verifier.org

Seed-Coder-8B

plain mit, native fill-in-the-middle, and it fits in five gigabytes — the practical local pick.

free (mit)#editor-completion-on-you#where-latency-beats-lead

the best thing here that actually runs on a laptop, with the cleanest licence and the fill-in-the-middle training the frontier models skipped.

bytedance trained it natively on fill-in-the-middle and suffix-prefix-middle objectives, which is what editor integration actually needs and what most of the large agentic models in this ranking don't offer. at 8b and roughly 5gb quantised it runs on hardware you already own, and completion latency is local rather than a round trip.

the licence is plain mit, confirmed from the repository. no thresholds, no use restrictions, no attribution mandate — the same standing as qwen3-coder and deepseek, at a fraction of the size.

the description above is ours, condensed from the ranking. pricing moves — check it on the vendor's own page before you rely on it.

category
coding llms
pricing
free (mit)
website
github.com
our verdict

the best thing here that actually runs on a laptop, with the cleanest licence and the fill-in-the-middle training the frontier models skipped.

we researched this category against vendors' own pricing pages and licence files. that is where this line comes from — not from the vendor, and not from anything they paid for.

more coding llms

OpenCoder

fully open code model with training data and pipeline released

#fully-open#reproducible

Magicoder

small code models trained on oss-derived synthetic instructions

#research#small

Qwen3-Coder

we checked thisfree (apache 2.0)

apache 2.0 confirmed in the licence text, a million tokens of context, and now a version small enough to actually run.

#repository-scale-agentic#the-licence-both-need-to

DeepSeek Coder

we checked thisfree (mit)

the brand is now an api alias — and the models behind it went from a restrictive weights licence to plain mit.

#frontier-tier-coding-whe