Gemma 3 27B vs Yi Large

Compare Gemma 3 27B and Yi Large: 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 Google models All 01.AI models What is an LLM API? Python Quickstart What is inference?
Feature Gemma 3 27B Yi Large
CategoryOpen SourceOpen Source
Parameters27B300B
Context Window128K200K
Input Price$0.03/1M tokens$0.06/1M tokens
Output Price$0.05/1M tokens$0.12/1M tokens
Latency~180ms~450ms

Choose Gemma 3 27B when:

  • ✓ Fast chatbots
  • ✓ Content moderation
  • ✓ Temple kiosks
Key Strengths:

Fast inference, Reliable output, Strong English/Hindi

Choose Yi Large when:

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

200K context, Strong analysis, Good reasoning

Verdict: Gemma 3 27B vs Yi Large

For cost efficiency, Gemma 3 27B wins at $0.03/1M input tokens. For speed, Gemma 3 27B is faster at ~180ms. Gemma 3 27B excels at Fast chatbots while Yi Large is better for Long document 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

Gemma 3 27B costs $0.03/1M input tokens and $0.05/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Gemma 3 27B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 27B has a 128K context window with ~180ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.

Best For

Gemma 3 27B (Open Source) is optimized for: Fast chatbots, Content moderation, Temple kiosks. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.

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 Gemma 3 27B
response_a = client.chat.completions.create(
    model="gemma-3-27b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Yi Large
response_b = client.chat.completions.create(
    model="yi-large",
    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, Gemma 3 27B or Yi Large?

Gemma 3 27B (Open Source, 27B) offers Fast inference. Yi Large (Open Source, 300B) offers 200K context. Choose Gemma 3 27B for Fast chatbots or Yi Large for Long document analysis.

How much does Gemma 3 27B cost vs Yi Large?

Gemma 3 27B: $0.03/1M input, $0.05/1M output. Yi Large: $0.06/1M input, $0.12/1M 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 Gemma 3 27B and Yi Large by changing the model parameter. No code changes needed.

Related Comparisons

Gemma 3 27B vs Llama 4 Scout Gemma 3 27B vs Llama 4 Maverick Gemma 3 27B vs Llama 3.3 70B Gemma 3 27B vs Llama 3.1 405B Gemma 3 27B vs Llama 3.1 70B Turbo Gemma 3 27B vs DeepSeek V3

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