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Z.ai GLM 5.3

Z.ai (Zhipu AI)family · GLM5.3docs.mistral.ai/models/zai-glm-5-3

A third-party open source text model from Z.ai with a 1M-token context window.

Open in Graph
data quality72

Updated 3 h ago · first seen 16 Sept 2026

model_01M2NZB1F0C34QESGWTNV362CF

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recordedofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
1
API aliases
NoneIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Version

Source:Mistral AI docsT1observed 3 h agohigh

Official page
docs.mistral.ai/models/zai-glm-5-3

Source:Mistral AI docsT1observed 3 h agohigh

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Yes

    Mistral AI docs · T1

  • Structured output

    Yes

    Mistral AI docs · T1

  • Reasoning

    Unavailable

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Mistral AI docsT1observed 3 h agohigh

Providers & Pricing1

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MOutput / 1MNative unitsStatusObservedSource
Mistral AI La Plateformecheapest output—eur_input_per_mtok=1.19eur_output_per_mtok=3.74active3 h agosince 16 Sept 2026docs.mistral.aiT1

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Price history starts with the first observation — no change recorded yet for this side (1 row).

  • Mistral AI La Plateformefirst observed $4.416 Sept 2026

Input price · USD / 1M tokens 1 provider

Price history starts with the first observation — no change recorded yet for this side (1 row).

  • Mistral AI La Plateformefirst observed $1.416 Sept 2026

Versions & Artifacts0

Version history

Context windowfirst observation only

16 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline2

Full timeline →
  • Listed by providerModelZ.ai GLM 5.3Z.ai (Zhipu AI)

    Mistral AI La Plateforme lists Z.ai GLM 5.3 at $1.4 in / $4.4 out per 1M tokens

    mistral
    docs.mistral.ai
  • New modelModelZ.ai GLM 5.3Z.ai (Zhipu AI)

    New model: Z.ai GLM 5.3 (Z.ai (Zhipu AI))

    mistral
    docs.mistral.ai

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
1 claims · 1 propertiesShow all properties

Official pageofficial_url1

Claim history for Official page
ValueValid from → toStatusSourceConfidenceExtractor
https://docs.mistral.ai/models/zai-glm-5-3 → currentcurrentMistral AI docsT1highdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

9

Source tiers

T19

Freshest observation

3 h ago

Conflicts

None

Source documents 2

Source documents
SourceDocumentTypeTierLast observedSnapshots
Mistral AI docsdocs.mistral.ai/models/zai-glm-5-3 model_pageT1· Official3 h ago1
Mistral AI docsdocs.mistral.ai/models model_docsT1· Official3 h ago3

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (72/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →