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InkubaLM vs NileChat-3B

A verified, side-by-side comparison. Both records are status-checked by Wycord, so you are comparing what each actually offers today, not a stale listing.

InkubaLMNileChat-3B
Category
AI Resources
AI Resources
Type
LLM
LLM
Country
🇿🇦 South Africa
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open weights (CC BY-NC 4.0)
Open weights (Qwen research license, non-commercial)
Verified
Verified
Unverified
Last verified
10 Oct 2026
10 Oct 2026
Tags
nlp, llm, african-languages, open-weights, low-resource
llm, arabic-dialects, egyptian-arabic, moroccan-darija, qwen
Links
Website Docs GitHub
Website Docs GitHub
Summary
InkubaLM-0.4B is a 400M-parameter open-weights small language model built from scratch by Lelapa AI for five low-resource African languages (isiZulu, Yoruba, Swahili, isiXhosa, Hausa, plus English/French), using a LLaMA-style architecture trained on 2.4B tokens.
NileChat-3B is a 3B-parameter LLM built on Qwen2.5-3B and adapted for Egyptian and Moroccan communities, handling Egyptian and Moroccan dialectal Arabic in both Arabic script and Arabizi alongside Modern Standard Arabic, French and English. It was trained with controlled synthetic data and translated corpora and outperforms its Qwen2.5-3B baseline on Arabic benchmarks. It was released by the UBC Deep Learning and NLP Lab and accepted at EMNLP 2025.

InkubaLM vs NileChat-3B at a glance

InkubaLM and NileChat-3B are both listed under LLM in Wycord's AI Resources index.

InkubaLM is based in South Africa and NileChat-3B in Pan-African.

Both currently show the status "Docs live".

On access, both are marked "No approval needed".

Over the last 30 days Wycord's probes measured 100% uptime for InkubaLM (36 checks) and 100% for NileChat-3B (36 checks).

Average response time on live probes was 168 ms for InkubaLM and 167 ms for NileChat-3B.

Uptime and latency come from Wycord's own probes of each resource's website, documentation and repository, run every six hours.

How they differ

  • Pricing: InkubaLM, Free / open weights (CC BY-NC 4.0); NileChat-3B, Open weights (Qwen research license, non-commercial).
  • Country: InkubaLM, South Africa; NileChat-3B, Pan-African.
  • Verification: InkubaLM, Verified; NileChat-3B, Unverified.
  • Average latency: InkubaLM, 168 ms; NileChat-3B, 167 ms.

Topics

Both are tagged: llm.

Only InkubaLM: nlp, african-languages, open-weights, low-resource.

Only NileChat-3B: arabic-dialects, egyptian-arabic, moroccan-darija, qwen.

Common questions

Which has better uptime, InkubaLM or NileChat-3B?
They are level at 100% over the last 30 days.
Do InkubaLM or NileChat-3B need approval before use?
Both are marked "No approval needed".
Is the documentation for InkubaLM and NileChat-3B working?
Both show "Docs live" at the last check.
Where are InkubaLM and NileChat-3B based?
InkubaLM is based in South Africa; NileChat-3B is based in Pan-African.

More comparisons

Full details: InkubaLMFull details: NileChat-3B