Llama 3.1 8B Turbo vs Llama 3.2 90B Vision

Compare Llama 3.1 8B Turbo and Llama 3.2 90B Vision: 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 Llama 3.1 8B Turbo Llama 3.2 90B Vision
CategoryCompactVision
Parameters8B90B
Context Window128K128K
Input Price$0.01/1M tokens$0.06/1M tokens
Output Price$0.02/1M tokens$0.10/1M tokens
Latency~60ms~500ms

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Choose Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Verdict: Llama 3.1 8B Turbo vs Llama 3.2 90B Vision

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Llama 3.1 8B Turbo excels at Intent classification while Llama 3.2 90B Vision is better for Chart image analysis. 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 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Llama 3.1 8B Turbo is 6.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. Llama 3.2 90B Vision (Vision) works best for: Chart image analysis, Document scanning, Visual Q&A.

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 3.1 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.2 90B Vision
response_b = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 8B Turbo or Llama 3.2 90B Vision?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Llama 3.1 8B Turbo for Intent classification or Llama 3.2 90B Vision for Chart image analysis.

How much does Llama 3.1 8B Turbo cost vs Llama 3.2 90B Vision?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M 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 3.1 8B Turbo and Llama 3.2 90B Vision 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.