Local AI on Apple Silicon

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72 articles

  1. DeepSeek V4.1 Flash 1017: Coding Gains, API Costs, and Agent Setup

    DeepSeek V4.1 Flash 1017 launched on October 17, 2026. Compare its reported coding gains, official US-dollar API rates, cache economics, and agent-integration pitfalls.

  2. Meta Muse Wonder: Pricing, Benchmarks, API Access and Mac Setup

    What Meta Muse Wonder really costs: the API, OpenRouter access, independent scores, 1M context, Wonder Full, privacy and Mac workflows.

  3. Google Gemini Agent at Work 2026: Features, Pricing and Availability

    Google Gemini Agent at Work 2026: enterprise private preview, model routing with Claude, coworker agents, pricing limits and what Mac users can actually access.

  4. Claude Opus 4.8 on Mac: Legacy API vs Opus 5.5

    Opus 4.8 vs. Opus 5.5 on Mac: verified US API prices, cache accounting, breaking agent migration changes, and executable test protocol.

  5. GLM-5.2 on Mac: Z.ai vs OpenRouter Pricing and Limits

    GLM-5.2 has MIT-licensed weights and 1M context. Compare direct Z.ai rates, changing OpenRouter pricing, and practical Mac deployment limits.

  6. Claude Haiku 5.5: pricing, benchmarks and 1M context

    Claude Haiku 5.5 launched on October 7, 2026. Verified API pricing, 1M context, migration changes, benchmark context and a comparison with Haiku 4.5.

  7. Google Gemini Pricing 2026: U.S. Plus, Pro, Ultra and API Costs

    Current U.S. Gemini pricing for AI Plus, AI Pro and AI Ultra, the 2026 student offer, October model-access changes and Gemini API token rates.

  8. Mistral Large 4: 1.05T Parameters – Can Le Chonk Fit on a Mac?

    Mistral Large 4 preview checked against conflicting official 49B vs 52B active-parameter counts, 1.05T storage, 1M context and temporary API sale pricing.

  9. Reflection AI Beam: 501B Open-Weight Model, Benchmarks, Availability, and Mac Feasibility

    Reflection AI Beam: 501B total parameters, 23B active, benchmarks, 1M effective context, release status, API caveats and theoretical Mac feasibility.

  10. DeepSeek Harness Explained: What It Is, What You Get, and What You Need

    DeepSeek Harness is an open agent runtime with interchangeable models, tools, MCP, subagents and scheduling. Here is what it includes, costs and requires.

  11. Gemini 4 Argon: 1M Output, $2/$10 Pricing & Benchmarks

    Google confirms 1M output tokens, $2/$10 introductory pricing and new DeepMind benchmarks for Gemini 4 Argon. The 2M context leak remains unconfirmed.

  12. OpenAI DevDay 2026: Dots, GPT-6.1 Sol, Pro 500 & 25 Launches

    OpenAI DevDay 2026: GPT-6.1 Sol, Dots rollout including EEA restrictions, Pro 500 and what changed with GPT-6 Chat on October 7.

  13. Claude Sonnet 5.5: Pricing, Benchmarks, API IDs and Migration Changes

    Claude Sonnet 5.5 analyzed: $2/$10 API pricing, 1M context window, current benchmarks, provider model IDs and breaking changes from Sonnet 5.

  14. MiniMax M3.1 Flash Preview: 1M Context, Reasoning and Current Status

    MiniMax M3.1 Flash Preview on Mac: Hermes M Plan quotas, OpenAI and Anthropic API code, 1M context, thinking behavior and local limits.

  15. TypeSafe Jev Router: How `typesafe/jev-router` Chooses Models, Reasoning and Cache Trade-offs

    A source-checked guide to Jev Router: 1M context, model and reasoning routing, cache-aware switching, OpenRouter API setup, ZDR, benchmarks and limitations.

  16. Claude Opus 5.5: Pricing, Benchmarks, API, and What Actually Changed

    Claude Opus 5.5 pricing, benchmarks, API model ID, safety changes and original cost calculations versus Opus 5.

  17. GPT-6 Sol vs Luna: Pricing, Pro Mode, Batch and Every Difference

    GPT-6 Sol vs Luna: API pricing, 1.05M context, Pro reasoning, Batch discounts, cache costs and the eight visible variants explained.

  18. Grok 4.7: pricing, benchmarks, 500k context and API details checked

    Grok 4.7 fact check: release, 500k context, API pricing from $2/M input, long-context surcharge above 200k tokens, benchmarks and independent measurements.

