Yi Large vs IBM Granite 3.1 2B
Compare Yi Large and IBM Granite 3.1 2B: 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 | Yi Large | IBM Granite 3.1 2B |
|---|---|---|
| Category | Open Source | Compact |
| Parameters | 300B | 2B |
| Context Window | 200K | 128K |
| Input Price | $0.06/1M tokens | $0.004/1M tokens |
| Output Price | $0.12/1M tokens | $0.008/1M tokens |
| Latency | ~450ms | ~30ms |
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Choose IBM Granite 3.1 2B when:
- ✓ Edge enterprise
- ✓ Compliance-required
- ✓ Fast classification
Enterprise-grade, Tiny, 128K context
Verdict: Yi Large vs IBM Granite 3.1 2B
For cost efficiency, IBM Granite 3.1 2B wins at $0.004/1M input tokens. For speed, IBM Granite 3.1 2B is faster at ~30ms. Yi Large excels at Long document analysis while IBM Granite 3.1 2B is better for Edge enterprise. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Yi Large costs $0.06/1M input tokens and $0.12/1M output tokens. IBM Granite 3.1 2B costs $0.004 input and $0.008 output. IBM Granite 3.1 2B is 15.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Yi Large has a 200K context window with ~450ms latency. IBM Granite 3.1 2B offers 128K context at ~30ms. Yi Large has the larger context window.
Best For
Yi Large (Open Source) is optimized for: Long document analysis, Research, Complex tasks. IBM Granite 3.1 2B (Compact) works best for: Edge enterprise, Compliance-required, Fast classification.
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 Yi Large
response_a = client.chat.completions.create(
model="yi-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use IBM Granite 3.1 2B
response_b = client.chat.completions.create(
model="granite-3-1-2b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Yi Large or IBM Granite 3.1 2B?
Yi Large (Open Source, 300B) offers 200K context. IBM Granite 3.1 2B (Compact, 2B) offers Enterprise-grade. Choose Yi Large for Long document analysis or IBM Granite 3.1 2B for Edge enterprise.
How much does Yi Large cost vs IBM Granite 3.1 2B?
Yi Large: $0.06/1M input, $0.12/1M output. IBM Granite 3.1 2B: $0.004/1M input, $0.008/1M 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 Yi Large and IBM Granite 3.1 2B 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.