Mistral Small 3 vs GLM-4 Plus

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

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

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Feature Mistral Small 3 GLM-4 Plus
CategoryCompactOpen Source
Parameters24B130B
Context Window32K128K
Input Price$0.02/1M tokens$0.05/1M tokens
Output Price$0.04/1M tokens$0.09/1M tokens
Latency~150ms~350ms

Choose Mistral Small 3 when:

  • ✓ Content classification
  • ✓ Intent detection
  • ✓ Preprocessing
Key Strengths:

Very fast, Low cost, Good classification

Choose GLM-4 Plus when:

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

Strong bilingual, Good classical Chinese, Reliable

Verdict: Mistral Small 3 vs GLM-4 Plus

For cost efficiency, Mistral Small 3 wins at $0.02/1M input tokens. For speed, Mistral Small 3 is faster at ~150ms. Mistral Small 3 excels at Content classification while GLM-4 Plus is better for Buddhist text analysis. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Mistral Small 3 costs $0.02/1M input tokens and $0.04/1M output tokens. GLM-4 Plus costs $0.05 input and $0.09 output. Mistral Small 3 is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Mistral Small 3 has a 32K context window with ~150ms latency. GLM-4 Plus offers 128K context at ~350ms. GLM-4 Plus has the larger context window.

Best For

Mistral Small 3 (Compact) is optimized for: Content classification, Intent detection, Preprocessing. GLM-4 Plus (Open Source) works best for: Buddhist text analysis, Cross-cultural content, Bilingual apps.

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 Mistral Small 3
response_a = client.chat.completions.create(
    model="mistral-small-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Mistral Small 3 or GLM-4 Plus?

Mistral Small 3 (Compact, 24B) offers Very fast. GLM-4 Plus (Open Source, 130B) offers Strong bilingual. Choose Mistral Small 3 for Content classification or GLM-4 Plus for Buddhist text analysis.

How much does Mistral Small 3 cost vs GLM-4 Plus?

Mistral Small 3: $0.02/1M input, $0.04/1M output. GLM-4 Plus: $0.05/1M input, $0.09/1M 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 Mistral Small 3 and GLM-4 Plus by changing the model parameter. No code changes needed.

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