Pixtral 12B vs E5 Large v2

Compare Pixtral 12B and E5 Large v2: 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 12B E5 Large v2
CategoryVisionEmbedding
Parameters12B335M
Context Window128K512
Input Price$0.02/1M tokens$0.002/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~20ms

Choose Pixtral 12B when:

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

Low cost vision, Fast, Compact

Choose E5 Large v2 when:

  • ✓ Classical text search
  • ✓ RAG pipelines
  • ✓ Knowledge retrieval
Key Strengths:

1024 dimensions, Fast, Multi-lingual

Verdict: Pixtral 12B vs E5 Large v2

For cost efficiency, E5 Large v2 wins at $0.002/1M input tokens. For speed, Pixtral 12B is faster at ~200ms. Pixtral 12B excels at Simple image tasks while E5 Large v2 is better for Classical text search. 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. E5 Large v2 costs $0.002 input and N/A output. E5 Large v2 is 10.0x 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. E5 Large v2 offers 512 context at ~20ms. Pixtral 12B has the larger context window.

Best For

Pixtral 12B (Vision) is optimized for: Simple image tasks, Classification, OCR. E5 Large v2 (Embedding) works best for: Classical text search, RAG pipelines, Knowledge retrieval.

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 E5 Large v2
response_b = client.chat.completions.create(
    model="e5-large-v2",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Pixtral 12B or E5 Large v2?

Pixtral 12B (Vision, 12B) offers Low cost vision. E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Choose Pixtral 12B for Simple image tasks or E5 Large v2 for Classical text search.

How much does Pixtral 12B cost vs E5 Large v2?

Pixtral 12B: $0.02/1M input, $0.04/1M output. E5 Large v2: $0.002/1M input, N/A/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 E5 Large v2 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.