Pixtral Large vs Solar Pro

Compare Pixtral Large and Solar Pro: 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 Mistral models All Upstage models What is an LLM API? Python Quickstart What is inference?
Feature Pixtral Large Solar Pro
CategoryVisionOpen Source
Parameters124B22B
Context Window128K32K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.10/1M tokens$0.04/1M tokens
Latency~450ms~180ms

Choose Pixtral Large when:

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

Strong vision, Good reasoning, Multilingual

Choose Solar Pro when:

  • ✓ General purpose
  • ✓ Korean content
  • ✓ Chatbots
Key Strengths:

Good instruction following, Compact, Efficient

Verdict: Pixtral Large vs Solar Pro

For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Pixtral Large excels at Image analysis while Solar Pro is better for General purpose. 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. Solar Pro costs $0.02 input and $0.04 output. Solar Pro 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. Solar Pro offers 32K context at ~180ms. Pixtral Large has the larger context window.

Best For

Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. Solar Pro (Open Source) works best for: General purpose, Korean content, Chatbots.

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 Solar Pro
response_b = client.chat.completions.create(
    model="solar-pro",
    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, Pixtral Large or Solar Pro?

Pixtral Large (Vision, 124B) offers Strong vision. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Pixtral Large for Image analysis or Solar Pro for General purpose.

How much does Pixtral Large cost vs Solar Pro?

Pixtral Large: $0.06/1M input, $0.10/1M output. Solar Pro: $0.02/1M input, $0.04/1M 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 Solar Pro by changing the model parameter. No code changes needed.

Related Comparisons

Pixtral Large vs Vedika Vision Pixtral Large vs Gemma 3 27B Pixtral Large vs Llama 4 Scout Pixtral Large vs Llama 4 Maverick Pixtral Large vs Llama 3.3 70B Pixtral Large vs Llama 3.1 405B

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