Vedika Vision vs FLUX.1 Dev
Compare Vedika Vision and FLUX.1 Dev: 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 | FLUX.1 Dev |
|---|---|---|
| Category | Vision | Image |
| Parameters | 26B | 12B |
| Context Window | 32K | N/A |
| Input Price | $0.08/1M tokens | $0.003/image/1M tokens |
| Output Price | $0.12/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~3s |
Choose Vedika Vision when:
- ✓ Chart image analysis
- ✓ Temple photo description
- ✓ Vastu photo analysis
Chart image analysis, Yantra recognition, Sacred geometry
Choose FLUX.1 Dev when:
- ✓ Custom styles
- ✓ Fine-tuned imagery
- ✓ Development
Fine-tunable, Good quality, Open weights
Verdict: Vedika Vision vs FLUX.1 Dev
For cost efficiency, FLUX.1 Dev wins at $0.003/image/1M input tokens. For speed, FLUX.1 Dev is faster at ~3s. Vedika Vision excels at Chart image analysis while FLUX.1 Dev is better for Custom styles. 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. FLUX.1 Dev costs $0.003/image input and N/A output. FLUX.1 Dev is 26.7x 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. FLUX.1 Dev offers N/A context at ~3s. Vedika Vision has the larger context window.
Best For
Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. FLUX.1 Dev (Image) works best for: Custom styles, Fine-tuned imagery, Development.
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 FLUX.1 Dev
response_b = client.chat.completions.create(
model="flux-1-dev",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Vision or FLUX.1 Dev?
Vedika Vision (Vision, 26B) offers Chart image analysis. FLUX.1 Dev (Image, 12B) offers Fine-tunable. Choose Vedika Vision for Chart image analysis or FLUX.1 Dev for Custom styles.
How much does Vedika Vision cost vs FLUX.1 Dev?
Vedika Vision: $0.08/1M input, $0.12/1M output. FLUX.1 Dev: $0.003/image/1M input, N/A/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 FLUX.1 Dev 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.