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ModelCap

GLM 5.3

Current board #7NewAPI only7d #7 → #7

Z.ai·z-ai/glm-5.3

GLM 5.3 is ModelCap current-board rank #7 with Index 78.4 (Measured), from the ModelCap Index as of 19 Aug 2026, 01:59 UTC.

GLM 5.3 listed OpenRouter input price is $1.40 per 1M tokens and listed output price is $4.40 per 1M tokens, from OpenRouter listed prices as of 19 Aug 2026, 01:59 UTC.

GLM 5.3 has a published context limit of 1M tokens in the ModelCap catalogue as of 19 Aug 2026, 01:59 UTC.

GLM 5.3 has 1 published OpenRouter serving endpoint, from OpenRouter as of 19 Aug 2026, 01:59 UTC.

GLM 5.3 weight access is api only, from ModelCap classification of published repository metadata as of 19 Aug 2026, 01:59 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
78.4#7
Measured · 20% support · score interval 78.4–95.2
Evidence as of 18 Aug 2026, 21:19 UTC
Market Gravity
27.2Increased by 2.3
Secondary market signal
Input
$1.40
per 1M tokens
Output
$4.40
per 1M tokens
Context
1M
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Z.AIfp8$1.40$4.401Mfp8100.0%

Other versions (6)

ModelCap Index · Current board

Methodology
78.4
Measured · 1 public benchmark observation across 1 board
Current board
#7
Public rank basis
Measured (measured)
Index support
20.0% · limited
Index interval
78.4–95.2
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
18 Aug 2026, 21:19 UTC
Identity binding
Exact catalogue product · z-ai/z-ai/glm-5.3 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
1
Qualified Index evidence point
86.8
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
86.8
Evidence status
provisional · 50% mass
General preference
86.8
Coding
Agents & tools
Reasoning
Evidence breadth
80%
Evidence coverage
20%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
10.7
Liquidity (providers × uptime)
35.4
Open reach (HF downloads)
Surface (context / tools / modalities)
85.0
Freshness
99.9
  • · OpenRouter popularity #167
  • · 1 live provider
  • · Catalogue: context 1048576, reasoning, tools
  • · First seen 2026-08-18

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
37.6
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
37.9

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
27.2
OpenRouter weekly popularity
#167 of 309

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
10.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.4

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
99.9

Time since first public availability, on a six-month half-life.

Specification

Context window
1M tokens
Max output
131K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.26 / 1M
First seen on OpenRouter
18 Aug 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Not supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Compare GLM 5.3 with

Pick any model

Benchmark leaderboards featuring GLM 5.3

All leaderboards
Public benchmark boards on which GLM 5.3 has a published result
LeaderboardScoreSource rankConfigurationPublished
Artificial Analysis Intelligence Index leaderboardArtificial Analysis59.5#8 of 597intelligence-index18 Aug 2026

Alternatives to GLM 5.3, by the numbers

Ranked neighbours

Models within 3 places of #7 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Z.ai models

The same publisher's other current models with a public Index position.

GLM 5.3: common questions

How does GLM 5.3 rank among AI models?

GLM 5.3 holds ModelCap Index position #7 of 237 ranked language models as of 19 August 2026, with an Index score of 78.4 (interval 78.4–95.2); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does GLM 5.3 cost per 1M tokens?

GLM 5.3 is listed at $1.40 per 1M input tokens and $4.40 per 1M output tokens as of 19 August 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh.

What is the context window of GLM 5.3?

GLM 5.3 has a published context window of 1M tokens (1,048,576) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GLM 5.3 open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve GLM 5.3?

One provider serves GLM 5.3 through OpenRouter as of 19 August 2026: Z.AI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GLM 5.3 been evaluated on?

GLM 5.3 has published results on 1 public board tracked by ModelCap as of 19 August 2026: Artificial Analysis Intelligence Index 59.5 (#8 of 597). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does GLM 5.3 compare with Gemini 3.1 Pro Preview?

GLM 5.3 ranks #7 (Index 78.4) and Gemini 3.1 Pro Preview ranks #8 (Index 78.3) on the ModelCap Index as of 19 August 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was GLM 5.3 released?

GLM 5.3 first appeared in the catalogue on 18 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.