Arctic Large vs CodeGemma 7B
Compare Arctic Large 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 | Arctic Large | CodeGemma 7B |
|---|---|---|
| Category | Enterprise | Code |
| Parameters | 480B (17B active) | 7B |
| Context Window | 128K | 8K |
| Input Price | $0.06/1M tokens | $0.008/1M tokens |
| Output Price | $0.10/1M tokens | $0.015/1M tokens |
| Latency | ~400ms | ~60ms |
Choose Arctic Large when:
- ✓ Data analysis
- ✓ SQL generation
- ✓ Business intelligence
Strong SQL, Data analysis, Enterprise features
Choose CodeGemma 7B when:
- ✓ Code completion
- ✓ Simple generation
- ✓ Editor plugins
Compact, Fast code completion, Open weights
Verdict: Arctic Large vs CodeGemma 7B
For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, Arctic Large is faster at ~400ms. Arctic Large excels at Data analysis 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
Arctic Large costs $0.06/1M input tokens and $0.10/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 7.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Arctic Large has a 128K context window with ~400ms latency. CodeGemma 7B offers 8K context at ~60ms. Arctic Large has the larger context window.
Best For
Arctic Large (Enterprise) is optimized for: Data analysis, SQL generation, Business intelligence. 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 Arctic Large
response_a = client.chat.completions.create(
model="arctic-large",
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, Arctic Large or CodeGemma 7B?
Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. CodeGemma 7B (Code, 7B) offers Compact. Choose Arctic Large for Data analysis or CodeGemma 7B for Code completion.
How much does Arctic Large cost vs CodeGemma 7B?
Arctic Large: $0.06/1M input, $0.10/1M 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 Arctic Large 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.