Llama 3.2 11B Vision vs DBRX
Compare Llama 3.2 11B Vision and DBRX: 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 | DBRX |
|---|---|---|
| Category | Vision | Enterprise |
| Parameters | 11B | 132B (36B active) |
| Context Window | 128K | 32K |
| Input Price | $0.02/1M tokens | $0.04/1M tokens |
| Output Price | $0.04/1M tokens | $0.08/1M tokens |
| Latency | ~200ms | ~300ms |
Choose Llama 3.2 11B Vision when:
- ✓ Image classification
- ✓ OCR
- ✓ Simple visual Q&A
Low cost vision, Fast, Compact
Choose DBRX when:
- ✓ Data pipelines
- ✓ Analytics
- ✓ Enterprise workflows
MoE efficient, Good for data, Enterprise-grade
Verdict: Llama 3.2 11B Vision vs DBRX
For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Llama 3.2 11B Vision excels at Image classification while DBRX is better for Data pipelines. 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. DBRX costs $0.04 input and $0.08 output. Llama 3.2 11B Vision 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. DBRX offers 32K context at ~300ms. Llama 3.2 11B Vision has the larger context window.
Best For
Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. DBRX (Enterprise) works best for: Data pipelines, Analytics, Enterprise workflows.
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 DBRX
response_b = client.chat.completions.create(
model="dbrx",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.2 11B Vision or DBRX?
Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Choose Llama 3.2 11B Vision for Image classification or DBRX for Data pipelines.
How much does Llama 3.2 11B Vision cost vs DBRX?
Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. DBRX: $0.04/1M input, $0.08/1M 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 DBRX 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.