Llama 3.2 3B vs StarCoder2 7B

Compare Llama 3.2 3B and StarCoder2 7B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Meta models All BigCode models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 3B StarCoder2 7B
CategoryCompactCode
Parameters3B7B
Context Window128K16K
Input Price$0.006/1M tokens$0.008/1M tokens
Output Price$0.012/1M tokens$0.015/1M tokens
Latency~40ms~60ms

Choose Llama 3.2 3B when:

  • ✓ Mobile apps
  • ✓ Edge inference
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Edge-ready, Minimal latency

Choose StarCoder2 7B when:

  • ✓ Code completion
  • ✓ Quick generation
  • ✓ Editor integration
Key Strengths:

Open weights, Many languages, Fast

Verdict: Llama 3.2 3B vs StarCoder2 7B

For cost efficiency, Llama 3.2 3B wins at $0.006/1M input tokens. For speed, Llama 3.2 3B is faster at ~40ms. Llama 3.2 3B excels at Mobile apps while StarCoder2 7B 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

Llama 3.2 3B costs $0.006/1M input tokens and $0.012/1M output tokens. StarCoder2 7B costs $0.008 input and $0.015 output. Llama 3.2 3B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 3B has a 128K context window with ~40ms latency. StarCoder2 7B offers 16K context at ~60ms. Llama 3.2 3B has the larger context window.

Best For

Llama 3.2 3B (Compact) is optimized for: Mobile apps, Edge inference, Preprocessing. StarCoder2 7B (Code) works best for: Code completion, Quick generation, Editor integration.

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 Llama 3.2 3B
response_a = client.chat.completions.create(
    model="llama-3-2-3b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use StarCoder2 7B
response_b = client.chat.completions.create(
    model="starcoder2-7b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 3B or StarCoder2 7B?

Llama 3.2 3B (Compact, 3B) offers Ultra-small. StarCoder2 7B (Code, 7B) offers Open weights. Choose Llama 3.2 3B for Mobile apps or StarCoder2 7B for Code completion.

How much does Llama 3.2 3B cost vs StarCoder2 7B?

Llama 3.2 3B: $0.006/1M input, $0.012/1M output. StarCoder2 7B: $0.008/1M input, $0.015/1M 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 Llama 3.2 3B and StarCoder2 7B 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.