Llama 4 Maverick vs Qwen 2.5 VL 7B

Compare Llama 4 Maverick and Qwen 2.5 VL 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 4 Maverick Qwen 2.5 VL 7B
CategoryOpen SourceVision
Parameters400B (17B active)7B
Context Window256K128K
Input Price$0.07/1M tokens$0.01/1M tokens
Output Price$0.12/1M tokens$0.02/1M tokens
Latency~450ms~150ms

Choose Llama 4 Maverick when:

  • ✓ Complex analysis
  • ✓ Professional reports
  • ✓ Deep reasoning
Key Strengths:

Superior reasoning, 256K context, Excellent multilingual

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

Verdict: Llama 4 Maverick vs Qwen 2.5 VL 7B

For cost efficiency, Qwen 2.5 VL 7B wins at $0.01/1M input tokens. For speed, Qwen 2.5 VL 7B is faster at ~150ms. Llama 4 Maverick excels at Complex analysis while Qwen 2.5 VL 7B is better for Budget image analysis. 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 4 Maverick costs $0.07/1M input tokens and $0.12/1M output tokens. Qwen 2.5 VL 7B costs $0.01 input and $0.02 output. Qwen 2.5 VL 7B is 7.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 4 Maverick has a 256K context window with ~450ms latency. Qwen 2.5 VL 7B offers 128K context at ~150ms. Llama 4 Maverick has the larger context window.

Best For

Llama 4 Maverick (Open Source) is optimized for: Complex analysis, Professional reports, Deep reasoning. Qwen 2.5 VL 7B (Vision) works best for: Budget image analysis, Simple OCR, Quick visual Q&A.

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 4 Maverick
response_a = client.chat.completions.create(
    model="llama-4-maverick",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Qwen 2.5 VL 7B
response_b = client.chat.completions.create(
    model="qwen-2-5-vl-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 4 Maverick or Qwen 2.5 VL 7B?

Llama 4 Maverick (Open Source, 400B (17B active)) offers Superior reasoning. Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Choose Llama 4 Maverick for Complex analysis or Qwen 2.5 VL 7B for Budget image analysis.

How much does Llama 4 Maverick cost vs Qwen 2.5 VL 7B?

Llama 4 Maverick: $0.07/1M input, $0.12/1M output. Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M 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 4 Maverick and Qwen 2.5 VL 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.