DeepSeek R1 0528 vs CodeGemma 7B

Compare DeepSeek R1 0528 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

All DeepSeek models All Google models What is an LLM API? Python Quickstart What is inference?
Feature DeepSeek R1 0528 CodeGemma 7B
CategoryReasoningCode
Parameters671B7B
Context Window128K8K
Input Price$0.08/1M tokens$0.008/1M tokens
Output Price$0.15/1M tokens$0.015/1M tokens
Latency~800ms~60ms

Choose DeepSeek R1 0528 when:

  • ✓ Calculation verification
  • ✓ Classical text analysis
  • ✓ Quality-critical
Key Strengths:

Improved accuracy, Reduced hallucination, Strong math

Choose CodeGemma 7B when:

  • ✓ Code completion
  • ✓ Simple generation
  • ✓ Editor plugins
Key Strengths:

Compact, Fast code completion, Open weights

Verdict: DeepSeek R1 0528 vs CodeGemma 7B

For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, CodeGemma 7B is faster at ~60ms. DeepSeek R1 0528 excels at Calculation verification 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

DeepSeek R1 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 0528 has a 128K context window with ~800ms latency. CodeGemma 7B offers 8K context at ~60ms. DeepSeek R1 0528 has the larger context window.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. 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 DeepSeek R1 0528
response_a = client.chat.completions.create(
    model="deepseek-r1-0528",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 0528 or CodeGemma 7B?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. CodeGemma 7B (Code, 7B) offers Compact. Choose DeepSeek R1 0528 for Calculation verification or CodeGemma 7B for Code completion.

How much does DeepSeek R1 0528 cost vs CodeGemma 7B?

DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 DeepSeek R1 0528 and CodeGemma 7B by changing the model parameter. No code changes needed.

Related Comparisons

DeepSeek R1 0528 vs Vedika Code DeepSeek R1 0528 vs o3 DeepSeek R1 0528 vs o3 Mini DeepSeek R1 0528 vs o4-mini DeepSeek R1 0528 vs DeepSeek R1 DeepSeek R1 0528 vs DeepSeek R1 Distill 70B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.