Gemini 2.5 Flash-Lite vs GLM-5.3-Flash
GLM-5.3-Flash significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 1.4x cheaper per token.
Google · Zhipu AI · Updated for 2026
Which is better?
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while GLM-5.3-Flash is better at 1 benchmark (Humanity's Last Exam). GLM-5.3-Flash significantly outperforms across most benchmarks.
On price, Gemini 2.5 Flash-Lite is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 2.5 Flash-Lite
- cost matters — it's about 1.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose GLM-5.3-Flash
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while GLM-5.3-Flash is better at 1 benchmark (Humanity's Last Exam).
GLM-5.3-Flash significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 1.5x cheaper than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 1.3x cheaper than GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, GLM-5.3-Flash is more expensive than Gemini 2.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to GLM-5.3-Flash's 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 2.5 Flash-Lite and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash-Lite
GLM-5.3-Flash
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while GLM-5.3-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while GLM-5.3-Flash was released on 2026-08-26.
GLM-5.3-Flash is 15 months newer than Gemini 2.5 Flash-Lite.
Jun 17, 2025
1.2 years ago
Aug 26, 2026
0 days ago
1.2yr newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while GLM-5.3-Flash'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-5.3-Flash's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Flash-Lite is available from Google. GLM-5.3-Flash is available from ZAI.
Gemini 2.5 Flash-Lite
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash-Lite and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Flash-Lite vs GLM-5.3-Flash.