Vedika Fast vs CodeGemma 7B
Compare Vedika Fast and CodeGemma 7B: 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 Fast | CodeGemma 7B |
|---|---|---|
| Category | Domain Specialist | Code |
| Parameters | 8B | 7B |
| Context Window | 32K | 8K |
| Input Price | $0.04/1M tokens | $0.008/1M tokens |
| Output Price | $0.06/1M tokens | $0.015/1M tokens |
| Latency | ~120ms | ~60ms |
Choose Vedika Fast when:
- ✓ Voice astrology bots
- ✓ Real-time chatbots
- ✓ Temple kiosks
Sub-200ms latency, Voice-optimized, Real-time chat
Choose CodeGemma 7B when:
- ✓ Code completion
- ✓ Simple generation
- ✓ Editor plugins
Compact, Fast code completion, Open weights
Verdict: Vedika Fast vs CodeGemma 7B
For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots while CodeGemma 7B is better for Code completion. 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 Fast costs $0.04/1M input tokens and $0.06/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Fast has a 32K context window with ~120ms latency. CodeGemma 7B offers 8K context at ~60ms. Vedika Fast has the larger context window.
Best For
Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. CodeGemma 7B (Code) works best for: Code completion, Simple generation, Editor plugins.
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 Fast
response_a = client.chat.completions.create(
model="vedika-fast",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use CodeGemma 7B
response_b = client.chat.completions.create(
model="codegemma-7b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Fast or CodeGemma 7B?
Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. CodeGemma 7B (Code, 7B) offers Compact. Choose Vedika Fast for Voice astrology bots or CodeGemma 7B for Code completion.
How much does Vedika Fast cost vs CodeGemma 7B?
Vedika Fast: $0.04/1M input, $0.06/1M output. CodeGemma 7B: $0.008/1M input, $0.015/1M 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 Fast and CodeGemma 7B 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.