Yi Lightning vs Jamba 1.5 Large

Compare Yi Lightning and Jamba 1.5 Large: 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 01.AI models All AI21 models What is an LLM API? Python Quickstart What is inference?
Feature Yi Lightning Jamba 1.5 Large
CategoryOpen SourceEnterprise
Parameters200B MoE398B (94B active)
Context Window128K256K
Input Price$0.04/1M tokens$0.08/1M tokens
Output Price$0.08/1M tokens$0.14/1M tokens
Latency~300ms~500ms

Choose Yi Lightning when:

  • ✓ High-volume APIs
  • ✓ Fast Q&A
  • ✓ Real-time chatbots
Key Strengths:

Fast inference, Good multilingual, Strong reasoning

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: Yi Lightning vs Jamba 1.5 Large

For cost efficiency, Yi Lightning wins at $0.04/1M input tokens. For speed, Yi Lightning is faster at ~300ms. Yi Lightning excels at High-volume APIs while Jamba 1.5 Large is better for Full text processing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Yi Lightning costs $0.04/1M input tokens and $0.08/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Yi Lightning is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Yi Lightning has a 128K context window with ~300ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

Yi Lightning (Open Source) is optimized for: High-volume APIs, Fast Q&A, Real-time chatbots. Jamba 1.5 Large (Enterprise) works best for: Full text processing, Comprehensive reports, Long analysis.

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 Yi Lightning
response_a = client.chat.completions.create(
    model="yi-lightning",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Jamba 1.5 Large
response_b = client.chat.completions.create(
    model="jamba-1-5-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Yi Lightning or Jamba 1.5 Large?

Yi Lightning (Open Source, 200B MoE) offers Fast inference. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Yi Lightning for High-volume APIs or Jamba 1.5 Large for Full text processing.

How much does Yi Lightning cost vs Jamba 1.5 Large?

Yi Lightning: $0.04/1M input, $0.08/1M output. Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Yi Lightning and Jamba 1.5 Large 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.