Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Z.ai: GLM 4.5 Air vs GLM-5.2 benchmark

Name: Z.ai: GLM 4.5 Air vs GLM-5.2 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Z.ai: GLM 4.5 Air (Zhipu) and GLM-5.2 (Zhipu) using the latest snapshots we have as of Aug 16, 2026. Z.ai: GLM 4.5 Air wins on output price at $0.85/1M. GLM-5.2 has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Zhipu

Z.ai: GLM 4.5 Air

Auto-discovered from OpenRouter (z-ai/glm-4.5-air). Preview until a second source matches.

$0.85/1M out

Zhipu

GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

Elo 1,492$0.9680000000000001/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Z.ai: GLM 4.5 Air (2)vsGLM-5.2 (8)

Z.ai: GLM 4.5 Air: 2W (20%)Overall: GLM-5.2GLM-5.2: 8W (80%)

← Z.ai: GLM 4.5 AirGLM-5.2 →

GLM-5.2 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,492

Coding Elo

—vs1,504

SWE-bench

—vs69.3%

LiveBench

—vs65.2%

GPQA Diamond

—vs79.5%

Z.ai: GLM 4.5 Air: 0WGLM-5.2: 5W

GLM-5.2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs84 tok/s

Time to first token

—vs270 ms

Z.ai: GLM 4.5 Air: 0WGLM-5.2: 2W

Z.ai: GLM 4.5 Air (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.85/1Mvs$0.97/1M

Input price

$0.13/1Mvs$0.31/1M

Context window

131kvs1M

Z.ai: GLM 4.5 Air: 2WGLM-5.2: 1W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGLM-5.2 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Z.ai: GLM 4.5 Air

$0.12/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,492

Code Elo

High is better

—

Code EloHigh is better

1,504

LiveBench

High is better

—

LiveBenchHigh is better

65.2%

SWE-bench

High is better

—

SWE-benchHigh is better

69.3%

GPQA

High is better

—

GPQAHigh is better

79.5%

TTFT

Low is better

—

TTFTLow is better

270 ms

Speed

High is better

—

SpeedHigh is better

84 tok/s

In $

Low is better

+137%$0.13/1M

In $Low is better

$0.31/1M

Out $

Low is better

+14%$0.85/1M

Out $Low is better

$0.97/1M

Context

High is better

131k

ContextHigh is better

1M+700%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 32% with Z.ai: GLM 4.5 Air

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Z.ai: GLM 4.5 Air$17.30 / mo

In: $4.55Out: $12.75

GLM-5.2$25.30 / mo

In: $10.78Out: $14.52

Estimated Cost Delta

Z.ai: GLM 4.5 Air is estimated to save $8.00/month ($96/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Z.ai: GLM 4.5 Air:Pick Z.ai: GLM 4.5 Air when you are optimizing output cost.
2
GLM-5.2:Pick GLM-5.2 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatZ.ai: GLM 4.5 Air

Lower output list price ($0.85/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Z.ai: GLM 4.5 Air	Lower output list price ($0.85/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.2	GLM-5.2 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

newsAug 16, 2026

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 undercuts GLM 5V Turbo by 74.2% on input at $0.31/1M, with 1,492 Elo and 69.3% SWE-bench in dated 2026 snapshots.

launchJun 18, 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.

Community Sentiment

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LIVE

Zhipu

Z.ai: GLM 4.5 Air

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.85/1M

Zhipu

GLM-5.2

Elo 1,492

LiveBench65.2%

SWE-bench69.3%

Speed84 tok/s

Output cost$0.97/1M

Frequently Asked Questions

Which is better overall, Z.ai: GLM 4.5 Air or GLM-5.2?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Z.ai: GLM 4.5 Air or GLM-5.2?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Z.ai: GLM 4.5 Air output tokens are $0.85/1M versus $0.97/1M. Input prices and retry rates still move the real bill.
Which is faster, Z.ai: GLM 4.5 Air or GLM-5.2?: We do not have TTFT for both models.
Which has the larger context window?: GLM-5.2 accepts 1M tokens versus 131k.
Can I self-host either model?: GLM-5.2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Z.ai: GLM 4.5 Air and GLM-5.2 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Z.ai: GLM 4.5 Air matchups →|All GLM-5.2 matchups →

GLM-5.2 vs GLM-5.3 (next glm)Claude Opus 4.5 vs GLM-5.2 Claude Opus 4.6 vs GLM-5.2 Claude Sonnet 4.5 vs GLM-5.2 GPT-5 vs GLM-5.2 Gemini 3 Pro vs GLM-5.2

Z.ai: GLM 4.5 Air vs GLM-5.2 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Z.ai: GLM 4.5 Air (2)vsGLM-5.2 (8)

Z.ai: GLM 4.5 Air: 2W (20%)Overall: GLM-5.2GLM-5.2: 8W (80%)

← Z.ai: GLM 4.5 AirGLM-5.2 →

GLM-5.2 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,492

Coding Elo

—vs1,504

SWE-bench

—vs69.3%

LiveBench

—vs65.2%

GPQA Diamond

—vs79.5%

Z.ai: GLM 4.5 Air: 0WGLM-5.2: 5W

GLM-5.2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs84 tok/s

Time to first token

—vs270 ms

Z.ai: GLM 4.5 Air: 0WGLM-5.2: 2W

Z.ai: GLM 4.5 Air (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.85/1Mvs$0.97/1M

Input price

$0.13/1Mvs$0.31/1M

Context window

131kvs1M

Z.ai: GLM 4.5 Air: 2WGLM-5.2: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatZ.ai: GLM 4.5 Air

Lower output list price ($0.85/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Z.ai: GLM 4.5 Air	Lower output list price ($0.85/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.2	GLM-5.2 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Z.ai: GLM 4.5 Air or GLM-5.2?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Z.ai: GLM 4.5 Air or GLM-5.2?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Z.ai: GLM 4.5 Air output tokens are $0.85/1M versus $0.97/1M. Input prices and retry rates still move the real bill.

Which is faster, Z.ai: GLM 4.5 Air or GLM-5.2?

We do not have TTFT for both models.

Which has the larger context window?

GLM-5.2 accepts 1M tokens versus 131k.

Can I self-host either model?

GLM-5.2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Z.ai: GLM 4.5 Air and GLM-5.2 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Z.ai: GLM 4.5 Air

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Z.ai: GLM 4.5 Air

GLM-5.2

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Z.ai: GLM 4.5 Air

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Z.ai: GLM 4.5 Air

GLM-5.2

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons