Model Comparison

Gemini 2.5 Flash-Lite vs GLM-4.5

GLM-4.5 significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 4.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while GLM-4.5 is better at 4 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified).

GLM-4.5 significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 4.0x cheaper than GLM-4.5 ($0.40/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 4.0x cheaper than GLM-4.5 ($1.60/1M tokens).

In conclusion, GLM-4.5 is more expensive than Gemini 2.5 Flash-Lite.*

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas GLM-4.5 does not.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while GLM-4.5 uses MIT.

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

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 1 month newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

10 months ago

GLM-4.5

Jul 28, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while GLM-4.5's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-4.5's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

GLM-4.5

—

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* 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
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Higher GPQA score (79.1% vs 64.6%)
Higher Humanity's Last Exam score (14.4% vs 5.1%)
Higher LiveCodeBench score (72.9% vs 33.7%)
Higher SWE-Bench Verified score (64.2% vs 31.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Zhipu AI
GLM-4.5

FAQ

Common questions about Gemini 2.5 Flash-Lite vs GLM-4.5

GLM-4.5 significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.
Gemini 2.5 Flash-Lite is 4.0x cheaper for input tokens. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.
Gemini 2.5 Flash-Lite supports 1.0M tokens and GLM-4.5 supports 131K 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 131K), input pricing ($0.10 vs $0.40/M), multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash-Lite is developed by Google and GLM-4.5 is developed by Zhipu AI.