Gemini 3 Pro vs GLM-5.2: Specs & Benchmark Comparison
Gemini 3 Pro is developed by Google, while GLM-5.2 comes from Zhipu AI. Gemini 3 Pro was released in November 2025, and GLM-5.2 followed 7 months later in June 2026. GLM-5.2 has a published size of about 753 billion parameters; Google has not disclosed the parameter count of Gemini 3 Pro.
The two models share 2 published benchmarks. They split them evenly, 1 to 1. The widest gaps are on Humanity's Last Exam, where GLM-5.2 scores 54.7% against 45.8%; GPQA, where Gemini 3 Pro scores 92.0% against 91.0%. Averaged across everything we track, Gemini 3 Pro sits at 70.5% and GLM-5.2 at 60.9%.
GLM-5.2 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, about 43% below Gemini 3 Pro at $2 and $12. Both accept a context window of about 1M tokens. Gemini 3 Pro accepts text, images, audio, and video as input, while GLM-5.2 accepts text.
| Characteristic | Gemini 3 Pro | GLM-5.2 |
|---|---|---|
| Company | Zhipu AI | |
| Release Date | November 17, 2025 | June 16, 2026 |
| Parameters | — | 753B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 66K | 131K |
| Input Price / 1M | $2.00 | $1.40 |
| Output Price / 1M | $12.00 | $4.40 |
| Average Score | 70.5% | 60.9% |
| Benchmarks | ||
| Humanity's Last Exam | 45.8% | 54.7% |
| GPQA | 92.0% | 91.0% |
Visual Benchmark Comparison
Verdict
GLM-5.2 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: Gemini 3 Pro — 0.7, GLM-5.2 — 0.6.
GLM-5.2 is 2.4x cheaper: input $1.40/1M vs $2.00/1M tokens.
Same context size: 1M tokens.
GLM-5.2 is newer: released 6/16/2026 vs 11/17/2025.
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Frequently Asked Questions
Which is better for coding — Gemini 3 Pro or GLM-5.2?
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Which has a larger context window — Gemini 3 Pro or GLM-5.2?
The Gemini 3 Pro and GLM-5.2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3 Pro or GLM-5.2 page. See also the complete list of AI model comparisons.