Model Comparison

Gemini 3.1 Pro vs GLM-5.1

GLM-5.1 shows notably better performance in the majority of benchmarks. GLM-5.1 is 2.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 3.1 Pro outperforms in 2 benchmarks (BrowseComp, GPQA), while GLM-5.1 is better at 4 benchmarks (Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, Terminal-Bench 2.0).

GLM-5.1 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-5.1 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 1.8x more expensive than GLM-5.1 ($1.40/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 3.4x more expensive than GLM-5.1 ($4.40/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GLM-5.1.*

* 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 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Zhipu AI
GLM-5.1
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
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-5.1's 200,000 tokens. GLM-5.1 can generate longer responses up to 128,000 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-5.1
Input200,000 tokens
Output128,000 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas GLM-5.1 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

GLM-5.1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while GLM-5.1 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-5.1

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-5.1 was released on 2026-04-07.

GLM-5.1 is 2 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

GLM-5.1

Apr 7, 2026

4 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-5.1'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-5.1's cutoff date.

Gemini 3.1 Pro

Jan 2025

GLM-5.1

—

Provider Availability

Gemini 3.1 Pro is available from Google. GLM-5.1 is available from ZAI.

Gemini 3.1 Pro

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

GLM-5.1

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* 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 BrowseComp score (85.9% vs 79.3%)
Higher GPQA score (94.3% vs 86.2%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Humanity's Last Exam score (52.3% vs 51.4%)
Higher MCP Atlas score (71.8% vs 69.2%)
Higher SWE-Bench Pro score (58.4% vs 54.2%)
Higher Terminal-Bench 2.0 score (69.0% vs 68.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Zhipu AI
GLM-5.1

FAQ

Common questions about Gemini 3.1 Pro vs GLM-5.1

GLM-5.1 shows notably better performance in the majority of benchmarks. Gemini 3.1 Pro is made by Google and GLM-5.1 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.
GLM-5.1 is 1.8x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. GLM-5.1 costs $1.40/M input and $4.40/M output via z.
Gemini 3.1 Pro supports 1.0M tokens and GLM-5.1 supports 200K 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 200K), input pricing ($2.50 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and GLM-5.1 is developed by Zhipu AI.