Jamba 1.5 Large vs InternLM 2.5 20B

Compare Jamba 1.5 Large 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 AI21 models All Shanghai AI Lab models What is an LLM API? Python Quickstart What is inference?
Feature Jamba 1.5 Large InternLM 2.5 20B
CategoryEnterpriseOpen Source
Parameters398B (94B active)20B
Context Window256K256K
Input Price$0.08/1M tokens$0.02/1M tokens
Output Price$0.14/1M tokens$0.04/1M tokens
Latency~500ms~180ms

Choose Jamba 1.5 Large when:

  • ✓ Full text processing
  • ✓ Comprehensive reports
  • ✓ Long analysis
Key Strengths:

256K context, SSM-Transformer hybrid, Good summarization

Choose InternLM 2.5 20B when:

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

256K context, Strong reasoning, Good multilingual

Verdict: Jamba 1.5 Large 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. Jamba 1.5 Large excels at Full text processing 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

Jamba 1.5 Large costs $0.08/1M input tokens and $0.14/1M output tokens. InternLM 2.5 20B costs $0.02 input and $0.04 output. InternLM 2.5 20B is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Jamba 1.5 Large has a 256K context window with ~500ms latency. InternLM 2.5 20B offers 256K context at ~180ms. Both have identical context windows.

Best For

Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. 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 Jamba 1.5 Large
response_a = client.chat.completions.create(
    model="jamba-1-5-large",
    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, Jamba 1.5 Large or InternLM 2.5 20B?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. InternLM 2.5 20B (Open Source, 20B) offers 256K context. Choose Jamba 1.5 Large for Full text processing or InternLM 2.5 20B for Long context tasks.

How much does Jamba 1.5 Large cost vs InternLM 2.5 20B?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Jamba 1.5 Large and InternLM 2.5 20B by changing the model parameter. No code changes needed.

Related Comparisons

Jamba 1.5 Large vs Gemma 3 27B Jamba 1.5 Large vs Llama 4 Scout Jamba 1.5 Large vs Llama 4 Maverick Jamba 1.5 Large vs Llama 3.3 70B Jamba 1.5 Large vs Llama 3.1 405B Jamba 1.5 Large vs Llama 3.1 70B Turbo

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