  19. Xiaomi MiMo-V2.6: Pro, Flash and UltraSpeed fact check

    Xiaomi MiMo-V2.6 Pro, Flash and UltraSpeed: correct API cost calculations, cache rates, 1M context and Responses API limits.

  20. Ternary Bonsai 2 27B fact check: 5.9 GB, 262K context, and the runtime catch

    Ternary Bonsai 2 27B: 5.95 GB GGUF needs PrismML's fork, MLX requires a bundled loader, and Mac RAM and vision limits need checking.

  21. Pareto 26.9 vs 26.10 Preview: Prices, API and Mac Use

    Pareto 26.9 combines several LLMs behind one API. A source-checked guide to pricing, benchmarks, privacy, OpenRouter and Mac usage.

  22. DeepSeek V4.1 Flash: API Price, 1M Context, Vision and Mac Reality

    DeepSeek V4.1 Flash has 1M context, native vision, a 552B MoE backbone and very low API prices. Current V4 Pro status, Mac limits and open weights.

  23. GPT-6 Astra 2026: API Price, 1.05M Context and ChatGPT Access

    GPT-6 Astra costs $10/$50 per 1M tokens, has a 1.05M context window and 128K output. Current API, ChatGPT, Codex and Mac details.

  24. Claude Fable 5.1 on Mac: Pricing, Benchmarks and API Changes

    Claude Fable 5.1 in October 2026: $10/$50 API pricing, $0.25 cache reads, Opus 5.5 and Sonnet 5.5 comparison, breaking API changes, and OpenRouter on Mac.

  25. Gemini 3.8 Flash: pricing, API limits, benchmarks and 3.7 migration

    Gemini 3.8 Flash costs $0.75 per 1M input and $3.75 per 1M output tokens through Dec 31, 2026, then $1.50/$7.50. 1M context, limits, benchmarks.

  26. Muse Spark 1.3 reviewed: benchmarks, pricing, API availability, and what changed from 1.2

    Muse Spark 1.3: Meta Standard/Contributor pricing, cache rates, max reasoning, API limits and vendor benchmarks fact-checked.

  27. Qwen3.8-Flash Explained: Pricing, 1M Context, Benchmarks, and Flash-Next

    A source-checked guide to Qwen3.8-Flash pricing, its 1M context window, API features, benchmarks, and the separate Flash-Next open-weight release.

  28. Tencent Hy4 Preview: US API Routing, 770B, Context & Costs

    Tencent Hy4 Preview for U.S. developers: 131K vs 64K output-token provider limits, USD routing prices, Chinese Tencent Cloud billing, Apache 2.0 and Mac memory.

  29. GLM-5.3: API pricing, open weights and what a Mac needs

    GLM-5.3 on Mac: confirmed Z.ai API pricing, normal API vs Coding Plan, 753B weights, 217GB GGUF and realistic memory limits.

  30. DeepSeek V4 Pro 0813: Pricing, Benchmarks and the Mac Reality Check

    DeepSeek V4 Pro 0813 versus V4.1 Flash in October: U.S. API rates, cache billing, model aliases, original agent benchmarks, and Mac limits.

  31. Grok 4.6 on Mac: API Pricing, 500K Context and the Desktop App

    Grok 4.6 launch facts: confirmed API rates ($2/M input, $6/M output), 500K context, the macOS app, and what xAI has not disclosed yet.

  32. Qwen3.8-27B on Mac: MLX setup, memory and benchmarks

    Qwen3.8-27B landed August 14, 2026 as an official open-weight checkpoint. Metadata, MLX/GGUF ecosystem, Mac memory math and remaining benchmark gaps.

  33. Gemini 3.7 Flash on Mac: API Price and Migration to 3.8

    Gemini 3.7 Flash deprecated October 8: 3.8 routing, current rates, working API examples and historical benchmarks on Mac.

  34. Meta Muse Glimmer 30B fact-checked: 24/32 GB, DFlash, Qwen3.6-27B

    Muse Glimmer 30B checked: 24/32 GB hardware, DFlash speed, 131K context, Ollama/MLX and independent benchmarks against Qwen3.6-27B.

  35. NVIDIA Nemotron 3.5 Lightning: 30B agent model, 1M context, RTX & Mac

    NVIDIA Nemotron 3.5 Lightning: 30B MoE with 3B active, up to 1M context, $0.05/$0.20 per 1M tokens on OpenRouter, about 670 tok/s on NVFP4.

  36. MiniMax H3 on Mac: US Weights License, API Prices & H3-Max

    MiniMax H3 in the United States: open-weight license excludes US self-hosting; official global API remains available. H3/H3-Max cost scenarios and Mac limits.

