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Gemini 3.8 Flash vs GLM-5.3-Flash

Gemini 3.8 Flash and GLM-5.3-Flash are closely matched at 51.8 and 51.0 on the LLM Stats Score. GLM-5.3-Flash is 6.3x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.8 Flash and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 51.8 and 51.0.

The models split the 4 individual benchmarks reported for both models evenly.

On price, GLM-5.3-Flash is roughly 6.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash

  • you want the most recent training data — it shipped Sep 2026

Choose GLM-5.3-Flash

  • cost matters — it's about 6.3x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
GLM-5.3-Flash
Zhipu AI
Core performance indexes
LLM Stats Score
51.8
#11
51.0
#14
Reasoning
47.6
#21
49.8
#15
Coding
41.3
#10
35.8
#27
Agents
36.9
#13
37.7
#11
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.75 / M
$0.15 / M
Output price
$3.75 / M
$0.50 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 3.8 Flash
GLM-5.3-Flash
Vision
34.4#11
31.5#24
Tool use
28.4#20
33.8#3
Multimodal
35.3#10
30.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 15 for GLM-5.3-Flash

4 shared

Gemini 3.8 Flash outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while GLM-5.3-Flash is better at 2 benchmarks (CharXiv-R, GDPval-AA).

Both models are evenly matched across the 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 3.8 Flash ($0.75/1M tokens) is 5.0x more expensive than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 7.5x more expensive than GLM-5.3-Flash ($0.50/1M tokens).

In conclusion, Gemini 3.8 Flash 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 3.8 Flash
Input tokens$0.75
Output tokens$3.75
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 3.8 Flash is limited to 65,536 tokens.

Google
Gemini 3.8 Flash
Input1,048,576 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 3.8 Flash and GLM-5.3-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.8 Flash

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash 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 3.8 Flash

Proprietary

Closed source

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while GLM-5.3-Flash was released on 2026-08-26.

Gemini 3.8 Flash is 0 month newer than GLM-5.3-Flash.

Gemini 3.8 Flash

Sep 2, 2026

0 days ago

1w newer
GLM-5.3-Flash

Aug 26, 2026

1 weeks ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while GLM-5.3-Flash's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.

Gemini 3.8 Flash

Mar 2026

GLM-5.3-Flash

—

Provider Availability

Gemini 3.8 Flash is available from Google. GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI.

Gemini 3.8 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

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 3.8 Flash and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
GLM-5.3-Flash
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs GLM-5.3-Flash.

Which is better, Gemini 3.8 Flash or GLM-5.3-Flash?

Gemini 3.8 Flash and GLM-5.3-Flash are closely matched on the LLM Stats Score at 51.8 and 51.0. Gemini 3.8 Flash 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 3.8 Flash compare to GLM-5.3-Flash in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. 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 3.8 Flash cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is 5.0x cheaper for input tokens. Gemini 3.8 Flash costs $0.75/M input and $3.75/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 3.8 Flash and GLM-5.3-Flash?

Gemini 3.8 Flash 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 3.8 Flash and GLM-5.3-Flash?

Key differences include LLM Stats Score (51.8 vs 51.0), input pricing ($0.75 vs $0.15/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and GLM-5.3-Flash?

Gemini 3.8 Flash is developed by Google and GLM-5.3-Flash is developed by Zhipu AI.

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