DeepSeek R1 Distill 8B vs CodeGemma 7B

Compare DeepSeek R1 Distill 8B 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

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Feature DeepSeek R1 Distill 8B CodeGemma 7B
CategoryReasoningCode
Parameters8B7B
Context Window128K8K
Input Price$0.01/1M tokens$0.008/1M tokens
Output Price$0.02/1M tokens$0.015/1M tokens
Latency~100ms~60ms

Choose DeepSeek R1 Distill 8B when:

  • ✓ Simple reasoning
  • ✓ Classification with logic
  • ✓ Edge
Key Strengths:

Very fast reasoning, Low cost, Compact

Choose CodeGemma 7B when:

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

Compact, Fast code completion, Open weights

Verdict: DeepSeek R1 Distill 8B vs CodeGemma 7B

For cost efficiency, CodeGemma 7B wins at $0.008/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. DeepSeek R1 Distill 8B excels at Simple reasoning 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 Distill 8B costs $0.01/1M input tokens and $0.02/1M output tokens. CodeGemma 7B costs $0.008 input and $0.015 output. CodeGemma 7B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 Distill 8B has a 128K context window with ~100ms latency. CodeGemma 7B offers 8K context at ~60ms. DeepSeek R1 Distill 8B has the larger context window.

Best For

DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. 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 Distill 8B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-8b",
    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"}]
)

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Frequently Asked Questions

Which is better, DeepSeek R1 Distill 8B or CodeGemma 7B?

DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. CodeGemma 7B (Code, 7B) offers Compact. Choose DeepSeek R1 Distill 8B for Simple reasoning or CodeGemma 7B for Code completion.

How much does DeepSeek R1 Distill 8B cost vs CodeGemma 7B?

DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M 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 Distill 8B 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.