  37. Qwen3.8-Max API: $1.65 US Global vs $2 Singapore pricing

    Qwen3.8-Max: US Virginia Global API at $1.65/$4.951 vs Singapore International $2/$6 per million tokens, weights and Mac limits.

  38. Qwen3.6-27B Fable Fusion 711 on Mac: GGUF Sizes and RAM Choices

    Fable Fusion 711 on Mac: start with the 18.0 GB Q4_K_M GGUF on 32 GB. File sizes for 24 to 64 GB, MTP and vision files, no original Mac benchmarks.

  39. Best MacBook for AI Development in 2026: M5 Pro 48GB vs 64GB

    MacBook for AI development in 2026: M5 Air 24GB, M5 Pro 48/64GB, M5 Max 128GB compared for local 7B, 13B and 30B models on Apple Silicon.

  40. Apple Intelligence Local AI: On-Device Models, PCC and Apple Silicon

    Apple Intelligence runs a ~3B on-device model; AFM 3 Core Advanced has 20B parameters with 1–4B active. Harder requests can go to Private Cloud Compute.

  41. Meituan LongCat-2.0: The 1.6-Trillion-Parameter Model Explained

    LongCat-2.0 fact check: 1.6T MoE weights, 1M context, verified USD API pricing, cache scenarios and LongCat-2.5-Preview comparison for Mac users.

  42. Kimi K3 on Mac: Open weights are here — why local use is still impractical

    Kimi K3 on Mac: 2.8T parameters, 1M context, 16/896 experts. Current U.S. API pricing, cache writes, access and license explained.

  43. Meta Muse Spark 1.1 on Mac: What Changed by Muse Spark 1.3

    Muse Spark 1.1 remains listed on Meta Model API. Compare 1.3, provider access, Standard vs Contributor pricing and Mac data flows.

  44. Grok on Mac: Grok Bot Desktop App, Grok Build and API

    Grok for Mac: Grok Bot, Grok Build, and xAI API. Grok 4.5 vs 4.7 pricing, caching, U.S. regional endpoint, and cloud-only limitations.

  45. Tencent Hy3 on Mac: OpenRouter, 295B MoE, Apache 2.0 and Local Limits

    Tencent Hy3 on Mac: OpenRouter cache price math, ZDR provider routing, 295B MoE memory calculations and U.S. privacy limits.

  46. Poolside Laguna XS.2 on Mac: Open-Weight Coding Model, Benchmarks and RAM

    Poolside Laguna XS.2 vs XS 2.1 on Mac: Ollama Q4 and MLX tags, context, Metal chat failures, licenses and safe agent migration.

  47. Claude Sonnet 5 on Mac: Agents, Coding, 1M Context and API Costs Explained

    Sonnet 5 after the Sonnet 5.5 release: $2/$10 USD API list rates, 1M context, native model IDs, macOS workflows and migration advice.

  48. Gemini 3.1 Flash Lite Image on Mac: Nano Banana 2 Lite Explained

    Gemini 3.1 Flash Lite Image October guide: Nano Banana 2.1 comparison, US 1K API pricing, Batch, working generateContent REST example and Mac limits.

  49. Sakana Fugu Ultra: An AI Orchestrator, Not a Model You Can Download

    Sakana Fugu Ultra v2 vs Max for U.S. Mac users: real API bills with orchestration, cache and 272K surcharge, tested pricing math and safe setup.

  50. macOS 27 Golden Gate compatibility: Does it run on your Mac? Intel support ends

    macOS 27 Golden Gate supports no Intel Mac: only Apple silicon from M1 plus the A18 Pro MacBook Neo. Full Mac list, Siri AI limits and the M3 + 12GB rule.

  51. Kimi K2.7 Code on Mac: Cloud, API, or GGUF?

    Kimi K2.7 Code on Mac: U.S. API rates versus K3, cloud/Ollama separation, Kimi Code subscriptions, 256K versus 1M context, and GGUF hardware.

  52. Claude Fable 5 Is Back: Legacy Status, API Pricing and Mac Alternatives

    October 14, 2026 Claude Fable 5 legacy status, USD API pricing versus Fable 5.1, Opus 5.5 and Sonnet 5.5, 30-day retention and local Mac alternatives.

  53. Nex N2 Pro on Mac: What 397B MoE Means in Practice

    Nex N2 Pro on Mac: 397B/17B MoE, official 400GB FP8 release, realistic memory limits, and secure remote use without invented MLX benchmarks.

