Llama 3.2 11B Vision vs DeepSeek R1 Distill 8B
Compare Llama 3.2 11B Vision and DeepSeek R1 Distill 8B: 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 | DeepSeek R1 Distill 8B |
|---|---|---|
| Category | Vision | Reasoning |
| Parameters | 11B | 8B |
| Context Window | 128K | 128K |
| Input Price | $0.02/1M tokens | $0.01/1M tokens |
| Output Price | $0.04/1M tokens | $0.02/1M tokens |
| Latency | ~200ms | ~100ms |
Choose Llama 3.2 11B Vision when:
- ✓ Image classification
- ✓ OCR
- ✓ Simple visual Q&A
Low cost vision, Fast, Compact
Choose DeepSeek R1 Distill 8B when:
- ✓ Simple reasoning
- ✓ Classification with logic
- ✓ Edge
Very fast reasoning, Low cost, Compact
Verdict: Llama 3.2 11B Vision vs DeepSeek R1 Distill 8B
For cost efficiency, DeepSeek R1 Distill 8B wins at $0.01/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. Llama 3.2 11B Vision excels at Image classification while DeepSeek R1 Distill 8B is better for Simple reasoning. 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. DeepSeek R1 Distill 8B costs $0.01 input and $0.02 output. DeepSeek R1 Distill 8B is 2.0x cheaper on input tokens. 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. DeepSeek R1 Distill 8B offers 128K context at ~100ms. Both have identical context windows.
Best For
Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. DeepSeek R1 Distill 8B (Reasoning) works best for: Simple reasoning, Classification with logic, Edge.
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 DeepSeek R1 Distill 8B
response_b = client.chat.completions.create(
model="deepseek-r1-distill-8b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.2 11B Vision or DeepSeek R1 Distill 8B?
Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. Choose Llama 3.2 11B Vision for Image classification or DeepSeek R1 Distill 8B for Simple reasoning.
How much does Llama 3.2 11B Vision cost vs DeepSeek R1 Distill 8B?
Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M 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 DeepSeek R1 Distill 8B 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.