The AI arena is free today

Open Superagent

Gemma 3 12B vs GLM-4.5-Air

GLM-4.5-Air leads the LLM Stats Score 24.6 to 5.7.

Google · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.6 to 5.7, ranking #153 overall.

In the 3 individual benchmarks reported for both models, GLM-4.5-Air wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemma 3 12B

  • you want predictable pricing at $0.05/M input and $0.10/M output

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.6 and ranks #153 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Gemma 3 12B
Google
GLM-4.5-Air
Zhipu AI
Core performance indexes
LLM Stats Score
5.7
#284
24.6
#153
Reasoning
6.1
#277
24.0
#151
Coding
2.9
#214
11.6
#148
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.05 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3 12B
GLM-4.5-Air
Math
13.1#222
22.7#128
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for Gemma 3 12B · 14 for GLM-4.5-Air

3 shared

Gemma 3 12B outperforms in 0 benchmarks, while GLM-4.5-Air is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).

GLM-4.5-Air significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

94.0B diff

GLM-4.5-Air has 94.0B more parameters than Gemma 3 12B, making it 783.3% larger.

Google
Gemma 3 12B
12.0Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
12.0B
Gemma 3 12B
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3 12B supports multimodal inputs, whereas GLM-4.5-Air does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 12B

Text
Images
Audio
Video

GLM-4.5-Air

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while GLM-4.5-Air uses MIT.

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

Gemma 3 12B

Gemma

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 5 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.5 years ago

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3 12B and GLM-4.5-Air side-by-side, then vote on the output you prefer.

Gemma 3 12B
✓ Preferred
GLM-4.5-Air
Open in Playground

FAQ

Common questions about Gemma 3 12B vs GLM-4.5-Air.

Which is better, Gemma 3 12B or GLM-4.5-Air?

GLM-4.5-Air leads the LLM Stats Score 24.6 to 5.7. Gemma 3 12B is made by Google and GLM-4.5-Air 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 Gemma 3 12B compare to GLM-4.5-Air in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for Gemma 3 12B and GLM-4.5-Air?

Gemma 3 12B supports 131K tokens and GLM-4.5-Air supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 12B and GLM-4.5-Air?

Key differences include LLM Stats Score (5.7 vs 24.6), multimodal support (yes vs no), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 12B and GLM-4.5-Air?

Gemma 3 12B is developed by Google and GLM-4.5-Air is developed by Zhipu AI.

Related comparisons