Llama 4 Scout vs IBM Granite 3.1 8B
Compare Llama 4 Scout 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
| Feature | Llama 4 Scout | IBM Granite 3.1 8B |
|---|---|---|
| Category | Open Source | Enterprise |
| Parameters | 109B (17B active) | 8B |
| Context Window | 512K | 128K |
| Input Price | $0.05/1M tokens | $0.01/1M tokens |
| Output Price | $0.08/1M tokens | $0.02/1M tokens |
| Latency | ~350ms | ~80ms |
Choose Llama 4 Scout when:
- ✓ Classical text analysis
- ✓ Long content
- ✓ Multi-turn
512K context, MoE efficiency, Strong multilingual
Choose IBM Granite 3.1 8B when:
- ✓ Regulated industries
- ✓ Enterprise compliance
- ✓ IBM ecosystem
Enterprise compliance, IP indemnification, 128K context
Verdict: Llama 4 Scout vs IBM Granite 3.1 8B
For cost efficiency, IBM Granite 3.1 8B wins at $0.01/1M input tokens. For speed, Llama 4 Scout is faster at ~350ms. Llama 4 Scout excels at Classical text analysis 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 4 Scout costs $0.05/1M input tokens and $0.08/1M output tokens. IBM Granite 3.1 8B costs $0.01 input and $0.02 output. IBM Granite 3.1 8B is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 4 Scout has a 512K context window with ~350ms latency. IBM Granite 3.1 8B offers 128K context at ~80ms. Llama 4 Scout has the larger context window.
Best For
Llama 4 Scout (Open Source) is optimized for: Classical text analysis, Long content, Multi-turn. 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 4 Scout
response_a = client.chat.completions.create(
model="llama-4-scout",
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"}]
)
Frequently Asked Questions
Which is better, Llama 4 Scout or IBM Granite 3.1 8B?
Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. IBM Granite 3.1 8B (Enterprise, 8B) offers Enterprise compliance. Choose Llama 4 Scout for Classical text analysis or IBM Granite 3.1 8B for Regulated industries.
How much does Llama 4 Scout cost vs IBM Granite 3.1 8B?
Llama 4 Scout: $0.05/1M input, $0.08/1M 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 4 Scout 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.