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Gemini 3.1 Flash-Lite vs GLM-5.3-Flash

GLM-5.3-Flash leads the LLM Stats Score 51.0 to 31.2. GLM-5.3-Flash is 2.4x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

GLM-5.3-Flash leads the overall LLM Stats Score 51.0 to 31.2, ranking #14 overall.

In the 2 individual benchmarks reported for both models, GLM-5.3-Flash wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-5.3-Flash is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.1 Flash-Lite

  • you want predictable pricing at $0.25/M input and $1.50/M output

Choose GLM-5.3-Flash

  • overall performance matters — it scores 51.0 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 2.4x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • 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 3.1 Flash-Lite
Google
GLM-5.3-Flash
Zhipu AI
Core performance indexes
LLM Stats Score
31.2
#104
51.0
#14
Reasoning
31.5
#99
49.8
#15
Agents
11.0
#102
37.7
#11
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.25 / M
$0.15 / M
Output price
$1.50 / M
$0.50 / M
Context window
1,000,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.1 Flash-Lite
GLM-5.3-Flash
Vision
17.5#77
31.5#24
Multimodal
22.4#54
30.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemini 3.1 Flash-Lite · 15 for GLM-5.3-Flash

2 shared

Gemini 3.1 Flash-Lite outperforms in 0 benchmarks, while GLM-5.3-Flash is better at 2 benchmarks (CharXiv-R, Humanity's Last Exam).

GLM-5.3-Flash significantly outperforms across most benchmarks.

Wed Sep 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, Gemini 3.1 Flash-Lite ($0.25/1M tokens) is 1.7x more expensive than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, Gemini 3.1 Flash-Lite ($1.50/1M tokens) is 3.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).

In conclusion, Gemini 3.1 Flash-Lite is more expensive than GLM-5.3-Flash.*

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

Lowest available price from all providers
Wed Sep 02 2026 • llm-stats.com
Google
Gemini 3.1 Flash-Lite
Input tokens$0.25
Output tokens$1.50
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

GLM-5.3-Flash accepts 1,048,576 input tokens compared to Gemini 3.1 Flash-Lite's 1,000,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Gemini 3.1 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.1 Flash-Lite
Input1,000,000 tokens
Output65,536 tokens
Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.1 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 3.1 Flash-Lite

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 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 3.1 Flash-Lite

Proprietary

Closed source

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Flash-Lite was released on 2026-03-03, while GLM-5.3-Flash was released on 2026-08-26.

GLM-5.3-Flash is 6 months newer than Gemini 3.1 Flash-Lite.

Gemini 3.1 Flash-Lite

Mar 3, 2026

6 months ago

GLM-5.3-Flash

Aug 26, 2026

1 weeks ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Flash-Lite has a documented knowledge cutoff of 2025-01-31, while GLM-5.3-Flash'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-5.3-Flash's cutoff date.

Gemini 3.1 Flash-Lite

Jan 2025

GLM-5.3-Flash

—

Provider Availability

Gemini 3.1 Flash-Lite is available from Google. GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI.

Gemini 3.1 Flash-Lite

google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.50/1M

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
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 3.1 Flash-Lite and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemini 3.1 Flash-Lite
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemini 3.1 Flash-Lite vs GLM-5.3-Flash.

Which is better, Gemini 3.1 Flash-Lite or GLM-5.3-Flash?

GLM-5.3-Flash leads the LLM Stats Score 51.0 to 31.2. Gemini 3.1 Flash-Lite is made by Google and GLM-5.3-Flash is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.1 Flash-Lite compare to GLM-5.3-Flash in benchmarks?

Gemini 3.1 Flash-Lite scores MMMLU: 88.9%, GPQA: 86.9%, VideoMMMU: 84.8%, MMMU-Pro: 76.8%, CharXiv-R: 73.2%. 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 3.1 Flash-Lite cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is 1.7x cheaper for input tokens. Gemini 3.1 Flash-Lite costs $0.25/M input and $1.50/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 3.1 Flash-Lite and GLM-5.3-Flash?

Gemini 3.1 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 3.1 Flash-Lite and GLM-5.3-Flash?

Key differences include LLM Stats Score (31.2 vs 51.0), context window (1.0M vs 1.0M), input pricing ($0.25 vs $0.15/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Flash-Lite and GLM-5.3-Flash?

Gemini 3.1 Flash-Lite is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

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