Claude Opus 4 vs InternLM 2.5 20B

Compare Claude Opus 4 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 Anthropic models All Shanghai AI Lab models What is an LLM API? Python Quickstart What is inference?
Feature Claude Opus 4 InternLM 2.5 20B
CategoryFrontierOpen Source
Parameters~2T20B
Context Window200K256K
Input Price$0.15/1M tokens$0.02/1M tokens
Output Price$0.75/1M tokens$0.04/1M tokens
Latency~800ms~180ms

Choose Claude Opus 4 when:

  • ✓ Complex counseling
  • ✓ Detailed chart analysis
  • ✓ Enterprise reports
Key Strengths:

Deepest reasoning, Exceptional nuance, Best complex analysis

Choose InternLM 2.5 20B when:

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

256K context, Strong reasoning, Good multilingual

Verdict: Claude Opus 4 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. Claude Opus 4 excels at Complex counseling 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

Claude Opus 4 costs $0.15/1M input tokens and $0.75/1M output tokens. InternLM 2.5 20B costs $0.02 input and $0.04 output. InternLM 2.5 20B is 7.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Claude Opus 4 has a 200K context window with ~800ms latency. InternLM 2.5 20B offers 256K context at ~180ms. InternLM 2.5 20B has the larger context window.

Best For

Claude Opus 4 (Frontier) is optimized for: Complex counseling, Detailed chart analysis, Enterprise reports. 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 Claude Opus 4
response_a = client.chat.completions.create(
    model="claude-opus-4",
    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, Claude Opus 4 or InternLM 2.5 20B?

Claude Opus 4 (Frontier, ~2T) offers Deepest reasoning. InternLM 2.5 20B (Open Source, 20B) offers 256K context. Choose Claude Opus 4 for Complex counseling or InternLM 2.5 20B for Long context tasks.

How much does Claude Opus 4 cost vs InternLM 2.5 20B?

Claude Opus 4: $0.15/1M input, $0.75/1M 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 Claude Opus 4 and InternLM 2.5 20B by changing the model parameter. No code changes needed.

Related Comparisons

Claude Opus 4 vs GPT-4.1 Claude Opus 4 vs GPT-4.1 Mini Claude Opus 4 vs GPT-4o Claude Opus 4 vs Claude Sonnet 4 Claude Opus 4 vs Claude Opus 4.5 Claude Opus 4 vs Claude Sonnet 4.5

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