o3 Mini vs Jamba 1.5 Large

Compare o3 Mini 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

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Feature o3 Mini Jamba 1.5 Large
CategoryReasoningEnterprise
Parameters~200B398B (94B active)
Context Window200K256K
Input Price$0.04/1M tokens$0.08/1M tokens
Output Price$0.16/1M tokens$0.14/1M tokens
Latency~1000ms~500ms

Choose o3 Mini when:

  • ✓ Structured analysis
  • ✓ Quick reasoning
  • ✓ Scoring tasks
Key Strengths:

Fast reasoning, Good logic chains, Cost-efficient

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: o3 Mini vs Jamba 1.5 Large

For cost efficiency, o3 Mini wins at $0.04/1M input tokens. For speed, o3 Mini is faster at ~1000ms. o3 Mini excels at Structured analysis 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

o3 Mini costs $0.04/1M input tokens and $0.16/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. o3 Mini is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o3 Mini has a 200K context window with ~1000ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

o3 Mini (Reasoning) is optimized for: Structured analysis, Quick reasoning, Scoring tasks. 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 o3 Mini
response_a = client.chat.completions.create(
    model="o3-mini",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, o3 Mini or Jamba 1.5 Large?

o3 Mini (Reasoning, ~200B) offers Fast reasoning. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose o3 Mini for Structured analysis or Jamba 1.5 Large for Full text processing.

How much does o3 Mini cost vs Jamba 1.5 Large?

o3 Mini: $0.04/1M input, $0.16/1M 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 o3 Mini 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.