Model Comparison

Gemini 3.1 Pro vs GLM-4.5VWhich is better in 2026?

Comparing Gemini 3.1 Pro and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs GLM-4.5V — which is better?

Gemini 3.1 Pro (by Google) and GLM-4.5V (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.

On price, GLM-4.5V is roughly 5.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 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 3.1 Pro if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose GLM-4.5V if…

  • cost matters — it's about 5.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.1 Pro and GLM-4.5Vdon'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 3.1 Pro ($2.50/1M tokens) is 4.5x more expensive than GLM-4.5V ($0.55/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 6.8x more expensive than GLM-4.5V ($2.19/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GLM-4.5V.*

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

Lowest available price from all providers
Tue Jul 14 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
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 3.1 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 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Tue Jul 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and GLM-4.5V support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 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 3.1 Pro

Proprietary

Closed source

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-4.5V was released on 2025-08-11.

Gemini 3.1 Pro is 6 months newer than GLM-4.5V.

Gemini 3.1 Pro

Feb 19, 2026

4 months ago

6mo newer
GLM-4.5V

Aug 11, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-4.5V's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-4.5V's cutoff date.

Gemini 3.1 Pro

Jan 2025

GLM-4.5V

—

Provider Availability

Gemini 3.1 Pro is available from Google. GLM-4.5V is available from Fireworks, Novita.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and GLM-4.5V side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
GLM-4.5V
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Zhipu AI
GLM-4.5V

FAQ

Common questions about Gemini 3.1 Pro vs GLM-4.5V.

Which is better, Gemini 3.1 Pro or GLM-4.5V?

Gemini 3.1 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.

How does Gemini 3.1 Pro compare to GLM-4.5V in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%.

Is Gemini 3.1 Pro cheaper than GLM-4.5V?

GLM-4.5V is 4.5x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.

What are the context window sizes for Gemini 3.1 Pro and GLM-4.5V?

Gemini 3.1 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.

What are the main differences between Gemini 3.1 Pro and GLM-4.5V?

Key differences include context window (1.0M vs 131K), input pricing ($2.50 vs $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and GLM-4.5V?

Gemini 3.1 Pro is developed by Google and GLM-4.5V is developed by Zhipu AI.

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