Pixtral 12B vs Yi Large

Compare Pixtral 12B and Yi Large: 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 01.AI models What is an LLM API? Python Quickstart What is inference?
Feature Pixtral 12B Yi Large
CategoryVisionOpen Source
Parameters12B300B
Context Window128K200K
Input Price$0.02/1M tokens$0.06/1M tokens
Output Price$0.04/1M tokens$0.12/1M tokens
Latency~200ms~450ms

Choose Pixtral 12B when:

  • ✓ Simple image tasks
  • ✓ Classification
  • ✓ OCR
Key Strengths:

Low cost vision, Fast, Compact

Choose Yi Large when:

  • ✓ Long document analysis
  • ✓ Research
  • ✓ Complex tasks
Key Strengths:

200K context, Strong analysis, Good reasoning

Verdict: Pixtral 12B vs Yi Large

For cost efficiency, Pixtral 12B wins at $0.02/1M input tokens. For speed, Pixtral 12B is faster at ~200ms. Pixtral 12B excels at Simple image tasks while Yi Large is better for Long document analysis. 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 12B costs $0.02/1M input tokens and $0.04/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Pixtral 12B is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Pixtral 12B has a 128K context window with ~200ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.

Best For

Pixtral 12B (Vision) is optimized for: Simple image tasks, Classification, OCR. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.

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 12B
response_a = client.chat.completions.create(
    model="pixtral-12b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Yi Large
response_b = client.chat.completions.create(
    model="yi-large",
    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 12B or Yi Large?

Pixtral 12B (Vision, 12B) offers Low cost vision. Yi Large (Open Source, 300B) offers 200K context. Choose Pixtral 12B for Simple image tasks or Yi Large for Long document analysis.

How much does Pixtral 12B cost vs Yi Large?

Pixtral 12B: $0.02/1M input, $0.04/1M output. Yi Large: $0.06/1M input, $0.12/1M 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 12B and Yi Large by changing the model parameter. No code changes needed.

Related Comparisons

Pixtral 12B vs Vedika Vision Pixtral 12B vs Gemma 3 27B Pixtral 12B vs Llama 4 Scout Pixtral 12B vs Llama 4 Maverick Pixtral 12B vs Llama 3.3 70B Pixtral 12B vs Llama 3.1 405B

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