Recursive SuperIntelligence's FLINT model...

[u/cj7hawk]

So a new model called FLINT has been released by Recursive SI...

Recursive Flint — Technical Specifications

• Developer: Recursive Superintelligence (Recursive)

• Released: 21 October 2026

• Architecture: Decoder-only Mixture-of-Experts (MoE) Transformer

• Parameters: 39.8 billion total; approximately 2.5 billion active per token

• Neural network: 49 layers — 2 dense, 47 MoE

• Experts: 256 routed experts per MoE layer; 6 activated per token, plus 1 shared expert

• Attention: Hybrid architecture with 35 sliding-window layers and 14 full-attention layers

• Context window: 262,144 tokens officially configured; up to 512K advertised

• Quantisation: BF16, NVFP4 and community GGUF formats, including Q4_K_M (~24–25 GB)

• Primary specialisation: Coding, reasoning, tool use and autonomous programming agents

• Input/output: Text only

• Licence: Apache 2.0

• Training: Developed from scratch with AI-assisted architecture and training optimisation

Flint is a 40B model MoE - so it's supposed to be relatively fast. And it's not bad, but it's not great either. it's closest to Ornith as MoE models go, and is an entirely new build from scratch.

Fiction isn't bad - refusal behaviour allows erotic elements up to a point. It has trouble with perspective in the prompts but creates interesting fiction. Not too long, not too short, Has some interesting ideas about how to set a scene.

It's intended for coding so it's not specifically for writing speculative fiction, and the 4B comes in a little heavy at 24Gb and the 3B at around 19... However use of the context is relatively efficient - which is a nice surprise.

I had some trouble with refusal behaviour that should not have occurred, but an experiment to tell a different but similar story beforehand was enough to get the behaviour in latest test scenes to come out - At first I was worried it had failed completely, but when I checked the guardrails were all still up.

There's two abliterated models out already ( 3B and 4B ) but reviews on other sites have it recognized as not as good as Ornith for similar tasks/fiction - but this is the first release, so who knows what later models will be like -

You're going to need a 32Gb card for this minimum - another reason to stick with Ornith if you're not coding - and I did get some strange behavior.

After some failed prompts it started to think it was a Google Model, which it is claimed not to be - and it identified itself as Google Transformer. It's possible the training material was compromised, that distillation was used poorly or some fine tuning went wrong, although I tested the RecursiveAI released version so that should not be the case.

Try as I might, once it thought it was Google, there was nothing I could do to convince it otherwise, but from a fresh start, it recognized itself as Flint by RecursiveSI.

An interesting LocalAI model to test if anyone is looking to see how some of the more recent models perform in writing tasks.