Model Comparison

Gemini 2.5 Flash-Lite vs GLM-4.5-AirWhich is better in 2026?

GLM-4.5-Air significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Flash-Lite vs GLM-4.5-Air — which is better?

Gemini 2.5 Flash-Lite (by Google) and GLM-4.5-Air (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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

Choose Gemini 2.5 Flash-Lite if…

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose GLM-4.5-Air if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
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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-Air is better at 4 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified).

GLM-4.5-Air significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas GLM-4.5-Air 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-Air

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-Air 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-Air

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-Air was released on 2025-07-28.

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

Gemini 2.5 Flash-Lite

Jun 17, 2025

11 months ago

GLM-4.5-Air

Jul 28, 2025

10 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-Air'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-Air's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

GLM-4.5-Air

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Zhipu AI
Higher GPQA score (75.0% vs 64.6%)
Higher Humanity's Last Exam score (10.6% vs 5.1%)
Higher LiveCodeBench score (70.7% vs 33.7%)
Higher SWE-Bench Verified score (57.6% vs 31.6%)

Detailed Comparison

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

FAQ

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

Which is better, Gemini 2.5 Flash-Lite or GLM-4.5-Air?

GLM-4.5-Air significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and GLM-4.5-Air is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Flash-Lite compare to GLM-4.5-Air in benchmarks?

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-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for Gemini 2.5 Flash-Lite and GLM-4.5-Air?

Gemini 2.5 Flash-Lite supports 1.0M tokens and GLM-4.5-Air supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Flash-Lite and GLM-4.5-Air?

Key differences include multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and GLM-4.5-Air?

Gemini 2.5 Flash-Lite is developed by Google and GLM-4.5-Air is developed by Zhipu AI.

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