Model Comparison

Gemini 3.1 Pro vs GLM-5

Gemini 3.1 Pro significantly outperforms across most benchmarks. GLM-5 is 3.6x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3.1 Pro outperforms in 5 benchmarks (BrowseComp, MCP Atlas, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while GLM-5 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.5x more expensive than GLM-5 ($1.00/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 4.7x more expensive than GLM-5 ($3.20/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GLM-5.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
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's 200,000 tokens. GLM-5 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
Input200,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas GLM-5 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

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while GLM-5 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

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-5 was released on 2026-02-11.

Gemini 3.1 Pro is 0 month newer than GLM-5.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

1w newer
GLM-5

Feb 11, 2026

1 months ago

Knowledge Cutoff

When training data ends

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

Gemini 3.1 Pro

Jan 2025

GLM-5

—

Provider Availability

Gemini 3.1 Pro is available from Google. GLM-5 is available from ZAI.

Gemini 3.1 Pro

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

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
* 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)
Supports multimodal inputs
Higher BrowseComp score (85.9% vs 75.9%)
Higher MCP Atlas score (69.2% vs 67.8%)
Higher SWE-Bench Verified score (80.6% vs 77.8%)
Higher t2-bench score (99.3% vs 89.7%)
Higher Terminal-Bench 2.0 score (68.5% vs 56.2%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

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

FAQ

Common questions about Gemini 3.1 Pro vs GLM-5

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and GLM-5 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 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%.
GLM-5 is 2.5x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. GLM-5 costs $1.00/M input and $3.20/M output via z.
Gemini 3.1 Pro supports 1.0M tokens and GLM-5 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 $1.00/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 is developed by Zhipu AI.