Data points: 55
The readout for GLM-4 and GPT-5.2, before the detailed comparison sheet.
Decision read
GPT-5.2
GPT-5.2 currently has the stronger profile, with verified wins split 2 to 3.
Evidence depth
55 data points
Includes 0 benchmark rows, 0 audit samples, and 9 provider examples.
Selection signal
Start with GPT-5.2
The charts below split 9 high-signal samples across speed, scores, and audit health.
Model compare GLM-4 vs GPT-5.2glm-4-vs-gpt-5-2 | Model A GLM-4 | Model B GPT-5.2 |
|---|---|---|
| Overall leader | Contender | Leading |
| Verified metric wins | 2 wins | 3 wins |
| Where it leads | Average speed, First-token latency | Cheapest input price, Provider coverage, Recent tests |
| Model metadata | No OpenRouter metadata is available yet for this model. | GPT-5.2 exposes 128K tokens; notable signals: Text input, Image input, File input, Text output. |
| Developer | No data | OpenAI |
| Context window | No data | 128K tokens |
| Max output | No data | 16.4K tokens |
| Released | No data | Dec 2025 |
| Modalities | No data | Input FileImageText Output Text |
| Features | None listed | Text inputImage inputFile inputText outputTool callingStructured outputsJSON mode |
| Parameters | No data | No data |
| Tokenizer | No data | GPT |
| Knowledge cutoff | No data | No data |
| OpenRouter ID | No data | openai/gpt-5.2-chat |
| References | No data | No data |
Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.
| Metric | GLM-4 | GPT-5.2 |
|---|---|---|
| No shared benchmark metrics are available yet. | ||
Latest completed audits from shared providers, with four safety and integrity score groups plus report links.
| Provider | GLM-4 | GPT-5.2 |
|---|---|---|
| No completed audits are available from shared providers yet. | ||
Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.
| Provider | GLM-4 | GPT-5.2 |
|---|---|---|
N1N15 tests | GLM-4 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 56 tok/s / 1798ms input / output No data |
Yun API5 tests | GLM-4 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 32 tok/s / 1965ms input / output No data |
小水管 API5 tests | GLM-4 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency 71 tok/s / 2893ms input / output No data |
6345ywz API0 tests | GLM-4 zhipu/glm-4-9b speed / latency N/A / N/A input / output $0.137/M / $0.137/M | GPT-5.2 gpt-5.2 speed / latency N/A / N/A input / output $0.034/M / $0.274/M |
AAAI0 tests | GLM-4 speed / latency N/A / N/A input / output No data | GPT-5.2 speed / latency N/A / N/A input / output No data |
GLM-4 THUDM/GLM-4-9B-0414 speed / latency No data input / output $0.050/M / $0.050/M | GPT-5.2 gpt-5.2 speed / latency No data input / output $5.00/M / $40.00/M | |
GLM-4 THUDM/GLM-4-9B-0414 speed / latency No data input / output $0.086/M / $0.086/M | GPT-5.2 openai/gpt-5.2-chat speed / latency No data input / output $1.75/M / $14.00/M | |
GLM-4 glm-4 speed / latency No data input / output $0.180/M / $0.720/M | GPT-5.2 gpt-5.2-chat-latest speed / latency No data input / output $1.05/M / $8.40/M | |
GLM-4 z-ai/glm-4-32b speed / latency No data input / output $0.200/M / $0.200/M | GPT-5.2 openai/gpt-5.2 speed / latency No data input / output $6.00/M / $24.00/M |
This report only uses LMSpeed data for GLM-4 and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.
| Guidance | GLM-4 | GPT-5.2 |
|---|---|---|
| When to choose each model | GLM-4 GLM-4 is stronger when you prioritize Average speed, First-token latency. | GPT-5.2 GPT-5.2 is stronger when you prioritize Cheapest input price, Provider coverage, Recent tests. |
TL;DR: GPT-5.2 leads across 55 verifiable data points, including pricing, speed, latency, benchmarks, and provider examples.
Continue from GLM-4 vs GPT-5.2 into nearby model comparisons with enough verified LMSpeed data.
Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.
