DeepSeek R1 Distill 8B vs StarCoder2 15B
Compare DeepSeek R1 Distill 8B 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
| Feature | DeepSeek R1 Distill 8B | StarCoder2 15B |
|---|---|---|
| Category | Reasoning | Code |
| Parameters | 8B | 15B |
| Context Window | 128K | 16K |
| Input Price | $0.01/1M tokens | $0.02/1M tokens |
| Output Price | $0.02/1M tokens | $0.03/1M tokens |
| Latency | ~100ms | ~150ms |
Choose DeepSeek R1 Distill 8B when:
- ✓ Simple reasoning
- ✓ Classification with logic
- ✓ Edge
Very fast reasoning, Low cost, Compact
Choose StarCoder2 15B when:
- ✓ Code completion
- ✓ Code generation
- ✓ Bug fixing
Strong coding, 600+ languages, Open weights
Verdict: DeepSeek R1 Distill 8B vs StarCoder2 15B
For cost efficiency, DeepSeek R1 Distill 8B wins at $0.01/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. DeepSeek R1 Distill 8B excels at Simple reasoning 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
DeepSeek R1 Distill 8B costs $0.01/1M input tokens and $0.02/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. DeepSeek R1 Distill 8B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 Distill 8B has a 128K context window with ~100ms latency. StarCoder2 15B offers 16K context at ~150ms. DeepSeek R1 Distill 8B has the larger context window.
Best For
DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. 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 DeepSeek R1 Distill 8B
response_a = client.chat.completions.create(
model="deepseek-r1-distill-8b",
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"}]
)Frequently Asked Questions
Which is better, DeepSeek R1 Distill 8B or StarCoder2 15B?
DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. StarCoder2 15B (Code, 15B) offers Strong coding. Choose DeepSeek R1 Distill 8B for Simple reasoning or StarCoder2 15B for Code completion.
How much does DeepSeek R1 Distill 8B cost vs StarCoder2 15B?
DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M 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 DeepSeek R1 Distill 8B 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.