Pixtral Large vs StarCoder2 15B

Compare Pixtral Large 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

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Feature Pixtral Large StarCoder2 15B
CategoryVisionCode
Parameters124B15B
Context Window128K16K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.10/1M tokens$0.03/1M tokens
Latency~450ms~150ms

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Choose StarCoder2 15B when:

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

Strong coding, 600+ languages, Open weights

Verdict: Pixtral Large vs StarCoder2 15B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Pixtral Large excels at Image analysis 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

Pixtral Large costs $0.06/1M input tokens and $0.10/1M output tokens. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Pixtral Large has a 128K context window with ~450ms latency. StarCoder2 15B offers 16K context at ~150ms. Pixtral Large has the larger context window.

Best For

Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. 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 Pixtral Large
response_a = client.chat.completions.create(
    model="pixtral-large",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Pixtral Large or StarCoder2 15B?

Pixtral Large (Vision, 124B) offers Strong vision. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Pixtral Large for Image analysis or StarCoder2 15B for Code completion.

How much does Pixtral Large cost vs StarCoder2 15B?

Pixtral Large: $0.06/1M input, $0.10/1M 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 Pixtral Large 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.