Model Comparison

Gemini 3.1 Pro vs GLM-5V-Turbo

Comparing Gemini 3.1 Pro and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.1 Pro and GLM-5V-Turbo 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

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Zhipu AI
GLM-5V-Turbo
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-5V-Turbo
Input- tokens
Output- tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and GLM-5V-Turbo 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-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.1 Pro

Proprietary

Closed source

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-5V-Turbo was released on 2026-04-02.

GLM-5V-Turbo is 1 month newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

GLM-5V-Turbo

Apr 2, 2026

0 days ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5V-Turbo'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-5V-Turbo's cutoff date.

Gemini 3.1 Pro

Jan 2025

GLM-5V-Turbo

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Zhipu AI

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Gemini 3.1 Pro vs GLM-5V-Turbo

Gemini 3.1 Pro (Google) and GLM-5V-Turbo (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 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.
Gemini 3.1 Pro supports 1.0M tokens and GLM-5V-Turbo supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Gemini 3.1 Pro is developed by Google and GLM-5V-Turbo is developed by Zhipu AI.