Llama 3.2 90B Vision vs DBRX
Compare Llama 3.2 90B 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 90B Vision | DBRX |
|---|---|---|
| Category | Vision | Enterprise |
| Parameters | 90B | 132B (36B active) |
| Context Window | 128K | 32K |
| Input Price | $0.06/1M tokens | $0.04/1M tokens |
| Output Price | $0.10/1M tokens | $0.08/1M tokens |
| Latency | ~500ms | ~300ms |
Choose Llama 3.2 90B Vision when:
- ✓ Chart image analysis
- ✓ Document scanning
- ✓ Visual Q&A
Vision + language, Open weights, Good reasoning
Choose DBRX when:
- ✓ Data pipelines
- ✓ Analytics
- ✓ Enterprise workflows
MoE efficient, Good for data, Enterprise-grade
Verdict: Llama 3.2 90B Vision vs DBRX
For cost efficiency, DBRX wins at $0.04/1M input tokens. For speed, DBRX is faster at ~300ms. Llama 3.2 90B Vision excels at Chart image analysis 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 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. DBRX costs $0.04 input and $0.08 output. DBRX is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.2 90B Vision has a 128K context window with ~500ms latency. DBRX offers 32K context at ~300ms. Llama 3.2 90B Vision has the larger context window.
Best For
Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, 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 90B Vision
response_a = client.chat.completions.create(
model="llama-3-2-90b-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 90B Vision or DBRX?
Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Choose Llama 3.2 90B Vision for Chart image analysis or DBRX for Data pipelines.
How much does Llama 3.2 90B Vision cost vs DBRX?
Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M 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 90B 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.