Yi Large vs StarCoder2 15B

Compare Yi Large and StarCoder2 15B: 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 BigCode models What is an LLM API? Python Quickstart What is inference?
Feature Yi Large StarCoder2 15B
CategoryOpen SourceCode
Parameters300B15B
Context Window200K16K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.12/1M tokens$0.03/1M tokens
Latency~450ms~150ms

Choose Yi Large when:

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

200K context, Strong analysis, Good reasoning

Choose StarCoder2 15B when:

  • ✓ Code completion
  • ✓ Code generation
  • ✓ Bug fixing
Key Strengths:

Strong coding, 600+ languages, Open weights

Verdict: Yi Large vs StarCoder2 15B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Yi Large excels at Long document analysis while StarCoder2 15B is better for Code completion. 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. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 3.0x 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. StarCoder2 15B offers 16K context at ~150ms. Yi Large has the larger context window.

Best For

Yi Large (Open Source) is optimized for: Long document analysis, Research, Complex tasks. StarCoder2 15B (Code) works best for: Code completion, Code generation, Bug fixing.

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 StarCoder2 15B
response_b = client.chat.completions.create(
    model="starcoder2-15b",
    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 StarCoder2 15B?

Yi Large (Open Source, 300B) offers 200K context. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Yi Large for Long document analysis or StarCoder2 15B for Code completion.

How much does Yi Large cost vs StarCoder2 15B?

Yi Large: $0.06/1M input, $0.12/1M output. StarCoder2 15B: $0.02/1M input, $0.03/1M 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 StarCoder2 15B 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.