GLM-4 Plus vs InternLM 2.5 20B

Compare GLM-4 Plus and InternLM 2.5 20B: 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 Shanghai AI Lab models What is an LLM API? Python Quickstart What is inference?
Feature GLM-4 Plus InternLM 2.5 20B
CategoryOpen SourceOpen Source
Parameters130B20B
Context Window128K256K
Input Price$0.05/1M tokens$0.02/1M tokens
Output Price$0.09/1M tokens$0.04/1M tokens
Latency~350ms~180ms

Choose GLM-4 Plus when:

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

Strong bilingual, Good classical Chinese, Reliable

Choose InternLM 2.5 20B when:

  • ✓ Long context tasks
  • ✓ Research
  • ✓ Multilingual
Key Strengths:

256K context, Strong reasoning, Good multilingual

Verdict: GLM-4 Plus vs InternLM 2.5 20B

For cost efficiency, InternLM 2.5 20B wins at $0.02/1M input tokens. For speed, InternLM 2.5 20B is faster at ~180ms. GLM-4 Plus excels at Buddhist text analysis while InternLM 2.5 20B is better for Long context tasks. 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. InternLM 2.5 20B costs $0.02 input and $0.04 output. InternLM 2.5 20B is 2.5x 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. InternLM 2.5 20B offers 256K context at ~180ms. InternLM 2.5 20B has the larger context window.

Best For

GLM-4 Plus (Open Source) is optimized for: Buddhist text analysis, Cross-cultural content, Bilingual apps. InternLM 2.5 20B (Open Source) works best for: Long context tasks, Research, Multilingual.

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 InternLM 2.5 20B
response_b = client.chat.completions.create(
    model="internlm-2-5-20b",
    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 InternLM 2.5 20B?

GLM-4 Plus (Open Source, 130B) offers Strong bilingual. InternLM 2.5 20B (Open Source, 20B) offers 256K context. Choose GLM-4 Plus for Buddhist text analysis or InternLM 2.5 20B for Long context tasks.

How much does GLM-4 Plus cost vs InternLM 2.5 20B?

GLM-4 Plus: $0.05/1M input, $0.09/1M output. InternLM 2.5 20B: $0.02/1M input, $0.04/1M 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 InternLM 2.5 20B by changing the model parameter. No code changes needed.

Related Comparisons

GLM-4 Plus vs Gemma 3 27B GLM-4 Plus vs Llama 4 Scout GLM-4 Plus vs Llama 4 Maverick GLM-4 Plus vs Llama 3.3 70B GLM-4 Plus vs Llama 3.1 405B GLM-4 Plus vs Llama 3.1 70B Turbo

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