Qwen 2.5 VL 72B vs Nomic Embed Text v1.5

Compare Qwen 2.5 VL 72B and Nomic Embed Text v1.5: 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 72B Nomic Embed Text v1.5
CategoryVisionEmbedding
Parameters72B137M
Context Window128K8K
Input Price$0.05/1M tokens$0.001/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~400ms~10ms

Choose Qwen 2.5 VL 72B when:

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

Vision + language, Strong Asian text OCR, Good reasoning

Choose Nomic Embed Text v1.5 when:

  • ✓ Long document embedding
  • ✓ Semantic search
  • ✓ Clustering
Key Strengths:

8K context, Very low cost, Fast

Verdict: Qwen 2.5 VL 72B vs Nomic Embed Text v1.5

For cost efficiency, Nomic Embed Text v1.5 wins at $0.001/1M input tokens. For speed, Nomic Embed Text v1.5 is faster at ~10ms. Qwen 2.5 VL 72B excels at Document analysis while Nomic Embed Text v1.5 is better for Long document embedding. 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 72B costs $0.05/1M input tokens and $0.10/1M output tokens. Nomic Embed Text v1.5 costs $0.001 input and N/A output. Nomic Embed Text v1.5 is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 VL 72B has a 128K context window with ~400ms latency. Nomic Embed Text v1.5 offers 8K context at ~10ms. Qwen 2.5 VL 72B has the larger context window.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. Nomic Embed Text v1.5 (Embedding) works best for: Long document embedding, Semantic search, Clustering.

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 72B
response_a = client.chat.completions.create(
    model="qwen-2-5-vl-72b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Nomic Embed Text v1.5
response_b = client.chat.completions.create(
    model="nomic-embed-text-v1-5",
    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 72B or Nomic Embed Text v1.5?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose Qwen 2.5 VL 72B for Document analysis or Nomic Embed Text v1.5 for Long document embedding.

How much does Qwen 2.5 VL 72B cost vs Nomic Embed Text v1.5?

Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. Nomic Embed Text v1.5: $0.001/1M 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 72B and Nomic Embed Text v1.5 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.