InternLM 2.5 20B vs Meshy v4

Compare InternLM 2.5 20B 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

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Feature InternLM 2.5 20B Meshy v4
CategoryOpen Source3D
Parameters20B~3B
Context Window256KN/A
Input Price$0.02/1M tokens$0.10/model/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~180ms~60s

Choose InternLM 2.5 20B when:

  • ✓ Long context tasks
  • ✓ Research
  • ✓ Multilingual
Key Strengths:

256K context, Strong reasoning, Good multilingual

Choose Meshy v4 when:

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

3D model output, PBR textures, Multiple formats

Verdict: InternLM 2.5 20B vs Meshy v4

For cost efficiency, InternLM 2.5 20B wins at $0.02/1M input tokens. For speed, InternLM 2.5 20B is faster at ~180ms. InternLM 2.5 20B excels at Long context 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

InternLM 2.5 20B costs $0.02/1M input tokens and $0.04/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. InternLM 2.5 20B is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

InternLM 2.5 20B has a 256K context window with ~180ms latency. Meshy v4 offers N/A context at ~60s. InternLM 2.5 20B has the larger context window.

Best For

InternLM 2.5 20B (Open Source) is optimized for: Long context tasks, Research, Multilingual. 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 InternLM 2.5 20B
response_a = client.chat.completions.create(
    model="internlm-2-5-20b",
    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, InternLM 2.5 20B or Meshy v4?

InternLM 2.5 20B (Open Source, 20B) offers 256K context. Meshy v4 (3D, ~3B) offers 3D model output. Choose InternLM 2.5 20B for Long context tasks or Meshy v4 for 3D asset creation.

How much does InternLM 2.5 20B cost vs Meshy v4?

InternLM 2.5 20B: $0.02/1M input, $0.04/1M 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 InternLM 2.5 20B 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.