Memory Efficiency in LLMs: Study Summary
How context length, KV-cache growth, and attention choices trade memory, latency, and recall in LLMs—practical fixes for local setups.
NanoGPT Blog
Updates, guides, and insights
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218 posts found for 'pricing'
Celeris 1: A Diffusion Model for Short AI Tasks
Celeris 1 uses diffusion-based text generation for short tasks. See its provider-reported speed results, benchmark caveats, NanoGPT limits, pricing, and a small API test.
Ling 3.0 Flash vs Thinking: What Changed in Our Test
We tested Ling 3.0 Flash and Ling 3.0 Flash Thinking on coding, extraction, tool use, counting, and logic. See where their results differed and what Thinking cost.
Gemini 3.6 Flash vs Gemini 3.5 Flash Lite: Which Should You Use?
Compare Gemini 3.6 Flash and Gemini 3.5 Flash Lite on benchmarks, speed, pricing, context, coding, research, and high-volume work.
Laguna S 2.1 Benchmarks: When Thinking Mode Is Worth It
See how Poolside Laguna S 2.1 performs on coding and agent benchmarks, what Thinking mode adds, what it costs, and which version to use.
Qwen3.8 Max Preview: What We Know Before the Benchmarks
Qwen3.8 Max Preview is available before its benchmark table. Here is what is confirmed, what remains unverified, and how to compare it fairly with Qwen3.7 Max.
Doubao Seed Character vs Aion 3: Which Roleplay Model Should You Use?
Compare Doubao Seed Character, Aion 3.0, and Aion 3.0 Mini for character chat, roleplay, long-form storytelling, image input, and price.
How Much Could You Save by Switching AI Models?
Use your own recent NanoGPT usage to compare AI model costs, understand what the estimates mean, and decide whether a cheaper model is worth testing.
How to Choose an AI Web Search Tool
Compare Linkup, Brave, Tavily, Exa, Kagi, Perplexity, Valyu, Sofya, and Firecrawl by cost, search depth, page content, filters, and best use case.
Muse Spark 1.1 Benchmarks: How Good Is Meta's New Model?
Muse Spark 1.1 brings strong coding results, a 1M-token context window, and inexpensive cached input. Here is where Meta's new model stands out—and where it still falls short.