Model Comparison

Gemini 2.5 Pro vs GLM-4.5

Gemini 2.5 Pro shows notably better performance in the majority of benchmarks. GLM-4.5 is 4.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.5 Pro outperforms in 3 benchmarks (AIME 2024, GPQA, Humanity's Last Exam), while GLM-4.5 is better at 1 benchmark (SWE-Bench Verified).

Gemini 2.5 Pro shows notably better performance in the majority of benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.5 costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 3.1x more expensive than GLM-4.5 ($0.40/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 6.3x more expensive than GLM-4.5 ($1.60/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than GLM-4.5.*

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

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas GLM-4.5 does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while GLM-4.5 uses MIT.

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

Gemini 2.5 Pro

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 2 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

10 months ago

GLM-4.5

Jul 28, 2025

8 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-4.5's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-4.5's cutoff date.

Gemini 2.5 Pro

Jan 2025

GLM-4.5

—

Provider Availability

Gemini 2.5 Pro is available from Google. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* 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 AIME 2024 score (92.0% vs 91.0%)
Higher GPQA score (83.0% vs 79.1%)
Higher Humanity's Last Exam score (17.8% vs 14.4%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (64.2% vs 63.2%)
GoogleGemini 2.5 Pro
Zhipu AIGLM-4.5
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Zhipu AI
GLM-4.5

FAQ

Common questions about Gemini 2.5 Pro vs GLM-4.5

Gemini 2.5 Pro shows notably better performance in the majority of benchmarks. Gemini 2.5 Pro is made by Google and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.
GLM-4.5 is 3.1x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.
Gemini 2.5 Pro supports 1.0M tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 131K), input pricing ($1.25 vs $0.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and GLM-4.5 is developed by Zhipu AI.