Why is this comparison indexable?

It has 6 verifiable comparison points, and both models have pricing or benchmark data.

Are missing metrics invented?

No. Metrics without LMSpeed data are omitted from this report.

Back to models

Data points: 56

Key Takeaways

The readout for GLM-4.1v Thinking Flash and GPT-5.2, before the detailed comparison sheet.

Decision read

Tie

Tie currently has the stronger profile, with verified wins split 3 to 3.

Evidence depth

56 data points

Includes 0 benchmark rows, 0 audit samples, and 8 provider examples.

Selection signal

Tie

The charts below split 8 high-signal samples across speed, scores, and audit health.

Model compare GLM-4.1v Thinking Flash vs GPT-5.2 glm-4-1v-thinking-flash-vs-gpt-5-2	Model A GLM-4.1v Thinking Flash	Model B GPT-5.2
Overall leader	Tie	Tie
Verified metric wins	3 wins	3 wins
Where it leads	Cheapest input price, Average speed, Recent tests	First-token latency, Free providers, Provider coverage

Model compare

GLM-4.1v Thinking Flash vs GPT-5.2

glm-4-1v-thinking-flash-vs-gpt-5-2

Model A

GLM-4.1v Thinking Flash

Model B

GPT-5.2

Overall leader

Tie

Verified metric wins

3 wins

Where it leads

Cheapest input price, Average speed, Recent tests

First-token latency, Free providers, Provider coverage

Benchmark score comparison

Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.

Metric	GLM-4.1v Thinking Flash	GPT-5.2
No shared benchmark metrics are available yet.

API audit comparison

Latest completed audits from shared providers, with four safety and integrity score groups plus report links.

Provider	GLM-4.1v Thinking Flash	GPT-5.2
No completed audits are available from shared providers yet.

Provider examples

Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.

Provider	GLM-4.1v Thinking Flash	GPT-5.2
5 tests	GLM-4.1v Thinking Flash speed / latency 70 tok/s / 9293ms input / output No data

When to choose each model

This report only uses LMSpeed data for GLM-4.1v Thinking Flash and GPT-5.2: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.

Guidance	GLM-4.1v Thinking Flash	GPT-5.2
When to choose each model	GLM-4.1v Thinking Flash GLM-4.1v Thinking Flash is stronger when you prioritize Cheapest input price, Average speed, Recent tests.	GPT-5.2 GPT-5.2 is stronger when you prioritize First-token latency, Free providers, Provider coverage.

FAQ

TL;DR: Tie leads across 56 verifiable data points, including pricing, speed, latency, benchmarks, and provider examples.

Why is this comparison indexable?: It has 6 verifiable comparison points, and both models have pricing or benchmark data.
Are missing metrics invented?: No. Metrics without LMSpeed data are omitted from this report.

Continue from GLM-4.1v Thinking Flash vs GPT-5.2 into nearby model comparisons with enough verified LMSpeed data.

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	Zhipu AI	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