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Gemini 3.1 Pro vs GLM-5.3-Flash

GLM-5.3-Flash leads the LLM Stats Score 51.6 to 43.9. GLM-5.3-Flash is 23.7x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

GLM-5.3-Flash leads the overall LLM Stats Score 51.6 to 43.9, ranking #11 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 23.7x 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 3.1 Pro

  • you want predictable pricing at $2.50/M input and $15.00/M output

Choose GLM-5.3-Flash

  • overall performance matters — it scores 51.6 and ranks #11 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 23.7x cheaper per token
  • 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 Pro
Google
GLM-5.3-Flash
Zhipu AI
Core performance indexes
LLM Stats Score
43.9
#32
51.6
#11
Reasoning
45.6
#23
50.3
#13
Coding
33.0
#39
37.8
#22
Agents
25.9
#41
39.1
#9
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$2.50 / M
$0.15 / M
Output price
$15.00 / M
$0.50 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.1 Pro
GLM-5.3-Flash
Vision
31.2#23
32.0#21
Tool use
23.9#34
34.2#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Gemini 3.1 Pro · 15 for GLM-5.3-Flash

2 shared

Gemini 3.1 Pro outperforms in 0 benchmarks, while GLM-5.3-Flash is better at 2 benchmarks (DeepSWE 1.1, Humanity's Last Exam).

GLM-5.3-Flash significantly outperforms across most benchmarks.

Fri Aug 28 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 Pro ($2.50/1M tokens) is 16.7x more expensive than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 30.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).

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

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

Lowest available price from all providers
Fri Aug 28 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
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 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.1 Pro 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 Pro

Text
Images
Audio
Video

GLM-5.3-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro 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 Pro

Proprietary

Closed source

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-5.3-Flash was released on 2026-08-26.

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

Gemini 3.1 Pro

Feb 19, 2026

6 months ago

GLM-5.3-Flash

Aug 26, 2026

2 days ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro 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 Pro'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 Pro

Jan 2025

GLM-5.3-Flash

—

Provider Availability

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

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

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

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

FAQ

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

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

GLM-5.3-Flash leads the LLM Stats Score 51.6 to 43.9. Gemini 3.1 Pro 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 Pro compare to GLM-5.3-Flash in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. 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 Pro cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is 16.7x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/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 Pro and GLM-5.3-Flash?

Gemini 3.1 Pro 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 Pro and GLM-5.3-Flash?

Key differences include LLM Stats Score (43.9 vs 51.6), input pricing ($2.50 vs $0.15/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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

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