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AI Choice Engine

Model comparison

Base 1 vs GPT-5.6 Terra

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-5.6 Terra

Balanced

AI model capability comparison
SpecificationBase 1GPT-5.6 Terra
ProviderBase44OpenAI
TierBalancedBalanced
Context windowNot verifiedUnverified1.05M
Max outputNot verifiedUnverified128K
Input / 1M tokensNot verifiedUnverified$2
Output / 1M tokensNot verifiedUnverified$12
WeightsNot verifiedUnverifiedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelsNot verifiedUnverifiednone, low, medium, high, xhigh, max
Modalitiestexttext, image
API model idNot verifiedUnverifiedgpt-5.6-terra
ReleasedNot verifiedUnverifiedJuly 9, 2026
Artificial Analysis Intelligence Index [max] · source date GPT-5.6 Terra: 2026-10-01Not verifiedUnverified42
Terminal-Bench 2.1 · source date GPT-5.6 Terra: 2026-07-09Not verifiedUnverified87.4
LiveBench · source date GPT-5.6 Terra: 2026-09-05Not verifiedUnverified77.9

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-5.6 Terra (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.

  • Source date2026-09-05
    LiveBench official leaderboard (benchmark-owned), max effort

    Contamination-resistant general capability across reasoning, coding, math, data analysis, and language, with monthly question refreshes.

    Comparable with caveatCompare only observations confirmed to use the same exact question-set version. Date proximity (including within one month) does not establish identical questions; when the version is unavailable, treat the scores as unaligned.

  • Source date2026-07-09
    OpenAI GPT-5.6 launch table (vendor-reported; effort and experiment date unspecified) (Vendor launch table; complete common run settings unverified)

    Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.

    Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.

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-5.6 Terra: Launch $2.50/$15, reduced to $2/$12 on July 30. Above 272K input the full request bills $4/$18. Cached input $0.20; cache writes $2.50 at short context. Batch $1/$6 at short context. Regional/FedRAMP processing adds 10% where eligible.

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-5.6 Terra

OpenAI’s middle GPT-5.6 tier for balancing intelligence and cost, with text/image input and a 1.05M-token context.

Best for

  • Cost-sensitive production
  • Mixed reasoning workloads
  • High-volume agents

Watch out

GPT-6.1 Sol lists the same $2 input price and a lower $10 output price than Terra’s $12. Compare representative tasks rather than infer quality from token prices or one index. Terra remains listed in the API model catalog.

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.

Common questions

Base 1 vs GPT-5.6 Terra

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

Should I use Base 1 or GPT-5.6 Terra?
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-5.6 Terra is a candidate for cost-sensitive production. 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.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.