Gemma 3 1B vs StarCoder2 7B

Compare Gemma 3 1B 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

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Feature Gemma 3 1B StarCoder2 7B
CategoryCompactCode
Parameters1B7B
Context Window32K16K
Input Price$0.003/1M tokens$0.008/1M tokens
Output Price$0.006/1M tokens$0.015/1M tokens
Latency~20ms~60ms

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Choose StarCoder2 7B when:

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

Open weights, Many languages, Fast

Verdict: Gemma 3 1B vs StarCoder2 7B

For cost efficiency, Gemma 3 1B wins at $0.003/1M input tokens. For speed, Gemma 3 1B is faster at ~20ms. Gemma 3 1B excels at Edge inference 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

Gemma 3 1B costs $0.003/1M input tokens and $0.006/1M output tokens. StarCoder2 7B costs $0.008 input and $0.015 output. Gemma 3 1B is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 1B has a 32K context window with ~20ms latency. StarCoder2 7B offers 16K context at ~60ms. Gemma 3 1B has the larger context window.

Best For

Gemma 3 1B (Compact) is optimized for: Edge inference, Classification, Routing. 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 Gemma 3 1B
response_a = client.chat.completions.create(
    model="gemma-3-1b",
    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, Gemma 3 1B or StarCoder2 7B?

Gemma 3 1B (Compact, 1B) offers Tiny footprint. StarCoder2 7B (Code, 7B) offers Open weights. Choose Gemma 3 1B for Edge inference or StarCoder2 7B for Code completion.

How much does Gemma 3 1B cost vs StarCoder2 7B?

Gemma 3 1B: $0.003/1M input, $0.006/1M 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 Gemma 3 1B 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.