Research · Head-to-head

Inkling-Small vs Bohrium

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

The verdict

Pick Inkling-Small if…

Try Inkling-Small →

Pick Bohrium if…

→your primary use case is researchers, postdocs, and faculty in the physical and life sciences who need citation-traceable literature synthesis plus scientific computing tools.
→you need: research, education

Try Bohrium →

Spec	Inkling-Small	Bohrium
Category	Research	Research
Pricing model	free	freemium
Headline pricing	Free — open weights download; Tinker Playground access	Free tier (daily credits) + Pro from ~$15/mo
Free tier	Yes — the weights themselves are free to download and run. Compute is the real cost.	Yes — a free tier with daily credits (~1,500 reported) covers core search and basic literature review.
AI Score	8.8/10	8/10
Best for	—	Researchers, postdocs, and faculty in the physical and life sciences who need citation-traceable literature synthesis plus scientific computing tools.
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

✓Citation traceability to real papers — output you can actually cite, not hallucinated references
✓Searches a large 170M+ paper corpus with semantic, not just keyword, matching
✓Combines literature review, knowledge bases, and scientific computing in one platform
✓Usable free tier with daily credits, plus student and institutional pricing
✓Backed by DP Technology, an established AI-for-science firm with real research traction

×Coverage skews toward physical and life sciences where DP Technology is strongest
×AI-generated reviews still require expert verification before any serious use
×Crowded category — overlaps heavily with Elicit, Consensus, and SciSpace
×Pricing tiers and credit limits are not always clearly documented; verify on the site