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Tier B — Production
Runs in:CNMade in:China
Z.ai (GLM / Zhipu)

GLM-4.5 Air

Tier B — Production · 131K tokens

Tokonomix Editorial Team·Reviewed by Mes Kalkan··

GLM-4.5 Air is the lightweight sibling of GLM-4.5 — a smaller, cheaper model tuned for speed and volume. It is the GLM you reach for when cost-per-token and throughput matter more than peak quality.

Section 01

Speed analysis

Latency measured across all benchmark runs. P50 (median) and P95 (95th percentile) give a realistic picture of response speed under normal and peak load.

P50 latency (median)P95 latency104 runs
1269882716385239423150008-1509-10ms
Section 02

Quality scores

How this model compares to the rest of the field on each prompt category, from a pairwise fit over the same prompts. The raw judge score sits underneath each number.

49%
Coding
judge mean 93
46%
Creative
judge mean 72
31%
Factual
judge mean 62
15%
Reasoning
judge mean 17

Win rate per category: how often this model beats a field-average model on a prompt from that category. 50% is average, not a failing grade. It is not a percentage of correct answers.

Section 03

Pricing history

Direct provider rates per million tokens, plus a typical-conversation cost estimate.

💰
API rates — GLM-4.5 Air
$0.2000 per 1M input tokens
$1.10 per 1M output tokens
≈ $0.0003 per typical conversation (800 tokens)
Input vs output price (per 1M tokens)
per 1M input tokens$0.2000
per 1M output tokens$1.10

Pricing over time

Input & output per 1M tokens · step-line = price changes

$0.2000

input / 1M

— stable

$1.10

output / 1M

— stable

2026-07-122026-08-092026-09-06
Input
Output
Price change
⟳ synced weekly
Section 04

Tokens per second

Throughput in tokens per second, derived from measured P50 latency. Higher is better; fluctuations track provider-side load.

Throughput (tokens / s)44 / avg 65
15611

Estimated from P50 latency × 200 output tokens — the absolute number depends on this assumption; the trend is what matters.

Section 05

Capabilities

jsonnotes: GLM emits a non-standard reasoning_content field beside content; read content for the answer.toolsreasoning
Section 06

Availability

Availability

No measurements yet

We haven't recorded enough API calls to show availability stats for this model. Data appears once the model starts receiving live traffic.

Section 07

Tokonomix benchmark verdicts

⚖️
Endorsed by 1 judge
Independent LLM judges evaluated this model on our weekly intelligence tests
claude-sonnet-4-567/100 · 31 runs
18 correct3 partial10 wrong58% accuracy
2026-09-06

GLM-4.5 Air maintains stable JSON, tools, and reasoning support

GLM-4.5 Air continues to demonstrate consistent performance across its core capabilities in this benchmark window. The model maintains its support for JSON structured outputs, function calling tools, and reasoning tasks without notable changes in capability availability or feature set. Since no current benchmark window data is provided while previous results exist, this suggests the model remains in a stable operational state with the same feature configuration as the prior assessment period. Users can expect continuity in their existing integrations and workflows that depend on JSON formatting, tool use, and reasoning capabilities. The absence of new benchmark data may indicate either unchanged performance characteristics or a gap in measurement, but the model's documented capabilities remain consistent with its previous evaluation. For applications requiring structured data extraction, API integrations through function calling, or chain-of-thought reasoning, GLM-4.5 Air appears to maintain its established functionality without regression or enhancement during this period. Organizations already using this model should experience stable behavior, while those evaluating it can reference prior benchmark results as representative of current expected performance.

Quality

Latency p50

Test runs

0

Sustained JSON capability Tools support maintained Reasoning capability stable
Section 08

Full model profile

GLM-4.5 Air: the lightweight, low-cost GLM

GLM-4.5 Air is the lightweight sibling of GLM-4.5 — a smaller, cheaper model tuned for speed and volume. It is the GLM you reach for when cost-per-token and throughput matter more than peak quality.

z.ai publishes GLM-4.5 Air at $0.20 per 1M input tokens and $1.10 per 1M output tokens — the cheapest paid GLM tier, well below the standard GLM-4.5.

It advertises a 128K-token context window.

Architecture & training signals

GLM-4.5 Air is the smaller, efficiency-oriented variant of GLM-4.5 from Zhipu AI. It keeps tool-calling and JSON support in a lighter package aimed at throughput and cost, over an OpenAI-compatible endpoint. Like the rest of the GLM line, it returns a non-standard reasoning_content field alongside content in its OpenAI-compatible responses; integrations should read content for the final answer and treat reasoning_content as an optional trace.

Where it shines

  • High-volume, cost-sensitive workloads — classification, extraction, bulk drafting.
  • Lower latency than the full GLM-4.5.
  • The lowest paid GLM price point.

Where it falls short

  • Lower ceiling than the full-size models — not for the hardest reasoning.
  • No Tokonomix benchmark data yet; validate on your tasks.
  • Non-EU hosting.

Real-world use cases

  • Bulk data processing where cost dominates.
  • Interactive features needing fast, cheap responses.
  • First-pass drafting before a stronger model refines.

Tokonomix benchmark snapshot

GLM-4.5 Air is newly registered on Tokonomix and not yet activated, so we have not run it through our weekly intelligence test or speed benchmark. There are no Tokonomix scores to report yet — and we will not invent any.

When it goes live, it enters the same weekly harness as every other model: identical prompts, an independent cross-family judge, and reproducible latency and cost measurements. Until then, treat the pricing and capability notes on this page as the vendor-published starting point, not as measured Tokonomix results.

EU privacy & data residency

GLM-4.5 Air is built by Zhipu AI (z.ai), a China-headquartered lab, and is served from non-EU infrastructure. This is important to state plainly: routing a prompt to this model is not an EU-data-residency or GDPR-sovereign choice, and Tokonomix will never tag it as one.

If your use case requires data to stay within the EU, pick a model whose provider is EU-hosted (for example our OVH or Azure-EU routes) rather than a GLM model. Tokonomix keeps z.ai out of every EU-only / sovereign routing set by design. Use GLM where its capability or price is the priority and cross-border processing is acceptable for that workload.

Verdict & alternatives

GLM-4.5 Air is the GLM economy tier: cheap and quick, with a sensibly lower ceiling. When cost matters even more, the GLM-4.7/4.5 Flash tiers are free; when quality matters more, step up to full GLM-4.5 or above.

Last automated test
Sep 10, 2026 · 08:00 UTC · Speed benchmark
P50 latency
4516 ms
P95 latency
4638 ms
Errors
0 / 6 runs
Last reviewed by Tokonomix Team·July 8, 2026