSeek R2 never existed. The real line runs R1 → V3.2 → V4 — and the Mac story is DeepSeek V4-Flash: a 96.5GB 2-bit MLX build that fits a 128GB Mac at ~39 tok/s (community-reported, M5 Max).
Qwen 3.6-35B-A3B on Mac: The New #1 Local LLM for Coding
Qwen 3.6 35B-A3B scores 73.4% on SWE-bench Verified, earns LLMCheck Score 69, and runs on a 24GB Mac. Full benchmarks, setup guide, and Apple Silicon performance data.
M5 Pro vs M5 Max for Local LLM: Which MacBook Pro to Buy?
M5 Pro vs M5 Max for local AI — the Max is 2.2x faster and supports 70B models. LLMCheck benchmark data shows the hard RAM ceiling at 64GB that limits M5 Pro users.
M4 Max vs M3 Max for Local LLM: Is the Upgrade Worth It?
M4 Max vs M3 Max for local AI — is upgrading worth $400–600 more? The LLMCheck index shows ~35% faster tok/s on identical models. Full spec comparison and verdict.
Qwen 3.6 vs Gemma 4: Deep Technical Comparison for Mac
Qwen 3.6-35B-A3B vs every Gemma 4 variant — architecture, MoE design, SWE-bench, HumanEval, tok/s on M4/M5, RAM, quantization, context windows, function calling, and multimodal. Data-driven verdict from LLMCheck benchmarks.
GLM-5.1: The First Open Model to Beat Claude on SWE-Bench Pro
GLM-5.1 from Z.ai (formerly Zhipu AI) scores 58.4% on SWE-Bench Pro, surpassing Claude Opus 4.6. A 744B MoE model with MIT license, 256 experts, and trained entirely on Huawei Ascend chips.
How to Run Google Gemma 4 on Mac: Complete Setup Guide & Benchmarks
How to run Google Gemma 4 on Mac. Four variants from 2B to 31B parameters with Apache 2.0 licensing, 256K context, day-one MLX support, and multimodal input. Step-by-step Ollama setup and benchmark results.
Gemma 4 vs Qwen 3.5: Which Is the Best Local LLM for Mac in 2026?
Gemma 4 vs Qwen 3.5 head-to-head comparison on Apple Silicon. Benchmark data for tok/s, capability scores, RAM usage, multimodal support, and function calling across all model sizes.
Gemma 4 E2B & E4B: Run Google's AI on iPhone, iPad & Mac Mini
Gemma 4 E2B (2.3B params) and E4B (4B params) bring multimodal AI with audio, vision, and function calling to iPhone, iPad, and Mac Mini. Benchmarks, RAM requirements, and deployment guide.
Gemma 4 Hardware Requirements: RAM, M5 Chips & Apple Silicon Performance Guide
Gemma 4 hardware requirements for every Apple Silicon Mac. RAM needs from 1.5 GB (E2B) to 20 GB (31B) at INT4, tok/s benchmarks across M1 through M5 Ultra, and which Mac to buy for each Gemma 4 variant.
Best Local LLM for Coding on Mac in 2026
The best local AI models for coding on Mac ranked by SWE-Bench scores, speed, and RAM. Qwen3-Coder-Next leads at 70.6% with Qwen 3.5 35B and Phi-4 Mini as lighter alternatives.
How Much RAM Do You Need to Run AI Locally on Mac?
RAM requirements for running local AI on Mac explained. 8 GB runs basic models, 16 GB runs strong 9B models, 32 GB handles MoE models, and 64 GB+ runs 70B frontier models. Complete guide with tok/s benchmarks.
Running AI Without Internet: Complete Offline LLM Guide for Mac
How to run AI completely offline on your Mac. Download models once, then use them anywhere — planes, secure facilities, or areas without internet. Step-by-step guide with Ollama and LM Studio.
Llama 4 Scout on Mac: Setup Guide, Benchmarks & Performance
How to run Meta's Llama 4 Scout on Mac. 109B MoE model with 17B active parameters runs at ~32 tok/s on 64 GB Macs with a 10M token context window. Step-by-step Ollama setup and benchmark results.
DeepSeek R1 vs Claude: Local vs Cloud AI for Developers
DeepSeek R1 running locally on Mac vs Claude in the cloud. A developer-focused comparison of reasoning quality, coding ability, privacy, cost, and speed with benchmark data.
Apple Silicon Neural Engine Explained: How Your Mac Runs AI
How Apple Silicon's Neural Engine, Unified Memory, and Metal GPU work together to run local AI. A technical explainer covering M1 through M5 architecture with performance data from LLMCheck benchmarks.
MoE vs Dense LLMs Explained: Why It Matters for Your Mac
MoE vs dense LLMs explained simply. Why Qwen 3 30B-A3B runs at 58 tok/s on 24GB Mac while a dense 30B needs 64GB. Expert routing, memory efficiency, and the future of local AI.
Llama 4 Scout & Maverick: Can You Run Meta's New AI on Your Mac?
Llama 4 Scout runs on a 64GB Mac at ~32 tok/s. Maverick is server-only. We break down Meta's MoE architecture, multimodal features, and how to install Llama 4 locally with Ollama.
DeepSeek V3.2 vs GPT-5: Open Source Catches Up to Frontier AI
DeepSeek V3.2 scores 96% on AIME vs GPT-5's 94.6%. We compare benchmarks, architecture, licensing, and what this means for the open-source AI ecosystem in 2026.
M5 Max for Local AI: Complete Apple Silicon Benchmark Guide (2026)
M5 Max delivers ~28% higher tok/s than M4 Max for local LLMs. Complete benchmark guide covering 600 GB/s bandwidth, 128GB unified memory, MLX performance, and model recommendations per M5 variant.
Qwen3-Coder-Next: Alibaba's Coding AI That Runs on Your Mac
Qwen3-Coder-Next scores 70.6% SWE-Bench with 80B MoE (3B active). Runs on 64GB Mac at ~12 tok/s. Full review, installation guide, and comparison with DeepSeek R1 for coding.
7 Best Free Apps to Run AI Locally on Mac (2026 Guide)
The 7 best free apps to run AI locally on Mac in 2026: LM Studio, Ollama, Jan, Open WebUI, MLX, GPT4All, and Enchanted. Pros, cons, and install steps for each.
The Ultimate Interface Showdown: LM Studio vs Ollama for Mac (2026)
LM Studio vs Ollama for Mac in 2026 — which local LLM app is right for you? We compare setup, RAM usage, UI, and developer features to help you choose the best tool for your workflow.
M5 Max MacBook Pro vs. M4 Max Mac Studio: The Local LLM Showdown
M5 Max vs M4 Max for local AI — which Apple Silicon chip wins for running LLMs? A spec-by-spec breakdown of architecture, thermals, and real-world model recommendations.
Qwen 3.5 is Here: The Best Local LLM for Mac Just Changed Everything
Qwen 3.5 is the new best local LLM for Mac. Discover which model runs on your Apple Silicon hardware — from 8 GB to 128 GB+ — and how to install it with Ollama in minutes.
Which Local LLM for Mac? The Ultimate Hardware & Specs Guide
Wondering "which LLM to run on my hardware?" Discover the best Local LLM for Mac based on your specs, RAM, and Apple Silicon chip in our ultimate guide.