Grok 3 Mini vs CodeGemma 7B
Compare Grok 3 Mini 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 | Grok 3 Mini | CodeGemma 7B |
|---|---|---|
| Category | Compact | Code |
| Parameters | ~70B | 7B |
| Context Window | 128K | 8K |
| Input Price | $0.03/1M tokens | $0.008/1M tokens |
| Output Price | $0.08/1M tokens | $0.015/1M tokens |
| Latency | ~200ms | ~60ms |
Choose Grok 3 Mini when:
- ✓ Fast queries
- ✓ Temple chatbots
- ✓ General Q&A
Cost-efficient, Good reasoning, Fast
Choose CodeGemma 7B when:
- ✓ Code completion
- ✓ Simple generation
- ✓ Editor plugins
Compact, Fast code completion, Open weights
Verdict: Grok 3 Mini vs CodeGemma 7B
For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, Grok 3 Mini is faster at ~200ms. Grok 3 Mini excels at Fast queries 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
Grok 3 Mini costs $0.03/1M input tokens and $0.08/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 3.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Grok 3 Mini has a 128K context window with ~200ms latency. CodeGemma 7B offers 8K context at ~60ms. Grok 3 Mini has the larger context window.
Best For
Grok 3 Mini (Compact) is optimized for: Fast queries, Temple chatbots, General Q&A. 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 Grok 3 Mini
response_a = client.chat.completions.create(
model="grok-3-mini",
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, Grok 3 Mini or CodeGemma 7B?
Grok 3 Mini (Compact, ~70B) offers Cost-efficient. CodeGemma 7B (Code, 7B) offers Compact. Choose Grok 3 Mini for Fast queries or CodeGemma 7B for Code completion.
How much does Grok 3 Mini cost vs CodeGemma 7B?
Grok 3 Mini: $0.03/1M input, $0.08/1M 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 Grok 3 Mini and CodeGemma 7B 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.