New engine releases 2026 H2

[FlavusSnow]

FunComp 3.0

https://github.com/Moxnar/FunComp (release: https://github.com/Moxnar/FunComp/releases/tag/v3.0)

FunComp 3.0 is the first version with an NNUE evaluation. It is estimated at about 3640 on the CCRL Blitz scale (3642 ± 8 from a single-threaded gauntlet of 2,000 games at 10+0.1 against 20 rated engines, CCRL Blitz 3492–3793; an estimate on my hardware, not an official CCRL rating). That’s about +360 above version 2.0 measured the same way, and +484 ± 33 against 2.0 in direct self-play.

Relatively simple net: a single 1024-wide hidden layer with 7 king buckets and 8 output buckets. It was trained on ~1.44B positions from FunComp’s own self-play, labelled only by its own search, with no other engine’s games, evaluations or networks. The net is built into the executable, so there’s nothing extra to download.

Windows binaries for AVX2 CPUs and for any x86-64 CPU. Supports multiple threads, Syzygy tablebases and pondering. GPL-3.0.

What's next: Better training labels and more of them.

[Graham Banks]

Kociolek v2.3

https://github.com/Koci0l/NNUE-Chess-en ... s/tag/v2.3
Did 2 datagens. First 2.0B pos then on the new net 2.5B.
Elo: 54.29 +/- 21.45, nElo: 87.71 +/- 34.05
STC
Elo: 50.74 +/- 17.33, nElo: 101.17 +/- 34.05
LTC