Mistral Small 3.1 vs StarCoder2 15B
Compare Mistral Small 3.1 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 | Mistral Small 3.1 | StarCoder2 15B |
|---|---|---|
| Category | Compact | Code |
| Parameters | 24B | 15B |
| Context Window | 128K | 16K |
| Input Price | $0.02/1M tokens | $0.02/1M tokens |
| Output Price | $0.04/1M tokens | $0.03/1M tokens |
| Latency | ~120ms | ~150ms |
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Choose StarCoder2 15B when:
- ✓ Code completion
- ✓ Code generation
- ✓ Bug fixing
Strong coding, 600+ languages, Open weights
Verdict: Mistral Small 3.1 vs StarCoder2 15B
For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks 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
Mistral Small 3.1 costs $0.02/1M input tokens and $0.04/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Mistral Small 3.1 has a 128K context window with ~120ms latency. StarCoder2 15B offers 16K context at ~150ms. Mistral Small 3.1 has the larger context window.
Best For
Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. 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 Mistral Small 3.1
response_a = client.chat.completions.create(
model="mistral-small-3-1",
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, Mistral Small 3.1 or StarCoder2 15B?
Mistral Small 3.1 (Compact, 24B) offers 128K context. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Mistral Small 3.1 for Lightweight tasks or StarCoder2 15B for Code completion.
How much does Mistral Small 3.1 cost vs StarCoder2 15B?
Mistral Small 3.1: $0.02/1M input, $0.04/1M 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 Mistral Small 3.1 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.