StarCoder2 15B vs Llama Guard 3 8B
Compare StarCoder2 15B and Llama Guard 3 8B: 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 | StarCoder2 15B | Llama Guard 3 8B |
|---|---|---|
| Category | Code | Safety |
| Parameters | 15B | 8B |
| Context Window | 16K | 128K |
| Input Price | $0.02/1M tokens | $0.01/1M tokens |
| Output Price | $0.03/1M tokens | $0.02/1M tokens |
| Latency | ~150ms | ~60ms |
Choose StarCoder2 15B when:
- ✓ Code completion
- ✓ Code generation
- ✓ Bug fixing
Strong coding, 600+ languages, Open weights
Choose Llama Guard 3 8B when:
- ✓ Content moderation
- ✓ Safety filtering
- ✓ Input validation
Safety classification, Fast, Open weights
Verdict: StarCoder2 15B vs Llama Guard 3 8B
For cost efficiency, Llama Guard 3 8B wins at $0.01/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. StarCoder2 15B excels at Code completion while Llama Guard 3 8B is better for Content moderation. 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. Llama Guard 3 8B costs $0.01 input and $0.02 output. Llama Guard 3 8B is 2.0x 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. Llama Guard 3 8B offers 128K context at ~60ms. Llama Guard 3 8B has the larger context window.
Best For
StarCoder2 15B (Code) is optimized for: Code completion, Code generation, Bug fixing. Llama Guard 3 8B (Safety) works best for: Content moderation, Safety filtering, Input validation.
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 Llama Guard 3 8B
response_b = client.chat.completions.create(
model="llama-guard-3-8b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, StarCoder2 15B or Llama Guard 3 8B?
StarCoder2 15B (Code, 15B) offers Strong coding. Llama Guard 3 8B (Safety, 8B) offers Safety classification. Choose StarCoder2 15B for Code completion or Llama Guard 3 8B for Content moderation.
How much does StarCoder2 15B cost vs Llama Guard 3 8B?
StarCoder2 15B: $0.02/1M input, $0.03/1M output. Llama Guard 3 8B: $0.01/1M input, $0.02/1M 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 Llama Guard 3 8B 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.