Model Comparison

Gemini 3 Pro vs GLM-5.2Which is better in 2026?

Both models are evenly matched across the benchmarks. GLM-5.2 is 2.1x cheaper per token.

Verdict: Gemini 3 Pro vs GLM-5.2 — which is better?

Gemini 3 Pro (by Google) and GLM-5.2 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while GLM-5.2 is better at 1 benchmark (Humanity's Last Exam). Both models are evenly matched across the benchmarks.

On price, GLM-5.2 is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3 Pro if…

  • you process long inputs — it offers a 1,048,576 token context window

Choose GLM-5.2 if…

  • cost matters — it's about 2.1x cheaper per token
  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while GLM-5.2 is better at 1 benchmark (Humanity's Last Exam).

Both models are evenly matched across the benchmarks.

Tue Jun 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5.2 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 1.4x more expensive than GLM-5.2 ($1.40/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 2.7x more expensive than GLM-5.2 ($4.40/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than GLM-5.2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jun 16 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Zhipu AI
GLM-5.2
Input tokens$1.40
Output tokens$4.40
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to GLM-5.2's 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-5.2
Input1,000,000 tokens
Output131,072 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas GLM-5.2 does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

GLM-5.2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while GLM-5.2 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Pro

Proprietary

Closed source

GLM-5.2

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while GLM-5.2 was released on 2026-06-16.

GLM-5.2 is 7 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

7 months ago

GLM-5.2

Jun 16, 2026

0 days ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5.2's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5.2's cutoff date.

Gemini 3 Pro

Jan 2025

GLM-5.2

—

Provider Availability

Gemini 3 Pro is available from Google. GLM-5.2 is available from FriendliAI, Novita, ZAI.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

GLM-5.2

friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (91.9% vs 91.2%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Humanity's Last Exam score (54.7% vs 45.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Zhipu AI
GLM-5.2

FAQ

Common questions about Gemini 3 Pro vs GLM-5.2.

Which is better, Gemini 3 Pro or GLM-5.2?

Both models are evenly matched across the benchmarks. Gemini 3 Pro is made by Google and GLM-5.2 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Pro compare to GLM-5.2 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%.

Is Gemini 3 Pro cheaper than GLM-5.2?

GLM-5.2 is 1.4x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. GLM-5.2 costs $1.40/M input and $4.40/M output via friendli.

What are the context window sizes for Gemini 3 Pro and GLM-5.2?

Gemini 3 Pro supports 1.0M tokens and GLM-5.2 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Pro and GLM-5.2?

Key differences include context window (1.0M vs 1.0M), input pricing ($2.00 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and GLM-5.2?

Gemini 3 Pro is developed by Google and GLM-5.2 is developed by Zhipu AI.

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