Research · Head-to-head

Inkling-Small vs Bohrium

Inkling-Small (free, AI Score 8.5/10) vs Bohrium (freemium, AI Score 7.5/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick Inkling-Small if…

→budget is the constraint
→overall capability matters more than price (AI Score 8.5 vs 7.5)
→you want our editor's pick for this category
→your primary use case is ml research teams and infrastructure-heavy engineering orgs that need audio-plus-vision reasoning over long documents running on weights they host themselves, because the data can't go to a hosted api.

Try Inkling-Small →

Pick Bohrium if…

→your primary use case is physical and life science researchers, postdocs, and faculty who want citation-traceable literature synthesis sitting next to actual scientific computing tools, rather than a chatbot that stops at the summary.
→you need: education

Try Bohrium →

Spec	Inkling-Small	Bohrium
Category	Research	Research
Pricing model	free	freemium
Headline pricing	Free open weights; Tinker hosted access — check website for current pricing	Free tier with daily credits; paid tiers — check website for current pricing
Free tier	Yes — the weights themselves are free to download and run. Compute is the real cost.	Yes. A free tier with a daily credit allowance covers core search and basic literature review, which is enough to judge whether the corpus covers your field before paying.
AI Score	8.5/10	7.5/10
Best for	ML research teams and infrastructure-heavy engineering orgs that need audio-plus-vision reasoning over long documents running on weights they host themselves, because the data can't go to a hosted API.	Physical and life science researchers, postdocs, and faculty who want citation-traceable literature synthesis sitting next to actual scientific computing tools, rather than a chatbot that stops at the summary.
Editor's pick	✓ Yes	—
Use cases	research development	research education
Date added	2026-07-31	2026-06-27

Research · free

✓Open weights on Hugging Face, so it runs fully offline for audio, documents, or code that can't leave your infrastructure
✓12B active of 276B total keeps per-token compute near a mid-size dense model
✓Audio and vision are native to the model rather than a separate encoder stage — rarer on the open shelf than text-plus-image
✓1M-token context handles whole codebases or long document sets in a single pass
✓Fine-tuning path through Tinker comes from the lab that trained the model, not a third-party reimplementation

×Every performance claim is still first-party — the "beats the larger Inkling" result comes from the launch post and no independent evaluation has published since
×"Free weights" understates cost badly: all 276B parameters must be VRAM-resident, which puts local deployment out of reach for individuals and small teams
×Two weeks old, so quantizations, serving-stack support and community fine-tunes are thin next to DeepSeek or Llama
×A raw model, not a product — no chat app, no agent harness, and no documented computer-use or video generation; agentic tool-use behaviour is untested in public

Research · freemium

✓Output links back to real, locatable papers rather than paraphrased or invented references
✓Scientific computing tools and agents that general-purpose research assistants have no equivalent for
✓Knowledge bases keep project context across sessions instead of restarting each chat
✓Free tier with daily credits is generous enough to test corpus coverage in your field before paying
✓Built by DP Technology, an established AI-for-science firm with real standing in the DeepModeling ecosystem

×Sourced literature synthesis is no longer rare — the frontier assistants' deep-research modes closed most of that gap during 2026
×Coverage skews to physical and life sciences; humanities and social-science searches feel thinner than the corpus size implies
×AI-drafted reviews still need expert verification, so the time saved is smaller than the demo suggests
×Pricing tiers and credit allowances have shifted since launch and are not clearly documented — verify before budgeting

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.