# Laguna S 2.1

43 Hacker News commenters recommended Laguna S 2.1 and 12 criticized it, November 2025 to November 2026. It was recommended in 4 of 13 months. It meets the Hacker Approved badge rule.

**Verdict:** Recommended as a fast, capable mixture-of-experts coding model that runs on home hardware; critics say it is weak outside coding and early releases had bugs.

## Why people recommend it

- Strong at coding specifically (4 comments): "things like Laguna S2.1 NVFP4 gets really close of almost being there, when it comes to coding specifically" ([source](https://news.ycombinator.com/item?id=49120715)) "Really impressive signal that this 128B model can beat DeepSeek V4 (1.6T) on most coding benchmarks!" ([source](https://news.ycombinator.com/item?id=48998995)) "Works amazingly for coding, pretty bad for pretty much anything else." ([source](https://news.ycombinator.com/item?id=49220007))
- Fast for its size (4 comments): "This is really a sweet spot imo on this machine between maximizing ram use and still having decent speed due to the expert size." ([source](https://news.ycombinator.com/item?id=49004937)) "it positively flies on an m5 max - the 60tok/s decode / ~500tok/s prefill is real." ([source](https://news.ycombinator.com/item?id=49026903)) "seems to be on par (or better) than DeepSeek v4, is only 110B, and it's faster" ([source](https://news.ycombinator.com/item?id=49219598))
- Cheap, rivals DeepSeek V4 Flash (4 comments): "it seems to be a bit behind Meta Muse Spark 1.1 performance at approximately the Deepseek v4 Flash price point" ([source](https://news.ycombinator.com/item?id=49001164)) "I am SO impressed by this model! It's cheap as deepseek v4 flash, better than minimax m3 I would say" ([source](https://news.ycombinator.com/item?id=49108142)) "I think this is probably also stupider than laguna s 2.1 which can also be very cheap to serve" ([source](https://news.ycombinator.com/item?id=49823863))
- Size fits home hardware (3 comments): "This is really a sweet spot imo on this machine between maximizing ram use and still having decent speed due to the expert size." ([source](https://news.ycombinator.com/item?id=49004937)) "this is a real sweet spot I think in terms of model size and performance" ([source](https://news.ycombinator.com/item?id=48997309)) "Looks impressive, and this size fits achievable home hardware." ([source](https://news.ycombinator.com/item?id=48997605))

## What people warn about

- Weak outside coding tasks (4 comments): "Laguna and Muse Glimmer failed hard on it, though they're useful for other tasks." ([source](https://news.ycombinator.com/item?id=49310350)) "Works amazingly for coding, pretty bad for pretty much anything else." ([source](https://news.ycombinator.com/item?id=49220007)) "Laguna and Muse Glimmer failed hard on it, though they're useful for other tasks" ([source](https://news.ycombinator.com/item?id=49305335))
- Buggy releases and quantizations (5 comments): "Laguna provided quants have some issues and they are reworking/updating them." ([source](https://news.ycombinator.com/item?id=49025161)) "Initially there were serious bugs, also about the templates" ([source](https://news.ycombinator.com/item?id=49219989)) "There was an obvious problem in the original release, they re issued it after like a week with the reasoning looping supposedly fixed." ([source](https://news.ycombinator.com/item?id=49218152))
- Memory hungry, slows at long context (2 comments): "very memory hungry and PP speed drops off a cliff around 200k context" ([source](https://news.ycombinator.com/item?id=49053589)) "their latest updates means it doesn't quite fit a GB10 128GB anymore at full context which is a shame" ([source](https://news.ycombinator.com/item?id=49794245))
- Unreliable as an agent (3 comments): "pretty bad as an agent - not proactive, would frequently stubbornly argue things that weren't true" ([source](https://news.ycombinator.com/item?id=49219306)) "very comfortable for chatting, but still not usable for interactive agentic coding" ([source](https://news.ycombinator.com/item?id=49018613)) "the outputs so far aren't impressive, and it gets stuck and perseverates" ([source](https://news.ycombinator.com/item?id=49100430))

## Alternatives hackers recommend

- [Cursor Composer](https://hackerapproved.com/p/composer-2-5.md): 214 recommend
- [Qwen3-Coder](https://hackerapproved.com/p/qwen3-coder-next.md): 165 recommend
- [GPT-5.3-Codex](https://hackerapproved.com/p/gpt-5-3-codex.md): 135 recommend
- [Meta Muse Glimmer 30B](https://hackerapproved.com/p/meta-muse-glimmer.md): 70 recommend
- [GPT-5.2-Codex](https://hackerapproved.com/p/gpt-5-2-codex.md): 54 recommend

## Cite as

Hacker Approved, "Laguna S 2.1", https://hackerapproved.com/p/laguna-s-2-1/ (counts from 1,795,640 Hacker News comments, November 2025 to November 2026).