Qwen 2.5 VL 7B vs Voyage Large 2

Compare Qwen 2.5 VL 7B and Voyage Large 2: 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 Voyage Large 2
CategoryVisionEmbedding
Parameters7B~500M
Context Window128K16K
Input Price$0.01/1M tokens$0.002/1M tokens
Output Price$0.02/1M tokensN/A/1M tokens
Latency~150ms~25ms

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 Voyage Large 2 when:

  • ✓ Code search
  • ✓ Long document RAG
  • ✓ Semantic matching
Key Strengths:

16K context, High quality, Good for code

Verdict: Qwen 2.5 VL 7B vs Voyage Large 2

For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Qwen 2.5 VL 7B is faster at ~150ms. Qwen 2.5 VL 7B excels at Budget image analysis while Voyage Large 2 is better for Code search. 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. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 5.0x 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. Voyage Large 2 offers 16K context at ~25ms. Qwen 2.5 VL 7B has the larger context window.

Best For

Qwen 2.5 VL 7B (Vision) is optimized for: Budget image analysis, Simple OCR, Quick visual Q&A. Voyage Large 2 (Embedding) works best for: Code search, Long document RAG, Semantic matching.

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 Voyage Large 2
response_b = client.chat.completions.create(
    model="voyage-large-2",
    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 Voyage Large 2?

Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Qwen 2.5 VL 7B for Budget image analysis or Voyage Large 2 for Code search.

How much does Qwen 2.5 VL 7B cost vs Voyage Large 2?

Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M output. Voyage Large 2: $0.002/1M input, N/A/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 Voyage Large 2 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.