Skip to content
ModelCap

Head-to-head comparison

GPT-5.2 Chat vs GLM 5.3

GPT-5.2 Chat (OpenAI) and GLM 5.3 (Z.ai) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 19 August 2026

As of 19 August 2026, GLM 5.3 holds the stronger ModelCap Index position (#7 vs #10); GLM 5.3 is 3.2× cheaper per output token ($4.40/1M vs $14.00/1M); and GLM 5.3 offers the longer context window (1M vs 128K tokens).

Which should you choose?

Choose GPT-5.2 Chat if…

  • ModelCap publishes no field on which GPT-5.2 Chat leads GLM 5.3 for this pair.

Choose GLM 5.3 if…

  • you want the stronger overall ModelCap Index position — #7 against #10 (78.4 vs 75.4 points).
  • API cost matters — $4.40/1M output tokens against $14.00/1M, about 3.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $1.40/1M against $1.75/1M.
  • you need the longer context window — 1M tokens against 128K.
  • you want the more recently listed model — GLM 5.3 was listed 18 August 2026, GPT-5.2 Chat 10 December 2025.

GPT-5.2 Chat vs GLM 5.3: specs, pricing and context

Specification comparison of GPT-5.2 Chat and GLM 5.3
FieldGPT-5.2 ChatOpenAIGLM 5.3Z.ai
ModelCap Index position#10#7
Index score75.478.4
EvidenceMeasuredMeasured
Input price / 1M tokens$1.75$1.40
Output price / 1M tokens$14.00$4.40
Context window128K tokens1M tokens
Max output tokens32K131K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesFile, Image, TextText
First listed10 December 202518 August 2026
PublisherOpenAIZ.ai

Evidence: 2 public benchmark observations across 2 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.2 Chat vs GLM 5.3

Public benchmark boards where GPT-5.2 Chat or GLM 5.3 has a published result
BoardGPT-5.2 ChatGLM 5.3Leads
Arena codingArena (LMArena)15151508–1522—Only one result
Artificial Analysis Intelligence IndexArtificial Analysis—59.5intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-5.2 Chat vs GLM 5.3: common questions

Is GPT-5.2 Chat better than GLM 5.3?

GLM 5.3 ranks higher on the ModelCap Index as of 19 August 2026: #7 against #10. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is GPT-5.2 Chat cheaper than GLM 5.3?

GLM 5.3 is cheaper on output tokens: $4.40/1M against $14.00/1M. Input tokens are $1.75/1M for GPT-5.2 Chat and $1.40/1M for GLM 5.3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-5.2 Chat or GLM 5.3?

GLM 5.3 has the larger context window: 1M tokens against 128K.

Which is better for coding, GPT-5.2 Chat or GLM 5.3?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are GPT-5.2 Chat and GLM 5.3 open-weight models?

GPT-5.2 Chat: API only. GLM 5.3: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run GPT-5.2 Chat and GLM 5.3?

ModelCap currently lists 1 API provider for GPT-5.2 Chat and 1 for GLM 5.3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-5.2 Chat vs GLM 5.3 comparison?

Every figure comes from the sealed ModelCap dataset published 19 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

Explore further