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Gemini 2.0 Flash-Lite vs GLM-5.3-Flash

Comparing Gemini 2.0 Flash-Lite and GLM-5.3-Flash across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 2.0 Flash-Lite and GLM-5.3-Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 2.0 Flash-Lite is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash-Lite

  • cost matters — it's about 1.9x cheaper per token

Choose GLM-5.3-Flash

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash-Lite
Google
GLM-5.3-Flash
Zhipu AI
Benchmark wins
—
—
Input price
$0.07 / M
$0.15 / M
Output price
$0.30 / M
$0.50 / M
Context window
1,048,576
1,048,576
Released
Feb 2025
Aug 2026
License
Proprietary
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash-Lite and GLM-5.3-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 2.1x cheaper than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 1.7x cheaper than GLM-5.3-Flash ($0.50/1M tokens).

In conclusion, GLM-5.3-Flash is more expensive than Gemini 2.0 Flash-Lite.*

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

Lowest available price from all providers
Thu Aug 27 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 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 2.0 Flash-Lite

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while GLM-5.3-Flash uses MIT.

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

Gemini 2.0 Flash-Lite

Proprietary

Closed source

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 19 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while GLM-5.3-Flash's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

GLM-5.3-Flash

—

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. GLM-5.3-Flash is available from DeepInfra, Novita, ZAI.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs GLM-5.3-Flash.

Which is better, Gemini 2.0 Flash-Lite or GLM-5.3-Flash?

Gemini 2.0 Flash-Lite (Google) and GLM-5.3-Flash (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash-Lite compare to GLM-5.3-Flash in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%.

Is Gemini 2.0 Flash-Lite cheaper than GLM-5.3-Flash?

Gemini 2.0 Flash-Lite is 2.1x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra.

What are the context window sizes for Gemini 2.0 Flash-Lite and GLM-5.3-Flash?

Gemini 2.0 Flash-Lite supports 1.0M tokens and GLM-5.3-Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash-Lite and GLM-5.3-Flash?

Key differences include input pricing ($0.07 vs $0.15/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and GLM-5.3-Flash?

Gemini 2.0 Flash-Lite is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

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