Vedika Vision vs Jamba 1.5 Mini
Compare Vedika Vision and Jamba 1.5 Mini: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Vedika Vision | Jamba 1.5 Mini |
|---|---|---|
| Category | Vision | Compact |
| Parameters | 26B | 52B (12B active) |
| Context Window | 32K | 256K |
| Input Price | $0.08/1M tokens | $0.02/1M tokens |
| Output Price | $0.12/1M tokens | $0.04/1M tokens |
| Latency | ~500ms | ~200ms |
Choose Vedika Vision when:
- ✓ Chart image analysis
- ✓ Temple photo description
- ✓ Vastu photo analysis
Chart image analysis, Yantra recognition, Sacred geometry
Choose Jamba 1.5 Mini when:
- ✓ Long document Q&A
- ✓ Budget apps
- ✓ Summarization
256K context, Low cost, SSM efficiency
Verdict: Vedika Vision vs Jamba 1.5 Mini
For cost efficiency, Jamba 1.5 Mini wins at $0.02/1M input tokens. For speed, Jamba 1.5 Mini is faster at ~200ms. Vedika Vision excels at Chart image analysis while Jamba 1.5 Mini is better for Long document Q&A. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Vedika Vision costs $0.08/1M input tokens and $0.12/1M output tokens. Jamba 1.5 Mini costs $0.02 input and $0.04 output. Jamba 1.5 Mini is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Vision has a 32K context window with ~500ms latency. Jamba 1.5 Mini offers 256K context at ~200ms. Jamba 1.5 Mini has the larger context window.
Best For
Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. Jamba 1.5 Mini (Compact) works best for: Long document Q&A, Budget apps, Summarization.
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 Vedika Vision
response_a = client.chat.completions.create(
model="vedika-vision",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Jamba 1.5 Mini
response_b = client.chat.completions.create(
model="jamba-1-5-mini",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Vision or Jamba 1.5 Mini?
Vedika Vision (Vision, 26B) offers Chart image analysis. Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Choose Vedika Vision for Chart image analysis or Jamba 1.5 Mini for Long document Q&A.
How much does Vedika Vision cost vs Jamba 1.5 Mini?
Vedika Vision: $0.08/1M input, $0.12/1M output. Jamba 1.5 Mini: $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 Vedika Vision and Jamba 1.5 Mini 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.