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AI Choice Engine

Model comparison

Base 1 vs GLM 5.3 Flash

Base44 against Z.ai, 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

Z.ai

GLM 5.3 Flash

Balanced · Open weights

AI model capability comparison
SpecificationBase 1GLM 5.3 Flash
ProviderBase44Z.ai
TierBalancedBalanced
Context windowNot verifiedUnverified1.05M
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokensNot verifiedUnverified$0.15
Output / 1M tokensNot verifiedUnverified$0.50
WeightsNot verifiedUnverifiedOpen
ParametersNot verifiedUnverified320B total / 18B active (MoE)
Reasoning levelsNot verifiedUnverifiedlow, high, max
Modalitiestexttext, image, video, file
LicenseNot verifiedUnverifiedMIT
API model idNot verifiedUnverifiedglm-5.3-flash
ReleasedNot verifiedUnverifiedAugust 26, 2026
Artificial Analysis Intelligence Index · source date GLM 5.3 Flash: 2026-10-01Not verifiedUnverified42
Terminal-Bench 2.1 · source date GLM 5.3 Flash: 2026-08Not verifiedUnverified84.3
DeepSWE 1.1 · source date GLM 5.3 Flash: 2026-08Not verifiedUnverified63.4
Humanity's Last Exam · source date GLM 5.3 Flash: 2026-08Not verifiedUnverified55.3

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.

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.

GLM 5.3 Flash: Z.ai API $0.15/$0.50 per MTok; cached input $0.03 and limited-time free cache storage. Hosted docs advertise 1M context and 128K output; the checkpoint config sets 1,048,576 context. An exact endpoint-specific numeric output ceiling is not separately verified. FlashX is a distinct $0.37/$1.25 endpoint; third-party prices require their own checks.

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.

BalancedOpen weightsRecord checked October 2, 2026

GLM 5.3 Flash

Z.ai's multimodal MIT-licensed 320B/18B MoE checkpoint and hosted Flash endpoint, with always-enabled reasoning and publisher coding/agent evaluations.

Best for

  • Cost-efficient long-context
  • Multimodal input
  • Coding agents

Watch out

The 320B weights require substantial hardware; memory depends on quantization, runtime and context. Effort low/high/max defaults to max. Flash is on Coding Plan with three times GLM-5.3 quota; FlashX is not on the plan. Half-point off-peak/weekend use applies to plan quota, not per-token API prices. Publisher evaluation generation budgets are not hosted API output caps.

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 24 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 · GLM 5.3 Flash

Common questions

Base 1 vs GLM 5.3 Flash

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

Should I use Base 1 or GLM 5.3 Flash?
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; GLM 5.3 Flash is a candidate for cost-efficient long-context. 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.

Run the model pickerEstimate stack costAll model comparisons

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