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ModelCap

GLM 4.5 Air

Current board #113Arena #182Official publisher releaseOpen weights7d #106 → #113

Z.ai·z-ai/glm-4.5-air

GLM 4.5 Air is ModelCap current-board rank #113 with Index 45.7 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

GLM 4.5 Air listed OpenRouter input price is $0.13 per 1M tokens and listed output price is $0.85 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

GLM 4.5 Air has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

GLM 4.5 Air has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

GLM 4.5 Air weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
45.7#113
Measured · 63% support · score interval 40.8–50.6
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
28.0Decreased by 0.3
Secondary market signal
Input
$0.13
per 1M tokens
Output
$0.85
per 1M tokens
Context
131K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitabf16Cheapest$0.13$0.85131Kbf1699.59%
SiliconFlowfp8$0.14$0.86131Kfp8100.0%
Z.AIfp8$0.20$1.10131Kfp898.46%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
novita
live
$0.13$0.85131K625 ms67.3 tok/stools
zai-org
live · model author
1701 ms77.6 tok/stools

Reported evaluation leads (3)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
none
8.12
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
71.7172
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
81.4
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
45.7
Measured · 2 public benchmark observations across 2 boards
Current board
#113
Public rank basis
Measured (measured)
Index support
63.2% · strong
Index interval
40.8–50.6
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · z-ai/z-ai/glm-4.5-air · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata zai-org/GLM-4.5-Air@a24ceef6ce4f3536971efe9b778bdaa1bab18daa (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
45.7
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
45.7
Evidence status
confirmed · 77% mass
General preference
45.9
Coding
44.0
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
12.2
Liquidity (providers × uptime)
57.3
Open reach (HF downloads)
39.9
Surface (context / tools / modalities)
70.2
Freshness
19.9
  • · OpenRouter popularity #159
  • · 3 live providers
  • · HF 30d downloads 90065
  • · Catalogue: context 131072, reasoning, tools
  • · First seen 2025-07-25

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
83.2
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
90.1
Evaluation provenance
53.3

Missing: artifactReproducibility.base-lineage, 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
28.0
OpenRouter weekly popularity
#159 of 322

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

Status
Ranked
Source
LMArena
Official rank
#182 of 402
Rating
1373.2
95% confidence interval
1369–1377
Votes
30K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
12.2

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
57.3

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

Open reach15%
39.9

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

Freshness5%
19.9

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

Specification

Context window
131K tokens
Max output
98K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.025 / 1M
First seen on OpenRouter
25 Jul 2025
Knowledge cutoff
2024-12-31

Capabilities

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

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
a24ceef6ce4f
Parameters
110.5B
Architecture
Glm4MoeForCausalLM
Model type
glm4_moe
Hugging Face downloads (30d)
90K
Downloads (all time)
4.7M
Likes
638
Repository updated
11 Aug 2025, 13:25 UTC

Compare GLM 4.5 Air with

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Benchmark leaderboards featuring GLM 4.5 Air

All leaderboards
Public benchmark boards on which GLM 4.5 Air has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14271419–1435#176 of 397Default13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis46.5%#216 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GLM-4.5-Air":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis7.0%#343 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM-4.5-Air":reasoning=true5 Sept 2026

Alternatives to GLM 4.5 Air, by the numbers

Ranked neighbours

Models within 3 places of #113 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 4.5 Air: common questions

How does GLM 4.5 Air rank among AI models?

GLM 4.5 Air holds ModelCap Index position #113 of 248 ranked language models as of 22 September 2026, with an Index score of 45.7 (interval 40.8–50.6); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does GLM 4.5 Air cost per 1M tokens?

GLM 4.5 Air is listed at $0.13 per 1M input tokens and $0.85 per 1M output tokens as of 22 September 2026 across 3 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.685 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of GLM 4.5 Air?

GLM 4.5 Air has a published context window of 131K tokens (131,072) and a maximum output of 98K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GLM 4.5 Air open-weight?

Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is zai-org/GLM-4.5-Air on Hugging Face.

Which API providers serve GLM 4.5 Air?

3 providers serve GLM 4.5 Air through OpenRouter as of 22 September 2026: Novita, SiliconFlow and Z.AI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GLM 4.5 Air been evaluated on?

GLM 4.5 Air has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1427 (#176 of 397), AA τ²-Bench Telecom 46.5% (#216 of 436) and AA Humanity's Last Exam 7.0% (#343 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does GLM 4.5 Air compare with gemma 4 E4B it?

GLM 4.5 Air ranks #113 (Index 45.7) and gemma 4 E4B it ranks #112 (Index 45.8) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was GLM 4.5 Air released?

GLM 4.5 Air first appeared in the catalogue on 25 Jul 2025, with a published knowledge cutoff of 2024-12-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.