Qwen 2.5 Coder 32B vs Yi Large

Compare Qwen 2.5 Coder 32B 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

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Feature Qwen 2.5 Coder 32B Yi Large
CategoryCodeOpen Source
Parameters32B300B
Context Window128K200K
Input Price$0.03/1M tokens$0.06/1M tokens
Output Price$0.05/1M tokens$0.12/1M tokens
Latency~200ms~450ms

Choose Qwen 2.5 Coder 32B when:

  • ✓ Faith-tech code
  • ✓ API development
  • ✓ Frontend code
Key Strengths:

Strong code generation, API understanding, Good frameworks

Choose Yi Large when:

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

200K context, Strong analysis, Good reasoning

Verdict: Qwen 2.5 Coder 32B vs Yi Large

For cost efficiency, Qwen 2.5 Coder 32B wins at $0.03/1M input tokens. For speed, Qwen 2.5 Coder 32B is faster at ~200ms. Qwen 2.5 Coder 32B excels at Faith-tech code 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

Qwen 2.5 Coder 32B costs $0.03/1M input tokens and $0.05/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Qwen 2.5 Coder 32B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 Coder 32B has a 128K context window with ~200ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.

Best For

Qwen 2.5 Coder 32B (Code) is optimized for: Faith-tech code, API development, Frontend code. 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 Qwen 2.5 Coder 32B
response_a = client.chat.completions.create(
    model="qwen-2-5-coder-32b",
    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, Qwen 2.5 Coder 32B or Yi Large?

Qwen 2.5 Coder 32B (Code, 32B) offers Strong code generation. Yi Large (Open Source, 300B) offers 200K context. Choose Qwen 2.5 Coder 32B for Faith-tech code or Yi Large for Long document analysis.

How much does Qwen 2.5 Coder 32B cost vs Yi Large?

Qwen 2.5 Coder 32B: $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 Qwen 2.5 Coder 32B and Yi Large 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.