Qwen 2.5 VL 7B vs IBM Granite 3.1 2B

Compare Qwen 2.5 VL 7B and IBM Granite 3.1 2B: 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 Qwen 2.5 VL 7B IBM Granite 3.1 2B
CategoryVisionCompact
Parameters7B2B
Context Window128K128K
Input Price$0.01/1M tokens$0.004/1M tokens
Output Price$0.02/1M tokens$0.008/1M tokens
Latency~150ms~30ms

Choose Qwen 2.5 VL 7B when:

  • ✓ Budget image analysis
  • ✓ Simple OCR
  • ✓ Quick visual Q&A
Key Strengths:

Low cost vision, Asian language OCR, Fast

Choose IBM Granite 3.1 2B when:

  • ✓ Edge enterprise
  • ✓ Compliance-required
  • ✓ Fast classification
Key Strengths:

Enterprise-grade, Tiny, 128K context

Verdict: Qwen 2.5 VL 7B vs IBM Granite 3.1 2B

For cost efficiency, IBM Granite 3.1 2B wins at $0.004/1M input tokens. For speed, Qwen 2.5 VL 7B is faster at ~150ms. Qwen 2.5 VL 7B excels at Budget image analysis while IBM Granite 3.1 2B is better for Edge enterprise. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Qwen 2.5 VL 7B costs $0.01/1M input tokens and $0.02/1M output tokens. IBM Granite 3.1 2B costs $0.004 input and $0.008 output. IBM Granite 3.1 2B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 VL 7B has a 128K context window with ~150ms latency. IBM Granite 3.1 2B offers 128K context at ~30ms. Both have identical context windows.

Best For

Qwen 2.5 VL 7B (Vision) is optimized for: Budget image analysis, Simple OCR, Quick visual Q&A. IBM Granite 3.1 2B (Compact) works best for: Edge enterprise, Compliance-required, Fast classification.

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 Qwen 2.5 VL 7B
response_a = client.chat.completions.create(
    model="qwen-2-5-vl-7b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use IBM Granite 3.1 2B
response_b = client.chat.completions.create(
    model="granite-3-1-2b",
    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, Qwen 2.5 VL 7B or IBM Granite 3.1 2B?

Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. IBM Granite 3.1 2B (Compact, 2B) offers Enterprise-grade. Choose Qwen 2.5 VL 7B for Budget image analysis or IBM Granite 3.1 2B for Edge enterprise.

How much does Qwen 2.5 VL 7B cost vs IBM Granite 3.1 2B?

Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M output. IBM Granite 3.1 2B: $0.004/1M input, $0.008/1M 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 Qwen 2.5 VL 7B and IBM Granite 3.1 2B 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.