Model Comparison

Gemini 2.5 Pro vs GLM-4.5V

Comparing Gemini 2.5 Pro and GLM-4.5V across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Pro and GLM-4.5V don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.5V costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 2.3x more expensive than GLM-4.5V ($0.55/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 4.6x more expensive than GLM-4.5V ($2.19/1M tokens).

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

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
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-4.5V's 131,072 tokens. GLM-4.5V 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-4.5V
Input131,072 tokens
Output131,072 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro and GLM-4.5V support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.5 Pro

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while GLM-4.5V 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-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 3 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

11 months ago

GLM-4.5V

Aug 11, 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-4.5V'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-4.5V's cutoff date.

Gemini 2.5 Pro

Jan 2025

GLM-4.5V

—

Provider Availability

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

Gemini 2.5 Pro

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

GLM-4.5V

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
GoogleGemini 2.5 Pro
Zhipu AIGLM-4.5V
Compare in Playground

Detailed Comparison

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

FAQ

Common questions about Gemini 2.5 Pro vs GLM-4.5V

Gemini 2.5 Pro (Google) and GLM-4.5V (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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-4.5V is 2.3x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.
Gemini 2.5 Pro supports 1.0M tokens and GLM-4.5V 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 $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and GLM-4.5V is developed by Zhipu AI.