DBRX vs StarCoder2 15B
Compare DBRX 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 | DBRX | StarCoder2 15B |
|---|---|---|
| Category | Enterprise | Code |
| Parameters | 132B (36B active) | 15B |
| Context Window | 32K | 16K |
| Input Price | $0.04/1M tokens | $0.02/1M tokens |
| Output Price | $0.08/1M tokens | $0.03/1M tokens |
| Latency | ~300ms | ~150ms |
Choose DBRX when:
- ✓ Data pipelines
- ✓ Analytics
- ✓ Enterprise workflows
MoE efficient, Good for data, Enterprise-grade
Choose StarCoder2 15B when:
- ✓ Code completion
- ✓ Code generation
- ✓ Bug fixing
Strong coding, 600+ languages, Open weights
Verdict: DBRX vs StarCoder2 15B
For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. DBRX excels at Data pipelines 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
DBRX costs $0.04/1M input tokens and $0.08/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DBRX has a 32K context window with ~300ms latency. StarCoder2 15B offers 16K context at ~150ms. DBRX has the larger context window.
Best For
DBRX (Enterprise) is optimized for: Data pipelines, Analytics, Enterprise workflows. 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 DBRX
response_a = client.chat.completions.create(
model="dbrx",
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, DBRX or StarCoder2 15B?
DBRX (Enterprise, 132B (36B active)) offers MoE efficient. StarCoder2 15B (Code, 15B) offers Strong coding. Choose DBRX for Data pipelines or StarCoder2 15B for Code completion.
How much does DBRX cost vs StarCoder2 15B?
DBRX: $0.04/1M input, $0.08/1M 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 DBRX 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.