Llama 3.1 8B Turbo vs Meshy v4

Compare Llama 3.1 8B Turbo 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 8B Turbo Meshy v4
CategoryCompact3D
Parameters8B~3B
Context Window128KN/A
Input Price$0.01/1M tokens$0.10/model/1M tokens
Output Price$0.02/1M tokensN/A/1M tokens
Latency~60ms~60s

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Choose Meshy v4 when:

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

3D model output, PBR textures, Multiple formats

Verdict: Llama 3.1 8B Turbo vs Meshy v4

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Llama 3.1 8B Turbo is faster at ~60ms. Llama 3.1 8B Turbo excels at Intent classification 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 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. Llama 3.1 8B Turbo is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Meshy v4 offers N/A context at ~60s. Llama 3.1 8B Turbo has the larger context window.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. 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 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    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 8B Turbo or Meshy v4?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Meshy v4 (3D, ~3B) offers 3D model output. Choose Llama 3.1 8B Turbo for Intent classification or Meshy v4 for 3D asset creation.

How much does Llama 3.1 8B Turbo cost vs Meshy v4?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 8B Turbo 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.