Llama 3.1 405B vs Meshy v4

Compare Llama 3.1 405B and Meshy v4: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Meta models All Meshy models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 405B Meshy v4
CategoryOpen Source3D
Parameters405B~3B
Context Window128KN/A
Input Price$0.08/1M tokens$0.10/model/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~600ms~60s

Choose Llama 3.1 405B when:

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

Largest open model, Highest open-source quality

Choose Meshy v4 when:

  • ✓ 3D asset creation
  • ✓ Game assets
  • ✓ Product visualization
Key Strengths:

3D model output, PBR textures, Multiple formats

Verdict: Llama 3.1 405B vs Meshy v4

For cost efficiency, Llama 3.1 405B wins at $0.08/1M input tokens. For speed, Llama 3.1 405B is faster at ~600ms. Llama 3.1 405B excels at Premium tasks while Meshy v4 is better for 3D asset creation. 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. Meshy v4 costs $0.10/model input and N/A output. Llama 3.1 405B is 1.3x 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. Meshy v4 offers N/A context at ~60s. 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. Meshy v4 (3D) works best for: 3D asset creation, Game assets, Product visualization.

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 Meshy v4
response_b = client.chat.completions.create(
    model="meshy-4",
    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 3.1 405B or Meshy v4?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. Meshy v4 (3D, ~3B) offers 3D model output. Choose Llama 3.1 405B for Premium tasks or Meshy v4 for 3D asset creation.

How much does Llama 3.1 405B cost vs Meshy v4?

Llama 3.1 405B: $0.08/1M input, $0.14/1M output. Meshy v4: $0.10/model/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 Meshy v4 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.