MemcachedvsRedis
How 10 AI models weigh Memcached against Redis on the 1 buying question where both came up.
- Memcached
- 84%of answers named it
- Redis
- 76%of answers named it
- Placed higher
- 3–31times Memcached vs Redis, over 34 model rankings that listed either
- Models leaning
- 0–10toward Memcached vs Redis
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | Memcached | Redis | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 92% | 0–4 | Redis |
| GPT-6 Luna | 92% | 75% | 0–3 | Redis |
| Gemini 4 Argon | 75% | 75% | 0–3 | Redis |
| Qwen 3.8 Flash | 75% | 75% | 0–3 | Redis |
| DeepSeek V4 Pro | 100% | 75% | 1–3 | Redis |
| GLM-5.3 | 75% | 75% | 0–3 | Redis |
| Kimi K3 | 75% | 75% | 0–3 | Redis |
| MiniMax M3 | 92% | 75% | 1–3 | Redis |
| Mistral Large 4 | 83% | 75% | 1–3 | Redis |
| Nemotron 3 Ultra | 73% | 73% | 0–3 | Redis |
What the models say about Memcached
One reason per model, from the shared questions
- Claude Haiku 5.5
Simple, lightweight, and very fast distributed memory cache for key-value workloads.
- GPT-6 Luna
Simple, fast distributed object cache for reducing repeated database work.
- Gemini 4 Argon
Simple, rock-solid, multithreaded in-memory key-value store ideal for pure, scalable object caching.
- Qwen 3.8 Flash
Simple, battle-tested distributed object cache for dynamic web content.
- DeepSeek V4 Pro
Ultra-lightweight, high-throughput object cache; still unbeatable for simple key-value workloads.
- GLM-5.3
Simple, proven distributed key-value cache with tiny overhead.
- Kimi K3
Simple, lightweight, battle-tested for pure object caching.
- MiniMax M3
Simple, distributed memory cache ideal for read-heavy apps.
- Mistral Large 4
Simple, multithreaded, extremely fast for straightforward key-value caching.
- Nemotron 3 Ultra
Simple, high-performance distributed caching
What the models say about Redis
One reason per model, from the shared questions
- Claude Haiku 5.5
Fast in-memory store, versatile data structures, and the de facto standard for application caching.
- GPT-6 Luna
Versatile in-memory data store with broad ecosystem support for application caching.
- Gemini 4 Argon
The industry standard for in-memory data structures, session caching, and high-throughput web performance.
- Qwen 3.8 Flash
De facto standard for fast in-memory caching of app data and sessions.
- DeepSeek V4 Pro
Blazing fast in-memory data store; de facto standard for caching, session storage, and queuing.
- GLM-5.3
Industry-standard in-memory store; versatile caching, sessions, and pub/sub.
- Kimi K3
Industry-standard in-memory cache; versatile, fast, huge ecosystem.
- MiniMax M3
Fastest in-memory data store with rich data structures.
- Mistral Large 4
Blazing fast in-memory store, industry standard for caching and sessions.
- Nemotron 3 Ultra
In-memory speed, versatile data structures
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | Memcached | Redis |
|---|---|---|
| Best caching tools for web apps | 84% #1 | 76% #2 |
| Best databases for web apps | · | 86% #1 |