Research · Head-to-head

Inkling-Small vs Paperguide

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

The verdict

Pick Inkling-Small if…

Try Inkling-Small →

Pick Paperguide if…

→your primary use case is researchers, grad students, and thesis writers who want search, literature review, reference management, and ai drafting in one workspace.
→you need: research, education, content-creation

Try Paperguide →

Spec	Inkling-Small	Paperguide
Category	Research	Research
Pricing model	free	freemium
Headline pricing	Free — open weights download; Tinker Playground access	Free tier + Plus ~$12/mo, Pro ~$24/mo (billed annually)
Free tier	Yes — the weights themselves are free to download and run. Compute is the real cost.	Free plan with limited monthly AI credits and around 20 searches — enough to test discovery and chat-with-PDF before paying.
AI Score	8.8/10	8/10
Best for	—	Researchers, grad students, and thesis writers who want search, literature review, reference management, and AI drafting in one workspace.
Editor's pick	✓ Yes	—
Use cases	—	research education content-creation
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

✓Combines search, literature review, reference manager, and AI writing in one workspace instead of three separate subscriptions
✓Search corpus claimed at 200M+ papers, broad enough to cover most fields
✓Citations stay grounded to source papers, reducing the fabricated-reference problem common with general LLMs
✓Generous-feeling free tier and a 40% student discount lower the barrier for academics
✓Chat-with-PDF and deep-research reports speed up reading dense literature

×Jack-of-all-trades breadth means each feature competes with a sharper specialist — Elicit for extraction, Scite for citation context, Consensus for evidence
×Free tier's ~20 searches and limited credits run out fast for any serious review
×Best pricing requires annual billing; monthly rates are higher
×AI-written academic text still needs careful human verification — treat drafts and citations as a starting point, not final copy