Model Comparison

Gemini 1.5 Pro vs GLM-4.5Which is better in 2026?

GLM-4.5 significantly outperforms across most benchmarks. GLM-4.5 is 6.2x cheaper per token.

Verdict: Gemini 1.5 Pro vs GLM-4.5 — which is better?

Gemini 1.5 Pro (by Google) and GLM-4.5 (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 1.5 Pro outperforms in 0 benchmarks, while GLM-4.5 is better at 2 benchmarks (GPQA, MMLU-Pro). GLM-4.5 significantly outperforms across most benchmarks.

On price, GLM-4.5 is roughly 6.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Pro if…

  • you process long inputs — it offers a 2,097,152 token context window

Choose GLM-4.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 6.2x cheaper per token
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Pro outperforms in 0 benchmarks, while GLM-4.5 is better at 2 benchmarks (GPQA, MMLU-Pro).

GLM-4.5 significantly outperforms across most benchmarks.

Tue Jun 16 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 1.5 Pro ($2.50/1M tokens) is 6.3x more expensive than GLM-4.5 ($0.40/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 6.3x more expensive than GLM-4.5 ($1.60/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than GLM-4.5.*

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

Lowest available price from all providers
Tue Jun 16 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
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 1.5 Pro accepts 2,097,152 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 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas GLM-4.5 does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 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 1.5 Pro

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 15 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.1 years ago

GLM-4.5

Jul 28, 2025

10 months ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while GLM-4.5's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without GLM-4.5's cutoff date.

Gemini 1.5 Pro

Nov 2023

GLM-4.5

Provider Availability

Gemini 1.5 Pro is available from Google. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput 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

Larger context window (2,097,152 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (79.1% vs 59.1%)
Higher MMLU-Pro score (84.6% vs 75.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Zhipu AI
GLM-4.5

FAQ

Common questions about Gemini 1.5 Pro vs GLM-4.5.

Which is better, Gemini 1.5 Pro or GLM-4.5?

GLM-4.5 significantly outperforms across most benchmarks. Gemini 1.5 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.

How does Gemini 1.5 Pro compare to GLM-4.5 in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

Is Gemini 1.5 Pro cheaper than GLM-4.5?

GLM-4.5 is 6.3x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.

What are the context window sizes for Gemini 1.5 Pro and GLM-4.5?

Gemini 1.5 Pro supports 2.1M tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Pro and GLM-4.5?

Key differences include context window (2.1M vs 131K), input pricing ($2.50 vs $0.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and GLM-4.5?

Gemini 1.5 Pro is developed by Google and GLM-4.5 is developed by Zhipu AI.