Llama 3.2 11B Vision vs Mistral Small 3.1
Compare Llama 3.2 11B Vision and Mistral Small 3.1: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Llama 3.2 11B Vision | Mistral Small 3.1 |
|---|---|---|
| Category | Vision | Compact |
| Parameters | 11B | 24B |
| Context Window | 128K | 128K |
| Input Price | $0.02/1M tokens | $0.02/1M tokens |
| Output Price | $0.04/1M tokens | $0.04/1M tokens |
| Latency | ~200ms | ~120ms |
Choose Llama 3.2 11B Vision when:
- ✓ Image classification
- ✓ OCR
- ✓ Simple visual Q&A
Low cost vision, Fast, Compact
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Verdict: Llama 3.2 11B Vision vs Mistral Small 3.1
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Llama 3.2 11B Vision excels at Image classification while Mistral Small 3.1 is better for Lightweight tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Llama 3.2 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. Mistral Small 3.1 costs $0.02 input and $0.04 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Mistral Small 3.1 offers 128K context at ~120ms. Both have identical context windows.
Best For
Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Mistral Small 3.1 (Compact) works best for: Lightweight tasks, Classification, Simple generation.
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 Llama 3.2 11B Vision
response_a = client.chat.completions.create(
model="llama-3-2-11b-vision",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Mistral Small 3.1
response_b = client.chat.completions.create(
model="mistral-small-3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.2 11B Vision or Mistral Small 3.1?
Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose Llama 3.2 11B Vision for Image classification or Mistral Small 3.1 for Lightweight tasks.
How much does Llama 3.2 11B Vision cost vs Mistral Small 3.1?
Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Mistral Small 3.1: $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 Llama 3.2 11B Vision and Mistral Small 3.1 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.