AI Models · Open-Source vs Paid

GLM 5.2 Open vs GPT-4o Paid

GLM 5.2 vs GPT-4o compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose GLM 5.2 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4o if you want frontier capability through a managed API with zero infrastructure to run.

GLM 5.2 vs GPT-4o specs

SpecGLM 5.2GPT-4o
MakerZ.AIOpenAI
TypeOpen-weightProprietary
Context window1M tokens128K tokens
Input price$0.63/M · free self-host$2.5/M
Output price$1.96/M · free self-host$10/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseMITProprietary

Feature comparison

CapabilityGLM 5.2GPT-4o
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GLM 5.2 vs GPT-4o

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GLM 5.2
GPT-4o
Intelligence index
51.1
12.3
Coding index
68.8
GPQA
89.5%
65.5%
Humanity's Last Exam
40.1%
5%
Long Context Reasoning
71.3%
SciCode
50.5%
36.6%
IFBench
73.3%
τ²-Bench
99.1%
τ-Bench Banking
26.8%
Terminal-Bench
77.9%
Terminal-Bench Hard
50.8%
Math index
25.7
MMLU-Pro
80.3%
LiveCodeBench
42.5%
MATH-500
89.3%
AIME
32.7%
AIME 2025
25.7%
Speed
138.1 tok/s
0 tok/s
Latency
0.93s
0s
Intelligence per $
23.8

Benchmark data by Artificial Analysis.

How GLM 5.2 and GPT-4o score

🏆 Best value & openness: GLM 5.2 (4.6 vs 2.9 / 5)
CriterionGLM 5.2GPT-4o
Cost-efficiency4.53.5
Context window5.03.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GLM 5.2 Open

Z.AI · Open-weight

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

GPT-4o Paid

OpenAI · Proprietary

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
GLM 5.1GLM 5GLM 5 TurboGLM 5V TurboGLM 4.7GLM 4.6GLM 4.7 FlashGLM 4.5GLM 4.6VGLM 4.5 AirGLM 4.5V

Frequently asked questions

Is GLM 5.2 as good as GPT-4o?

GLM 5.2 is open-weight and competitive on many tasks, but GPT-4o may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run GLM 5.2 locally?

Yes. GLM 5.2 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-4o is API-only and cannot be self-hosted.

How much cheaper is GLM 5.2?

GLM 5.2 costs $1.96/M output vs $10/M for GPT-4o — roughly 5x cheaper via API, and free if you self-host.

GLM 5.2 vs GPT-4o — which should I pick in 2026?

Choose GLM 5.2 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4o if you want frontier capability through a managed API with zero infrastructure to run.

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