Research · Head-to-head

Inkling-Small vs Undermind

Inkling-Small vs Undermind: pricing, features, and which to pick in 2026.

The verdict

Pick Inkling-Small if…

Try Inkling-Small →

Pick Undermind if…

→your primary use case is researchers, r&d teams, and graduate students who need to map a niche corner of scientific literature rather than skim top hits.
→you need: research, education

Try Undermind →

Spec	Inkling-Small	Undermind
Category	Research	Research
Pricing model	free	freemium
Headline pricing	Free — open weights download; Tinker Playground access	Free tier (~3 deep searches/mo) + Pro ~$20/mo
Free tier	Yes — the weights themselves are free to download and run. Compute is the real cost.	Free tier includes roughly 3 deep searches per month — enough to evaluate whether the agentic approach fits your workflow.
AI Score	8.8/10	8/10
Best for	—	Researchers, R&D teams, and graduate students who need to map a niche corner of scientific literature rather than skim top hits.
Editor's pick	✓ Yes	—
Use cases	—	research education
Date added	2026-07-31	2026-06-27

Research · free

✓Open weights on Hugging Face, so it can run fully offline for sensitive audio, documents, or code
✓12B active parameters keeps per-token inference cost near a mid-size dense model despite the 276B total
✓Audio and vision are native to the model rather than a separate encoder stage
✓1M-token context handles whole codebases or long document sets in one pass
✓Hosted Tinker Playground path for teams that want to evaluate before committing hardware

×"Free weights" is misleading on cost — serving 276B parameters requires enough VRAM to put local deployment out of reach for individuals and small teams
×The claim that it outperforms the larger Inkling comes from the lab's own launch benchmarks; independent third-party evaluations aren't in yet
×Released July 30, 2026, so tooling, quantizations, and community fine-tunes are still thin compared to established open-weights families
×It's a raw model, not a product — no chat app, no agent harness, no support contract unless you build or buy one

Research · freemium

✓Agentic, multi-round search optimized for recall — finds papers keyword databases miss
✓Every report ships with inline citations back to source papers
✓Reports a confidence estimate of how completely it covered the literature
✓Built by domain PhDs with real academic and enterprise traction (MIT, Harvard, GSK)
✓Genuine free tier to test the workflow before paying

×Each deep search takes minutes, not seconds — it's not a quick lookup tool
×Search quotas are tight: ~3/month free, ~30/month on Pro
×Strongest in technical scientific domains; less suited to general or non-academic queries
×Overlaps with cheaper or free alternatives (Consensus, Elicit, Perplexity) for lighter needs