NVIDIA Nemotron vs OLMo by AllenAI vs Pleias vs Tülu by AllenAI

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

NVIDIA Nemotron NVIDIA's open-weight LLM family tuned for agentic workloads Visit OLMo by AllenAI Every step open: weights, training data, code and checkpoints Visit Pleias Small open LLMs trained only on permissively licensed data Visit Tülu by AllenAI Ai2's open playbook for turning base LLMs into instruct models Visit
RECATOOLS Score 7.3 / 10 6.8 / 10 6 / 10 6.6 / 10
Capability 8 6 5 6
Value for money 7 9 8 8
Ease of use 5 5 5 5
ASEAN readiness 6 7 6 6
API quality 7 0 4 5
Pricing Open Source Open Source Open Source Open Source
Free tier
Paid from
Has API
Open source
Free to use
Users
Founded 2024 2024 2023
Maker
Verdict

Nemotron 3, released June 2026, is the current generation: Nano, Super and Ultra variants sharing a hybrid Mamba-Transformer mixture-of-experts design with up to a 1M-token context. Nemotron 3 Ultra is the flagship — 550...

OLMo earns its 'radically open' label: not just weights but the full Dolma training corpus, the OLMo-core training code, every intermediate checkpoint, and the OLMES evaluation harness are all public. That's rare even am...

Pleias takes the opposite bet from the frontier labs: instead of scraping everything and scaling up, it trains small (350M to 3B parameter) models exclusively on Common Corpus, its own roughly 2-trillion-token dataset of...

Tülu is less a product than a paper trail: Ai2 publishes the SFT data, DPO preference pairs and the RLVR reinforcement method behind each release, so anyone can trace exactly how a base Llama 3.1 or OLMo 2 model became a...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.