AI Tool Profile
DeepSeek-R1
A released reasoning-model family with downloadable weights.
Before you buy
Best for: Technical creators evaluating the demonstrated reasoning model on bounded text or code tasks.
Price: Canada/CAD: C$0 released weights; inference separate
Included: The official model repository provides weights, inference guidance and MIT licensing for the released R1 materials.
Main limits: Full-model hosting is hardware-intensive. Distilled variants can have different upstream terms; current hosted services may use newer models.
What Kingy showed: The recording tries a marble-under-a-glass question and constrained apple-ending sentences in ChatLLM, then compares outputs with o1.
Buying details checked 2026-10-22 with region and currency stated above. Historical demonstrations and the broader fact ledger keep their own dates.
Check official plans · See the demonstration and disclosure · Compare these workflows
Coverage describes this profile, not a product score or a current price guarantee.
Verification & Sources
- Evidence state
- Recheck due
- Source links
- 2
- Freshness
- Needs recheck: checked June 8, 2026
- Last updated
- October 22, 2026
What this evidence state means
- Definition
- The claim was previously checked, but its review window expired or a material change may have invalidated it.
- Required provenance
- The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
- Owner
- Kingy freshness queue owner and assigned editorial reviewer
- Freshness rule
- This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
- Disputes and corrections
- Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.
Key source checks
Suggest a correction
Which plan is worth considering
Canada/CAD: C$0 released weights; inference separate. The official model repository provides weights, inference guidance and MIT licensing for the released R1 materials. This historical small sample is not a general reasoning benchmark or a current DeepSeek API reliability test. The model shown must not be relabeled as a later generation.
Limits that affect the purchase
Full-model hosting is hardware-intensive. Distilled variants can have different upstream terms; current hosted services may use newer models. Weights have no subscription fee; third-party chat, API calls and self-hosting resources are separate. Local inference and hosted APIs depend on the exact model and provider; the old ChatLLM price is not a current R1 API rate.
What the existing demonstration shows
The recording tries a marble-under-a-glass question and constrained apple-ending sentences in ChatLLM, then compares outputs with o1. The retained recording was published 2025-01-22T02:24:15-08:00. Its public description and chapters support this account; no new transcript or frame audit, product test, purchase or benchmark was performed. Current offers are researched separately. Check the recording for the exact steps and commercial context. See the retained Kingy demonstration.
Sources and buying-review date
Buying details checked October 22, 2026. Plan research uses current official sources; demonstration descriptions use the retained Kingy record and any captured creator chapters. No new subscription, paid generation or checkout was performed. The buying-review date does not renew every claim in the broader facts ledger.
Check official plans · Compare related workflows
Earlier profile and dated source history
The earlier record below keeps its own dates and scope.
DeepSeek released DeepSeek-R1 and DeepSeek-R1-Zero, open reasoning models with distilled variants based on Qwen and Llama models.
The Kingy Brief
Get The Kingy Brief.
AI changes, original tests and one practical thing to try. Fridays at 09:00 Vancouver time.
Free · Double opt-in · Unsubscribe anytime
Sign up for The Kingy Brief on Beehiiv.
Signup help and newsletter schedule
Signup form provided by Beehiiv. After submitting, check your inbox for "Confirm your subscription to The Kingy Brief" and open its confirmation link. Check Spam or Promotions if you cannot find it.
Fridays at 09:00 Vancouver time: source-checked AI changes, original tests and one practical thing to try. We skip a week when there is not enough verified material. Free. Unsubscribe anytime.
Alternatives
Tool Links
Related Kingy Links
Launch History
DeepSeek-R1 reasoning model
DeepSeek released DeepSeek-R1 and DeepSeek-R1-Zero, open reasoning models with distilled variants based on Qwen and Llama models.
- Launch readiness
- 7.5 / 10
- Demo evidence
- Not scored yet
- Creator-story fit
- Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Evidence inputs: Reviewed demo, category, audience, editorial, traction, pricing, API, and open-weight fields.
- Scale
- 0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
- Assigned by
- Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
- Rubric and check date
- Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
- Confidence and missing data
- Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
- Freshness
- Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
- Disputes
- Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
DeepSeek released DeepSeek-R1 and R1-Zero, open reasoning models with distilled variants based on Qwen and Llama, under an MIT-licensed repository (github.com). By the record's…
Kingy coverage
Kingy AI articles about DeepSeek-R1, newest first.
- NewsPushing the Frontier: OpenAI’s o3-mini and the Strategic Influence of DeepSeek R1
- NewsDeepSeek R1 Shakes the AI Industry: The Threat of Commoditization to Future Foundation Models
- NewsThe Blue Whale of Open Weights: How DeepSeek R1 and Others Are Commoditizing the Foundation Layer of AI
- NewsAMD Reveals How to Optimize Deepseek R1 on Ryzen AI & Radeon GPUs for Maximum Performance
- NewsDeepSeek R1 Explodes Onto the Scene—And So Does Jevon’s Paradox
- NewsDeepSeek R1’s Seamless Integration into ChatLLM Teams: A High-Octane, High-Perplexity Exploration
- NewsDeepseek R1 vs. OpenAI o3: Do These AI Models Generalize OOD Data