Llama 3.1 405B vs Kling v2

Compare Llama 3.1 405B and Kling v2: 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 3.1 405B Kling v2
CategoryOpen SourceVideo
Parameters405B~10B
Context Window128KN/A
Input Price$0.08/1M tokens$0.20/video/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~600ms~30s

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Choose Kling v2 when:

  • ✓ Marketing videos
  • ✓ Product demos
  • ✓ Social media
Key Strengths:

High quality, Good motion, Realistic

Verdict: Llama 3.1 405B vs Kling v2

For cost efficiency, Llama 3.1 405B wins at $0.08/1M input tokens. For speed, Kling v2 is faster at ~30s. Llama 3.1 405B excels at Premium tasks while Kling v2 is better for Marketing videos. 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 3.1 405B costs $0.08/1M input tokens and $0.14/1M output tokens. Kling v2 costs $0.20/video input and N/A output. Llama 3.1 405B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 405B has a 128K context window with ~600ms latency. Kling v2 offers N/A context at ~30s. Llama 3.1 405B has the larger context window.

Best For

Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. Kling v2 (Video) works best for: Marketing videos, Product demos, Social media.

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 3.1 405B
response_a = client.chat.completions.create(
    model="llama-3-1-405b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Kling v2
response_b = client.chat.completions.create(
    model="kling-v2",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 405B or Kling v2?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. Kling v2 (Video, ~10B) offers High quality. Choose Llama 3.1 405B for Premium tasks or Kling v2 for Marketing videos.

How much does Llama 3.1 405B cost vs Kling v2?

Llama 3.1 405B: $0.08/1M input, $0.14/1M output. Kling v2: $0.20/video/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 Llama 3.1 405B and Kling v2 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.