StarCoder2 15B vs DeepSeek R1 Distill 32B

Compare StarCoder2 15B and DeepSeek R1 Distill 32B: 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 StarCoder2 15B DeepSeek R1 Distill 32B
CategoryCodeReasoning
Parameters15B32B
Context Window16K128K
Input Price$0.02/1M tokens$0.03/1M tokens
Output Price$0.03/1M tokens$0.06/1M tokens
Latency~150ms~250ms

Choose StarCoder2 15B when:

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

Strong coding, 600+ languages, Open weights

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: StarCoder2 15B vs DeepSeek R1 Distill 32B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. StarCoder2 15B excels at Code completion while DeepSeek R1 Distill 32B is better for Production reasoning. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

StarCoder2 15B costs $0.02/1M input tokens and $0.03/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. StarCoder2 15B is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

StarCoder2 15B has a 16K context window with ~150ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. DeepSeek R1 Distill 32B has the larger context window.

Best For

StarCoder2 15B (Code) is optimized for: Code completion, Code generation, Bug fixing. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured 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 StarCoder2 15B
response_a = client.chat.completions.create(
    model="starcoder2-15b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use DeepSeek R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    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, StarCoder2 15B or DeepSeek R1 Distill 32B?

StarCoder2 15B (Code, 15B) offers Strong coding. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose StarCoder2 15B for Code completion or DeepSeek R1 Distill 32B for Production reasoning.

How much does StarCoder2 15B cost vs DeepSeek R1 Distill 32B?

StarCoder2 15B: $0.02/1M input, $0.03/1M output. DeepSeek R1 Distill 32B: $0.03/1M 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 StarCoder2 15B and DeepSeek R1 Distill 32B 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.