Research · Head-to-head
Inkling-Small vs Co-Scientist
Inkling-Small (free, AI Score 8.8/10) vs Co-Scientist (free, AI Score 8.2/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Inkling-Small if…
- →overall capability matters more than price (AI Score 8.8 vs 8.2)
- →you want our editor's pick for this category
Pick Co-Scientist if…
- →your primary use case is biomedical and drug-discovery researchers who want ai-generated, debated hypotheses grounded in literature before designing experiments.
- →you need: research, agents
Side-by-side specs
| Spec | Inkling-Small | Co-Scientist |
|---|---|---|
| Category | Research | Research |
| Pricing model | free | free |
| Headline pricing | Free — open weights download; Tinker Playground access | Free (experimental access via registration) |
| Free tier | Yes — the weights themselves are free to download and run. Compute is the real cost. | Full experimental access available via registration at labs.google/science |
| AI Score | 8.8/10 | 8.2/10 |
| Best for | — | Biomedical and drug-discovery researchers who want AI-generated, debated hypotheses grounded in literature before designing experiments. |
| Editor's pick | ✓ Yes | — |
| Use cases | — | research agents |
| Date added | 2026-07-31 | 2026-06-06 |
Pros and cons
Inkling-Small
Research · free
Pros
- ✓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
Cons
- ×"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
Co-Scientist
Research · free
Pros
- ✓Genuinely novel approach — multi-agent debate produces higher-quality hypotheses than single-model generation
- ✓Nature-published validation with real lab partnerships confirming practical value in drug discovery
- ✓Free experimental access with no paywall — rare for a tool this ambitious
- ✓Goes beyond search and summarization to actual hypothesis generation and scientific reasoning
Cons
- ×Strongest in biomedical and drug discovery — generalization to other scientific domains is unproven
- ×Experimental status means features, access, and availability could change without notice
- ×No API or programmatic access — interaction is through Google's interface only
- ×Requires registration and approval, so access isn't instant
Related comparisons
Updated 2026-07-31. Spec data sourced from official product pages and tracked in our public directory at /tools.