  54. Gemma 4 12B on Mac: RAM, Ollama, MLX and Multimodal Support

    Gemma 4 12B Unified has 256K context and text, image, audio and video input. Current Mac guidance for Ollama, MLX, memory and benchmarks.

  55. NVIDIA Nemotron 3 Ultra on Mac: Cloud Tag, 256K and NIM

    Use Nemotron 3 Ultra from a Mac without confusing cloud access with local inference: Ollama Cloud, native 256K, optional NIM 1M, real hardware limits.

  56. StepFun Step 3.7 Flash on Mac: 198B MoE, 256K Context and the Local Reality

    StepFun Step 3.7 Flash for U.S. Mac users: 198B MoE weights, 128GB RAM recommendation, direct vs OpenRouter API rates, caching, and privacy.

  57. MiniMax M2.7 on Mac: API Pricing and the New M Plan

    MiniMax M2.7 on Mac: API rates, M Plan vs legacy Token Plan, 5-hour/weekly windows, credits, safe billing, US privacy and Ollama Cloud.

  58. Gemini 3.5 Flash on Mac: How to Use It, Pricing, and Local Alternatives

    What Gemini 3.5 Flash can do, how to use it from a Mac, what it costs, how Google handles your data, and which local models fit when you need offline AI.

  59. Qwen3.7-Max OpenRouter Pricing: 1M Context, API Setup & Mac Limits

    Qwen3.7-Max on Mac: OpenRouter versus Alibaba US-scope prices, cache billing, safe API calls and local alternatives.

  60. Can Gemini 3.5 Flash Run Locally on Mac? Ollama, MLX & Pricing

    Gemini 3.5 Flash deprecated: switch to 3.6 Flash, current API token rates and model IDs, privacy and offline Mac alternatives.

  61. Moondream2 on Mac: 1.7 GB Vision Without the Cloud

    Run Moondream2 locally on Apple Silicon: Ollama setup, Python API, memory guidance, privacy and the limits of this compact vision model.

  62. Gemma 4 26B vs Qwen3.6 27B on Mac: RAM, Ollama and MLX

    Gemma 4 26B A4B and Qwen3.6 27B compared on Mac: RAM, Ollama, MLX, coding, multimodality and the newer Qwen3.8 successor.

  63. Gemma 3 on Mac: Variants, Vision and Memory Limits

    Gemma 3 on Apple Silicon: which Ollama variants support text and images, what package size fits, and why 128K context is not a RAM promise.

  64. Gemma 4 on Mac: Variants, Modalities and Memory Planning

    Gemma 4 on Mac: verified Q4 tags, memory planning and a reproducible Ollama API benchmark protocol with real token-per-second metrics.

  65. Baidu ERNIE 5.1: strong cloud model, not a local Mac setup

    Baidu ERNIE 5.1: listed in international Qianfan API with USD context-based pricing, account restrictions and practical Mac limitations.

  66. Qwen3.6 on Mac: 27B, 35B-A3B, Vision and Ollama

    Run Qwen3.6 27B or 35B-A3B on Mac: exact Ollama tags, memory headroom, local vision with Python, context settings and measured API checks.

  67. How Much RAM Does a Local LLM Need on a Mac?

    How much memory do Mac LLMs need? Quantized model weights, KV cache, true RAM overhead and practical Mac memory tiers from 16GB to 128GB+.

  68. Best Open-Weight LLMs for Mac in 2026: RAM, Ollama Tags & Picks

    Open-weight LLM picks for 8–64GB Macs: Gemma 4 for smaller systems, Qwen3.8-27B for 32GB+, Ollama tags, realistic memory margins and a fair speed test.

  69. Apple Intelligence vs Local AI: Mac Privacy Guide

    Apple Intelligence can use Private Cloud Compute or optional ChatGPT. Ollama also offers cloud models; offline inference requires a local-only workflow.

  70. LM Studio vs Ollama: Which Is Better on Mac?

    LM Studio or Ollama on Apple Silicon: GUI, CLI, local APIs, GGUF, MLX, RAG, offline operation and security compared.

  71. Ollama on Mac mini M4: local AI setup, memory limits and the cloud trap

    Set up Ollama on Mac mini M4: model choices for 16–64 GB unified memory, local API, Open WebUI, context length, cloud models and privacy.

  72. Mac mini M4 for Local AI in 2026: 16GB, 24GB or M4 Pro?

    Buying a used Mac mini M4 for local AI? Compare 16–64GB memory tiers, Activation Lock, M6 pricing, Apple bandwidth specs and practical model-fit limits.