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AI Choice Engine

Model comparison

Base 1 vs DeepSeek R1

Base44 against DeepSeek, compared on context, price, and attributed benchmark results.

Base 1: profile checked October 25, 2026DeepSeek R1: profile checked October 25, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below

Base44

Base 1

Balanced

vs

DeepSeek

DeepSeek R1

Balanced · Open weights

AI model capability comparison
SpecificationBase 1DeepSeek R1
ProviderBase44DeepSeek
TierBalancedBalanced
Context windowNot verifiedUnverified128K
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokensNot verifiedUnverifiedNot verifiedUnverified
Output / 1M tokensNot verifiedUnverifiedNot verifiedUnverified
WeightsNot verifiedUnverifiedOpen
ParametersNot verifiedUnverified671B total / 37B active (MoE)
Reasoning levelsNot verifiedUnverifiedNot verifiedUnverified
Modalitiestexttext
LicenseNot verifiedUnverifiedMIT
ReleasedJune 29, 2026January 20, 2025

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Pricing tiers

Base 1: Uses Base44 message credits. Model-specific cost is shown under Credits Used per message; no direct token-rate API price is verified.

DeepSeek R1: No current first-party API. The original deepseek-reasoner alias moved to R1-0528 on May 28, 2025 and V3.1 on August 21, 2025, before the alias retired July 24, 2026 at 15:59 UTC. Historical launch tariffs are not verified here; hosts charge their own rates for the MIT weights.

BalancedRecord checked October 25, 2026

Base 1

Base44's first in-house model is offered in its app-building chat, with the publisher describing it as trained on platform building patterns.

Best for

  • Evaluating app-building prompts within Base44
  • Comparing builder output in an eligible Base44 account

Watch out

The current founder article explicitly says Published June 29, 2026 and 'Today, we announced' Base 1; this establishes the announcement date, not a universal account rollout date. No direct inference endpoint, stable API ID, downloadable checkpoint/licence, exact context/output, parameter count or comparable numeric benchmark is verified. The current manual-selection guide requires Builder or higher and explicitly excludes Base 1 from the effort selector. Per-message Credits Used is authoritative; in-app agent integration-credit prices are a different billing surface. The historical product changelog was not successfully re-fetched, so no broader all-plan availability is asserted.

BalancedOpen weightsRecord checked October 25, 2026

DeepSeek R1

DeepSeek R1 is the January 2025 open-weight (MIT) reasoning model — now open weights only, with no first-party API.

Best for

  • Harder reasoning on a budget
  • Open-weight deployments
  • Agentic coding

Watch out

Original January R1 MIT weights remain available. The first-party alias moved to R1-0528 on May 28, 2025 and later to other models before its July 24, 2026 retirement. Pin the exact checkpoint; no current first-party tariff, hard native output cap or selectable hosted effort menu is established for this original profile. Distilled Qwen/Llama variants have additional base-model licence terms.

When the cheaper one wins

One of these rows is missing a verified output price, so this page will not name a cheaper winner. Run the model picker against the actual job instead of guessing.

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Evidence confidence: Insufficient data

How strong and complete the evidence behind this comparison is — not a prediction of which model is better. Hard limitations apply: missing pricing; evidence too sparse.

  • Pricing incomplete — No verified token pricing for Base 1 and DeepSeek R1.
  • 1/5 core specs verified on both sides — Not published for at least one side: context window, max output, parameter count, reasoning levels.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 1 day ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Base 1 · DeepSeek R1

Common questions

Base 1 vs DeepSeek R1

Answered from the verified figures on this page rather than general guidance.

Should I use Base 1 or DeepSeek R1?
Both are classified in our balanced tier; this editorial grouping does not imply equal capability. Base 1 is a candidate for evaluating app-building prompts within base44; DeepSeek R1 is a candidate for harder reasoning on a budget. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

These two models match on every verified catalog figure — the decision comes down to provider preference, availability, and workload fit rather than published numbers.

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