Pairwise benchmark snapshot · Aug 16, 2026

GLM-5.2 vs GLM-5.3 benchmark

Name: GLM-5.2 vs GLM-5.3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GLM-5.2 (Zhipu) and GLM-5.3 (Zhipu) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GLM-5.3 is ahead by 66 points (1,558 vs 1,492; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, GLM-5.3 resolves 76.4% versus 69.3% (seed-bootstrap (Aug 16, 2026)). GLM-5.3 streams faster (90 tok/s) while GLM-5.2 is the cheaper output token ($0.97/1M). 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

Zhipu

GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

Elo 1,492$0.9680000000000001/1M out

Zhipu

GLM-5.3

Z.ai Aug 14 2026 post-train of the GLM-5.2 744B base. Coding-plan live; open weights promised after a two-week safety review (z.ai/blog/glm-5.3).

Elo 1,558$1.8/1M 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.

GLM-5.2 (3)vsGLM-5.3 (7)

GLM-5.2: 3W (30%)Overall: GLM-5.3GLM-5.3: 7W (70%)

← GLM-5.2GLM-5.3 →

GLM-5.3 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs1,558

Coding Elo

1,504vs1,586

SWE-bench

69.3%vs76.4%

LiveBench

65.2%vs70.8%

GPQA Diamond

79.5%vs83.2%

GLM-5.2: 0WGLM-5.3: 5W

GLM-5.3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs90 tok/s

Time to first token

270 msvs255 ms

GLM-5.2: 0WGLM-5.3: 2W

GLM-5.2 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.97/1Mvs$1.8/1M

Input price

$0.31/1Mvs$0.5/1M

Context window

1Mvs200k

GLM-5.2: 3WGLM-5.3: 0W

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-5.3 4/6

Preference Elo

GLM-5.3

66 pts advantage

Throughput Speed

GLM-5.3

6 tok/s faster

Price Efficiency

GLM-5.2

$0.83/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,492

EloHigh is better

1,558+4%

Code Elo

High is better

1,504

Code EloHigh is better

1,586+5%

LiveBench

High is better

65.2%

LiveBenchHigh is better

70.8%+9%

SWE-bench

High is better

69.3%

SWE-benchHigh is better

76.4%+10%

GPQA

High is better

79.5%

GPQAHigh is better

83.2%+5%

TTFT

Low is better

270 ms

TTFTLow is better

255 ms+6%

Speed

High is better

84 tok/s

SpeedHigh is better

90 tok/s+7%

In $

Low is better

+62%$0.31/1M

In $Low is better

$0.5/1M

Out $

Low is better

+86%$0.97/1M

Out $Low is better

$1.8/1M

Context

High is better

+424%1M

ContextHigh is better

200k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 43% with GLM-5.2

Monthly Volume50M tokens/mo

Quick Presets:

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

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

GLM-5.2$25.30 / mo

In: $10.78Out: $14.52

GLM-5.3$44.50 / mo

In: $17.50Out: $27.00

Estimated Cost Delta

GLM-5.2 is estimated to save $19.20/month ($230/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GLM-5.3:Pick GLM-5.3 when repo-level coding accuracy is the constraint.
2
GLM-5.2:Pick GLM-5.2 when you are optimizing output cost.
3
GLM-5.3:Pick GLM-5.3 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGLM-5.3

Higher SWE-bench (76.4%).

High-volume chatGLM-5.2

Lower output list price ($0.97/1M).

Voice / low-latency UIGLM-5.3

Lower TTFT (255 ms).

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.3

Both accept images. Defaulting to the higher-Elo side (GLM-5.3).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GLM-5.3	Higher SWE-bench (76.4%).
High-volume chat	GLM-5.2	Lower output list price ($0.97/1M).
Voice / low-latency UI	GLM-5.3	Lower TTFT (255 ms).
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.3	Both accept images. Defaulting to the higher-Elo side (GLM-5.3).

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.

launchAug 14, 2026

GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

Coding-plan live; open weights promised after a two-week safety review. Newest Zhipu row.

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

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/glm-5-2-vs-glm-5-3/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Zhipu

GLM-5.2

Elo 1,492

LiveBench65.2%

SWE-bench69.3%

Speed84 tok/s

Output cost$0.97/1M

Zhipu

GLM-5.3

Elo 1,558

LiveBench70.8%

SWE-bench76.4%

Speed90 tok/s

Output cost$1.8/1M

Frequently Asked Questions

Which is better overall, GLM-5.2 or GLM-5.3?: GLM-5.3 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GLM-5.2 or GLM-5.3?: GLM-5.3 leads SWE-bench at 76.4% vs 69.3%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GLM-5.2 output tokens are $0.97/1M versus $1.8/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5.2 or GLM-5.3?: GLM-5.3 has the lower time-to-first-token (255 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GLM-5.2 accepts 1M tokens versus 200k.
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. GLM-5.2 and GLM-5.3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GLM-5.2 matchups →|All GLM-5.3 matchups →

Gemini 2.0 Flash Thinking vs GLM-5.2 DeepSeek V4 Flash vs GLM-5.2 Gemini 3 Flash vs GLM-5.2 Qwen QwQ 32B vs GLM-5.2 MiniMax M2.5 vs GLM-5.2 Gemini 3.6 Flash vs GLM-5.2

GLM-5.2 vs GLM-5.3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GLM-5.2 (3)vsGLM-5.3 (7)

GLM-5.2: 3W (30%)Overall: GLM-5.3GLM-5.3: 7W (70%)

← GLM-5.2GLM-5.3 →

GLM-5.3 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs1,558

Coding Elo

1,504vs1,586

SWE-bench

69.3%vs76.4%

LiveBench

65.2%vs70.8%

GPQA Diamond

79.5%vs83.2%

GLM-5.2: 0WGLM-5.3: 5W

GLM-5.3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs90 tok/s

Time to first token

270 msvs255 ms

GLM-5.2: 0WGLM-5.3: 2W

GLM-5.2 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.97/1Mvs$1.8/1M

Input price

$0.31/1Mvs$0.5/1M

Context window

1Mvs200k

GLM-5.2: 3WGLM-5.3: 0W

Recommended Workload Routing

Repo / coding agentsGLM-5.3

Higher SWE-bench (76.4%).

High-volume chatGLM-5.2

Lower output list price ($0.97/1M).

Voice / low-latency UIGLM-5.3

Lower TTFT (255 ms).

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.3

Both accept images. Defaulting to the higher-Elo side (GLM-5.3).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GLM-5.3	Higher SWE-bench (76.4%).
High-volume chat	GLM-5.2	Lower output list price ($0.97/1M).
Voice / low-latency UI	GLM-5.3	Lower TTFT (255 ms).
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.3	Both accept images. Defaulting to the higher-Elo side (GLM-5.3).

Frequently Asked Questions

Which is better overall, GLM-5.2 or GLM-5.3?

GLM-5.3 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GLM-5.2 or GLM-5.3?

GLM-5.3 leads SWE-bench at 76.4% vs 69.3%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GLM-5.2 output tokens are $0.97/1M versus $1.8/1M. Input prices and retry rates still move the real bill.

Which is faster, GLM-5.2 or GLM-5.3?

GLM-5.3 has the lower time-to-first-token (255 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GLM-5.2 accepts 1M tokens versus 200k.

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. GLM-5.2 and GLM-5.3 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

GLM-5.3

GLM-5.3

GLM-5.2

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-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GLM-5.2

GLM-5.3

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

GLM-5.3

GLM-5.3

GLM-5.2

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-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GLM-5.2

GLM-5.3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons