AI Models · Open-Source vs Paid

GLM 5.2 Open vs Claude Opus 4.8 Paid

GLM 5.2 vs Claude Opus 4.8 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 · OpenSourceAI.tech

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 Claude Opus 4.8 if you want frontier capability through a managed API with zero infrastructure to run.

GLM 5.2 vs Claude Opus 4.8 specs

SpecGLM 5.2Claude Opus 4.8
MakerZ.AIAnthropic
TypeOpen-weightProprietary
Context window1M tokens1M tokens
Input price$0.78/M · free self-host$5/M
Output price$2.44/M · free self-host$25/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseMITProprietary

Feature comparison

CapabilityGLM 5.2Claude Opus 4.8
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GLM 5.2 vs Claude Opus 4.8

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

GLM 5.2 delivers 4.3× more intelligence per dollar.
GLM 5.2
Claude Opus 4.8
Intelligence index
51.1
55.7
Coding index
68.8
74.3
GPQA
89.5%
92%
Humanity's Last Exam
40.1%
45.7%
Long Context Reasoning
71.3%
67.7%
SciCode
50.5%
53.5%
IFBench
73.3%
62.2%
τ²-Bench
99.1%
94.4%
τ-Bench Banking
26.8%
27.6%
Terminal-Bench
77.9%
84.6%
Terminal-Bench Hard
50.8%
58.3%
Speed
198.1 tok/s
62.5 tok/s
Latency
0.85s
28.57s
Intelligence per $
23.8
5.6

Benchmark data by Artificial Analysis.

How GLM 5.2 and Claude Opus 4.8 score

🏆 Best value & openness: GLM 5.2 (4.6 vs 3.1 / 5)
CriterionGLM 5.2Claude Opus 4.8
Cost-efficiency4.53.0
Context window5.05.0
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,...

Claude Opus 4.8 Paid

Anthropic · Proprietary

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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

Frequently asked questions

Is GLM 5.2 as good as Claude Opus 4.8?

GLM 5.2 is open-weight and competitive on many tasks, but Claude Opus 4.8 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. Claude Opus 4.8 is API-only and cannot be self-hosted.

How much cheaper is GLM 5.2?

GLM 5.2 costs $2.44/M output vs $25/M for Claude Opus 4.8 — roughly 10x cheaper via API, and free if you self-host.

GLM 5.2 vs Claude Opus 4.8 — 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 Claude Opus 4.8 if you want frontier capability through a managed API with zero infrastructure to run.

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