Recraft V3 vs Jamba 1.5 Large
Compare Recraft V3 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
| Feature | Recraft V3 | Jamba 1.5 Large |
|---|---|---|
| Category | Image | Enterprise |
| Parameters | ~2B | 398B (94B active) |
| Context Window | N/A | 256K |
| Input Price | $0.004/image/1M tokens | $0.08/1M tokens |
| Output Price | N/A/1M tokens | $0.14/1M tokens |
| Latency | ~2s | ~500ms |
Choose Recraft V3 when:
- ✓ Product photography
- ✓ Brand imagery
- ✓ Marketing materials
Brand consistency, Design-focused, Professional quality
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Verdict: Recraft V3 vs Jamba 1.5 Large
For cost efficiency, Recraft V3 wins at $0.004/image/1M input tokens. For speed, Recraft V3 is faster at ~2s. Recraft V3 excels at Product photography 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
Recraft V3 costs $0.004/image/1M input tokens and N/A/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Recraft V3 is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Recraft V3 has a N/A context window with ~2s latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.
Best For
Recraft V3 (Image) is optimized for: Product photography, Brand imagery, Marketing materials. 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 Recraft V3
response_a = client.chat.completions.create(
model="recraft-v3",
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"}]
)Frequently Asked Questions
Which is better, Recraft V3 or Jamba 1.5 Large?
Recraft V3 (Image, ~2B) offers Brand consistency. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Recraft V3 for Product photography or Jamba 1.5 Large for Full text processing.
How much does Recraft V3 cost vs Jamba 1.5 Large?
Recraft V3: $0.004/image/1M input, N/A/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 Recraft V3 and Jamba 1.5 Large by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.