Model Comparison

GLM-5 vs Gemini 2.5 Pro

GLM-5 significantly outperforms across most benchmarks. GLM-5 is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Gemini 2.5 Pro is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.3x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 3.1x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than GLM-5.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 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 2.5 Pro is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas GLM-5 does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Gemini 2.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemini 2.5 Pro uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Gemini 2.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemini 2.5 Pro was released on 2025-05-20.

GLM-5 is 9 months newer than Gemini 2.5 Pro.

GLM-5

Feb 11, 2026

2 months ago

8mo newer
Gemini 2.5 Pro

May 20, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-5's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Gemini 2.5 Pro

Jan 2025

Provider Availability

GLM-5 is available from ZAI. Gemini 2.5 Pro is available from Google.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (77.8% vs 63.2%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Zhipu AIGLM-5
GoogleGemini 2.5 Pro
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
Gemini 2.5 Pro

FAQ

Common questions about GLM-5 vs Gemini 2.5 Pro

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Gemini 2.5 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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%. Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%.
GLM-5 is 1.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google.
GLM-5 supports 200K tokens and Gemini 2.5 Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $1.25/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Gemini 2.5 Pro is developed by Google.