Yi Large vs Code Llama 70B

Compare Yi Large and Code Llama 70B: 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 Meta models What is an LLM API? Python Quickstart What is inference?
Feature Yi Large Code Llama 70B
CategoryOpen SourceCode
Parameters300B70B
Context Window200K100K
Input Price$0.06/1M tokens$0.04/1M tokens
Output Price$0.12/1M tokens$0.06/1M tokens
Latency~450ms~300ms

Choose Yi Large when:

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

200K context, Strong analysis, Good reasoning

Choose Code Llama 70B when:

  • ✓ Large codebases
  • ✓ Code review
  • ✓ Refactoring
Key Strengths:

100K context, Strong coding, Fill-in-middle

Verdict: Yi Large vs Code Llama 70B

For cost efficiency, Code Llama 70B wins at $0.04/1M input tokens. For speed, Code Llama 70B is faster at ~300ms. Yi Large excels at Long document analysis while Code Llama 70B is better for Large codebases. 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. Code Llama 70B costs $0.04 input and $0.06 output. Code Llama 70B is 1.5x 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. Code Llama 70B offers 100K context at ~300ms. Yi Large has the larger context window.

Best For

Yi Large (Open Source) is optimized for: Long document analysis, Research, Complex tasks. Code Llama 70B (Code) works best for: Large codebases, Code review, Refactoring.

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 Code Llama 70B
response_b = client.chat.completions.create(
    model="codellama-70b",
    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, Yi Large or Code Llama 70B?

Yi Large (Open Source, 300B) offers 200K context. Code Llama 70B (Code, 70B) offers 100K context. Choose Yi Large for Long document analysis or Code Llama 70B for Large codebases.

How much does Yi Large cost vs Code Llama 70B?

Yi Large: $0.06/1M input, $0.12/1M output. Code Llama 70B: $0.04/1M input, $0.06/1M 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 Code Llama 70B 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.