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AI Choice Engine

Model comparison

Base 1 vs GPT-6.1 Sol

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

Recorded profile verification October 2, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below

Base44

Base 1

Balanced

vs

OpenAI

GPT-6.1 Sol

Balanced

AI model capability comparison
SpecificationBase 1GPT-6.1 Sol
ProviderBase44OpenAI
TierBalancedBalanced
Context windowNot verifiedUnverified1.05M
Max outputNot verifiedUnverified128K
Input / 1M tokensNot verifiedUnverified$2
Output / 1M tokensNot verifiedUnverified$10
WeightsNot verifiedUnverifiedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelsNot verifiedUnverifiedlow, medium, high, xhigh, max
Modalitiestexttext, image
API model idNot verifiedUnverifiedgpt-6.1-sol
ReleasedNot verifiedUnverifiedSeptember 29, 2026
Artificial Analysis Intelligence Index [max] · source date GPT-6.1 Sol: 2026-10-01Not verifiedUnverified52

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.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

  • Source date2026-10-01
    Artificial Analysis (GPT-6.1 Sol (max))

    Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.

    Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check the cited source and its date.

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.

GPT-6.1 Sol: Standard $2/$10 per million tokens up to 272K input; cached input $0.10 and cache writes $2.50. Above 272K, the full request costs $4/$15 ($0.20 cached, $5 cache writes). Batch/Flex are half Standard; Fast is twice Standard. Regional/FedRAMP processing adds 10% where eligible; Fast is unavailable with EU data residency. No none/minimal reasoning. Use Responses for tools; Chat Completions has no tool calling.

BalancedRecord checked October 2, 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

No direct inference endpoint, stable API ID, downloadable checkpoint/license, exact context/output limits, parameter count or comparable numeric benchmark is verified. The founder announcement and product changelog do not establish a reliable day-level release date in captured page metadata. The manual model-selection guide requires Builder or higher, while the changelog uses broader all-plan language; verify account access. Publisher fit claims are not independent quality results.

BalancedRecord checked October 1, 2026

GPT-6.1 Sol

OpenAI’s newer Sol model for coding, computer use and professional work, with the same base token price as GPT-6 Sol and lower cached-input pricing.

Best for

  • Agentic coding
  • Computer use
  • Professional work

Watch out

Compare quality on your own tasks. Reasoning starts at low; none and minimal are unsupported. Long prompts above 272K increase the rate for the whole request.

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.

Run the model picker

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.
  • 0/5 core specs verified on both sides — Not published for at least one side: context window, max output, release date, 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 25 days 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 · GPT-6.1 Sol

Common questions

Base 1 vs GPT-6.1 Sol

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

Should I use Base 1 or GPT-6.1 Sol?
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; GPT-6.1 Sol is a candidate for agentic coding. 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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