Llama 3.2 90B Vision vs StarCoder2 7B

Compare Llama 3.2 90B Vision and StarCoder2 7B: 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 3.2 90B Vision StarCoder2 7B
CategoryVisionCode
Parameters90B7B
Context Window128K16K
Input Price$0.06/1M tokens$0.008/1M tokens
Output Price$0.10/1M tokens$0.015/1M tokens
Latency~500ms~60ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose StarCoder2 7B when:

  • ✓ Code completion
  • ✓ Quick generation
  • ✓ Editor integration
Key Strengths:

Open weights, Many languages, Fast

Verdict: Llama 3.2 90B Vision vs StarCoder2 7B

For cost efficiency, StarCoder2 7B wins at $0.008/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Llama 3.2 90B Vision excels at Chart image analysis while StarCoder2 7B is better for Code completion. 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. StarCoder2 7B costs $0.008 input and $0.015 output. StarCoder2 7B is 7.5x 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. StarCoder2 7B offers 16K context at ~60ms. 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. StarCoder2 7B (Code) works best for: Code completion, Quick generation, Editor integration.

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 StarCoder2 7B
response_b = client.chat.completions.create(
    model="starcoder2-7b",
    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 3.2 90B Vision or StarCoder2 7B?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. StarCoder2 7B (Code, 7B) offers Open weights. Choose Llama 3.2 90B Vision for Chart image analysis or StarCoder2 7B for Code completion.

How much does Llama 3.2 90B Vision cost vs StarCoder2 7B?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. StarCoder2 7B: $0.008/1M input, $0.015/1M 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 StarCoder2 7B 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.