Model Comparison

GLM-5 vs Gemini 3.1 Flash-Lite

Comparing GLM-5 and Gemini 3.1 Flash-Lite across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Gemini 3.1 Flash-Lite 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

Gemini 3.1 Flash-Lite costs less

For input processing, GLM-5 ($1.00/1M tokens) is 4.0x more expensive than Gemini 3.1 Flash-Lite ($0.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.1x more expensive than Gemini 3.1 Flash-Lite ($1.50/1M tokens).

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

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Google
Gemini 3.1 Flash-Lite
Input tokens$0.25
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Flash-Lite accepts 1,000,000 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 Flash-Lite is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
Gemini 3.1 Flash-Lite
Input1,000,000 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Flash-Lite supports multimodal inputs, whereas GLM-5 does not.

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

GLM-5

Text
Images
Audio
Video

Gemini 3.1 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Gemini 3.1 Flash-Lite was released on 2026-03-03.

Gemini 3.1 Flash-Lite is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

Gemini 3.1 Flash-Lite

Mar 3, 2026

1 months ago

2w newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Flash-Lite has a documented knowledge cutoff of 2025-01-31, while GLM-5's cutoff date is not specified.

We can confirm Gemini 3.1 Flash-Lite's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Gemini 3.1 Flash-Lite

Jan 2025

Provider Availability

GLM-5 is available from ZAI. Gemini 3.1 Flash-Lite is available from Google.

GLM-5

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

Gemini 3.1 Flash-Lite

google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Has open weights
Google
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about GLM-5 vs Gemini 3.1 Flash-Lite

GLM-5 (Zhipu AI) and Gemini 3.1 Flash-Lite (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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 3.1 Flash-Lite scores MMMLU: 88.9%, GPQA: 86.9%, VideoMMMU: 84.8%, MMMU-Pro: 76.8%, CharXiv-R: 73.2%.
Gemini 3.1 Flash-Lite is 4.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Gemini 3.1 Flash-Lite costs $0.25/M input and $1.50/M output via google.
GLM-5 supports 200K tokens and Gemini 3.1 Flash-Lite 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 $0.25/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 3.1 Flash-Lite is developed by Google.