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ModelCap

GLM 4.5 Air

Arena #199Official publisher releaseOpen weights6.9d #141 → #146

Z.ai·#146 of 352 on the current board·cheaper than #143 GLM 4.6V

GLM 4.5 Air is a language model from Z.ai. It ranks #146 of 352 on ModelCap's current board, with an Index score of 45.2, measured on 2 public benchmarks. Its score range of 40.3–50.1 spans positions #130–#157. It is listed at $0.13 per million input tokens and $0.85 per million output tokens across 3 providers. It reads up to 131K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
45.2#146
Measured on 2 public benchmarks · range 40.3–50.1
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
34.0Decreased by 0.2
Secondary market signal
Input
$0.13
per 1M tokens
Output
$0.85
per 1M tokens
Context
131K
tokens
Providers
3
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitabf16Cheapest$0.13$0.85131Kbf16100.0%
SiliconFlowfp8$0.14$0.86131Kfp8100.0%
Z.AIfp8$0.20$1.10131Kfp8100.0%

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$0.85131K876 ms97.3 tok/stools
zai-org
live · model author
———532 ms103.6 tok/stools

Reported evaluation leads (4)

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
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
—57.6
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—81.4
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
45.2
Measured on 2 public benchmarks
Current board
#146 of 352
Score range
40.3–50.1
Rank range
#130–#157
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
63.2% · strong
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
45.2
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
45.2
Evidence status
confirmed · 77% mass
General preference
45.0
Coding
45.9
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
9.9
Liquidity (providers × uptime)
65.7
Open reach (HF downloads)
75.0
Surface (context / tools / modalities)
70.2
Freshness
16.8
  • · OpenRouter popularity #190
  • · 3 live providers
  • · HF 30d downloads 1280676
  • · 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
83.3
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
90.3
Evaluation provenance
53.4

Not yet published: the base model it derives from, pinned evaluation dataset versions.

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

Market activity

Venue coverage
Market Gravity
34.0
OpenRouter weekly popularity
#190 of 339

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
#199 of 419
Rating
1373.0
95% confidence interval
1369–1377
Votes
31K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
9.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
65.7

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

Open reach15%
75.0

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

Freshness5%
16.8

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

Specification

Model ID
z-ai/glm-4.5-air
Context window
131K tokens
Declared output cap
98K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

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)
1.3M
Downloads (all time)
6.4M
Likes
649
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 text leaderboardArena (LMArena)13731369–1377#199 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)14261419–1434#194 of 414Default28 Oct 2026

Alternatives to GLM 4.5 Air, by the numbers

Ranked neighbours

Models within 3 places of #146 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 #146 of 352 ranked language models as of 6 November 2026, with an Index score of 45.2 (interval 40.3–50.1); 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 6 November 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). The snapshot lists a 98,304 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context 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 6 November 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 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1373 (#199 of 419) and Arena coding 1426 (#194 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does GLM 4.5 Air compare with GLM 4.6V?

GLM 4.5 Air ranks #146 (Index 45.2) and GLM 4.6V ranks #143 (Index 46.6) on the ModelCap Index as of 6 November 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.