Yi Large vs IBM Granite 3.1 8B

Compare Yi Large 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

All 01.AI models All IBM models What is an LLM API? Python Quickstart What is inference?
Feature Yi Large IBM Granite 3.1 8B
CategoryOpen SourceEnterprise
Parameters300B8B
Context Window200K128K
Input Price$0.06/1M tokens$0.01/1M tokens
Output Price$0.12/1M tokens$0.02/1M tokens
Latency~450ms~80ms

Choose Yi Large when:

  • ✓ Long document analysis
  • ✓ Research
  • ✓ Complex tasks
Key Strengths:

200K context, Strong analysis, Good reasoning

Choose IBM Granite 3.1 8B when:

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

Enterprise compliance, IP indemnification, 128K context

Verdict: Yi Large vs IBM Granite 3.1 8B

For cost efficiency, IBM Granite 3.1 8B wins at $0.01/1M input tokens. For speed, Yi Large is faster at ~450ms. Yi Large excels at Long document 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

Yi Large costs $0.06/1M input tokens and $0.12/1M output tokens. IBM Granite 3.1 8B costs $0.01 input and $0.02 output. IBM Granite 3.1 8B is 6.0x 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 8B offers 128K context at ~80ms. 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 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 Yi Large
response_a = client.chat.completions.create(
    model="yi-large",
    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

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Yi Large or IBM Granite 3.1 8B?

Yi Large (Open Source, 300B) offers 200K context. IBM Granite 3.1 8B (Enterprise, 8B) offers Enterprise compliance. Choose Yi Large for Long document analysis or IBM Granite 3.1 8B for Regulated industries.

How much does Yi Large cost vs IBM Granite 3.1 8B?

Yi Large: $0.06/1M input, $0.12/1M 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 Yi Large and IBM Granite 3.1 8B by changing the model parameter. No code changes needed.

Related Comparisons

Yi Large vs Gemma 3 27B Yi Large vs Llama 4 Scout Yi Large vs Llama 4 Maverick Yi Large vs Llama 3.3 70B Yi Large vs Llama 3.1 405B Yi Large vs Llama 3.1 70B Turbo

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