GPT-4.1 Mini vs StarCoder2 15B

Compare GPT-4.1 Mini 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

All OpenAI models All BigCode models What is an LLM API? Python Quickstart What is inference?
Feature GPT-4.1 Mini StarCoder2 15B
CategoryFrontierCode
Parameters~200B15B
Context Window1M16K
Input Price$0.03/1M tokens$0.02/1M tokens
Output Price$0.08/1M tokens$0.03/1M tokens
Latency~250ms~150ms

Choose GPT-4.1 Mini when:

  • ✓ High-volume horoscopes
  • ✓ Batch analysis
  • ✓ Content at scale
Key Strengths:

70% cheaper than GPT-4.1, 1M context, Strong reasoning

Choose StarCoder2 15B when:

  • ✓ Code completion
  • ✓ Code generation
  • ✓ Bug fixing
Key Strengths:

Strong coding, 600+ languages, Open weights

Verdict: GPT-4.1 Mini vs StarCoder2 15B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. GPT-4.1 Mini excels at High-volume horoscopes 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

GPT-4.1 Mini costs $0.03/1M input tokens and $0.08/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GPT-4.1 Mini has a 1M context window with ~250ms latency. StarCoder2 15B offers 16K context at ~150ms. GPT-4.1 Mini has the larger context window.

Best For

GPT-4.1 Mini (Frontier) is optimized for: High-volume horoscopes, Batch analysis, Content at scale. 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 GPT-4.1 Mini
response_a = client.chat.completions.create(
    model="gpt-4-1-mini",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, GPT-4.1 Mini or StarCoder2 15B?

GPT-4.1 Mini (Frontier, ~200B) offers 70% cheaper than GPT-4.1. StarCoder2 15B (Code, 15B) offers Strong coding. Choose GPT-4.1 Mini for High-volume horoscopes or StarCoder2 15B for Code completion.

How much does GPT-4.1 Mini cost vs StarCoder2 15B?

GPT-4.1 Mini: $0.03/1M 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 GPT-4.1 Mini and StarCoder2 15B by changing the model parameter. No code changes needed.

Related Comparisons

GPT-4.1 Mini vs Vedika Code GPT-4.1 Mini vs GPT-4.1 GPT-4.1 Mini vs GPT-4o GPT-4.1 Mini vs Claude Opus 4 GPT-4.1 Mini vs Claude Sonnet 4 GPT-4.1 Mini vs Claude Opus 4.5

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.