Llama 4 Maverick vs InternLM 2.5 20B

Compare Llama 4 Maverick and InternLM 2.5 20B: 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 Shanghai AI Lab models What is an LLM API? Python Quickstart What is inference?
Feature Llama 4 Maverick InternLM 2.5 20B
CategoryOpen SourceOpen Source
Parameters400B (17B active)20B
Context Window256K256K
Input Price$0.07/1M tokens$0.02/1M tokens
Output Price$0.12/1M tokens$0.04/1M tokens
Latency~450ms~180ms

Choose Llama 4 Maverick when:

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

Superior reasoning, 256K context, Excellent multilingual

Choose InternLM 2.5 20B when:

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

256K context, Strong reasoning, Good multilingual

Verdict: Llama 4 Maverick vs InternLM 2.5 20B

For cost efficiency, InternLM 2.5 20B wins at $0.02/1M input tokens. For speed, InternLM 2.5 20B is faster at ~180ms. Llama 4 Maverick excels at Complex analysis while InternLM 2.5 20B is better for Long context tasks. 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. InternLM 2.5 20B costs $0.02 input and $0.04 output. InternLM 2.5 20B is 3.5x 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. InternLM 2.5 20B offers 256K context at ~180ms. Both have identical context windows.

Best For

Llama 4 Maverick (Open Source) is optimized for: Complex analysis, Professional reports, Deep reasoning. InternLM 2.5 20B (Open Source) works best for: Long context tasks, Research, Multilingual.

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 InternLM 2.5 20B
response_b = client.chat.completions.create(
    model="internlm-2-5-20b",
    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 InternLM 2.5 20B?

Llama 4 Maverick (Open Source, 400B (17B active)) offers Superior reasoning. InternLM 2.5 20B (Open Source, 20B) offers 256K context. Choose Llama 4 Maverick for Complex analysis or InternLM 2.5 20B for Long context tasks.

How much does Llama 4 Maverick cost vs InternLM 2.5 20B?

Llama 4 Maverick: $0.07/1M input, $0.12/1M output. InternLM 2.5 20B: $0.02/1M input, $0.04/1M 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 InternLM 2.5 20B by changing the model parameter. No code changes needed.

Related Comparisons

Llama 4 Maverick vs Gemma 3 27B Llama 4 Maverick vs Llama 4 Scout Llama 4 Maverick vs Llama 3.3 70B Llama 4 Maverick vs Llama 3.1 405B Llama 4 Maverick vs Llama 3.1 70B Turbo Llama 4 Maverick vs DeepSeek V3

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.