GLM-4 Plus vs Gemma 3 1B

Compare GLM-4 Plus and Gemma 3 1B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Zhipu AI models All Google models What is an LLM API? Python Quickstart What is inference?
Feature GLM-4 Plus Gemma 3 1B
CategoryOpen SourceCompact
Parameters130B1B
Context Window128K32K
Input Price$0.05/1M tokens$0.003/1M tokens
Output Price$0.09/1M tokens$0.006/1M tokens
Latency~350ms~20ms

Choose GLM-4 Plus when:

  • ✓ Buddhist text analysis
  • ✓ Cross-cultural content
  • ✓ Bilingual apps
Key Strengths:

Strong bilingual, Good classical Chinese, Reliable

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Verdict: GLM-4 Plus vs Gemma 3 1B

For cost efficiency, Gemma 3 1B wins at $0.003/1M input tokens. For speed, Gemma 3 1B is faster at ~20ms. GLM-4 Plus excels at Buddhist text analysis while Gemma 3 1B is better for Edge inference. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

GLM-4 Plus costs $0.05/1M input tokens and $0.09/1M output tokens. Gemma 3 1B costs $0.003 input and $0.006 output. Gemma 3 1B is 16.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GLM-4 Plus has a 128K context window with ~350ms latency. Gemma 3 1B offers 32K context at ~20ms. GLM-4 Plus has the larger context window.

Best For

GLM-4 Plus (Open Source) is optimized for: Buddhist text analysis, Cross-cultural content, Bilingual apps. Gemma 3 1B (Compact) works best for: Edge inference, Classification, Routing.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use GLM-4 Plus
response_a = client.chat.completions.create(
    model="glm-4-plus",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Gemma 3 1B
response_b = client.chat.completions.create(
    model="gemma-3-1b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, GLM-4 Plus or Gemma 3 1B?

GLM-4 Plus (Open Source, 130B) offers Strong bilingual. Gemma 3 1B (Compact, 1B) offers Tiny footprint. Choose GLM-4 Plus for Buddhist text analysis or Gemma 3 1B for Edge inference.

How much does GLM-4 Plus cost vs Gemma 3 1B?

GLM-4 Plus: $0.05/1M input, $0.09/1M output. Gemma 3 1B: $0.003/1M input, $0.006/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between GLM-4 Plus and Gemma 3 1B by changing the model parameter. No code changes needed.

Related Comparisons

GLM-4 Plus vs GPT-4.1 Nano GLM-4 Plus vs GPT-4o Mini GLM-4 Plus vs Claude Haiku 3.5 GLM-4 Plus vs Gemma 3 27B GLM-4 Plus vs Gemma 3 12B GLM-4 Plus vs Gemma 3 4B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.