Llama 3.2 1B vs IBM Granite 3.1 8B

Compare Llama 3.2 1B and IBM Granite 3.1 8B: 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 Llama 3.2 1B IBM Granite 3.1 8B
CategoryCompactEnterprise
Parameters1B8B
Context Window128K128K
Input Price$0.004/1M tokens$0.01/1M tokens
Output Price$0.008/1M tokens$0.02/1M tokens
Latency~25ms~80ms

Choose Llama 3.2 1B when:

  • ✓ Intent detection
  • ✓ Routing
  • ✓ Edge classification
Key Strengths:

Smallest footprint, Fastest inference, Classification

Choose IBM Granite 3.1 8B when:

  • ✓ Regulated industries
  • ✓ Enterprise compliance
  • ✓ IBM ecosystem
Key Strengths:

Enterprise compliance, IP indemnification, 128K context

Verdict: Llama 3.2 1B vs IBM Granite 3.1 8B

For cost efficiency, Llama 3.2 1B wins at $0.004/1M input tokens. For speed, Llama 3.2 1B is faster at ~25ms. Llama 3.2 1B excels at Intent detection while IBM Granite 3.1 8B is better for Regulated industries. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.2 1B costs $0.004/1M input tokens and $0.008/1M output tokens. IBM Granite 3.1 8B costs $0.01 input and $0.02 output. Llama 3.2 1B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 1B has a 128K context window with ~25ms latency. IBM Granite 3.1 8B offers 128K context at ~80ms. Both have identical context windows.

Best For

Llama 3.2 1B (Compact) is optimized for: Intent detection, Routing, Edge classification. IBM Granite 3.1 8B (Enterprise) works best for: Regulated industries, Enterprise compliance, IBM ecosystem.

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 Llama 3.2 1B
response_a = client.chat.completions.create(
    model="llama-3-2-1b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use IBM Granite 3.1 8B
response_b = client.chat.completions.create(
    model="granite-3-1-8b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 1B or IBM Granite 3.1 8B?

Llama 3.2 1B (Compact, 1B) offers Smallest footprint. IBM Granite 3.1 8B (Enterprise, 8B) offers Enterprise compliance. Choose Llama 3.2 1B for Intent detection or IBM Granite 3.1 8B for Regulated industries.

How much does Llama 3.2 1B cost vs IBM Granite 3.1 8B?

Llama 3.2 1B: $0.004/1M input, $0.008/1M output. IBM Granite 3.1 8B: $0.01/1M input, $0.02/1M 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 Llama 3.2 1B and IBM Granite 3.1 8B 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.