Llama 3.2 90B Vision vs MiniMax-01

Compare Llama 3.2 90B Vision and MiniMax-01: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Meta models All MiniMax models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 90B Vision MiniMax-01
CategoryVisionOpen Source
Parameters90B456B (46B active)
Context Window128K4M
Input Price$0.06/1M tokens$0.05/1M tokens
Output Price$0.10/1M tokens$0.10/1M tokens
Latency~500ms~400ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose MiniMax-01 when:

  • ✓ Full library processing
  • ✓ Massive document analysis
  • ✓ Historical research
Key Strengths:

4M context, MoE efficiency, Strong multilingual

Verdict: Llama 3.2 90B Vision vs MiniMax-01

For cost efficiency, MiniMax-01 wins at $0.05/1M input tokens. For speed, MiniMax-01 is faster at ~400ms. Llama 3.2 90B Vision excels at Chart image analysis while MiniMax-01 is better for Full library processing. 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. MiniMax-01 costs $0.05 input and $0.10 output. MiniMax-01 is 1.2x 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. MiniMax-01 offers 4M context at ~400ms. MiniMax-01 has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. MiniMax-01 (Open Source) works best for: Full library processing, Massive document analysis, Historical research.

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 MiniMax-01
response_b = client.chat.completions.create(
    model="minimax-01",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 90B Vision or MiniMax-01?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. MiniMax-01 (Open Source, 456B (46B active)) offers 4M context. Choose Llama 3.2 90B Vision for Chart image analysis or MiniMax-01 for Full library processing.

How much does Llama 3.2 90B Vision cost vs MiniMax-01?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. MiniMax-01: $0.05/1M 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 3.2 90B Vision and MiniMax-01 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.