Gemma 3 1B vs DeepSeek R1 Distill 32B

Compare Gemma 3 1B and DeepSeek R1 Distill 32B: 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 Gemma 3 1B DeepSeek R1 Distill 32B
CategoryCompactReasoning
Parameters1B32B
Context Window32K128K
Input Price$0.003/1M tokens$0.03/1M tokens
Output Price$0.006/1M tokens$0.06/1M tokens
Latency~20ms~250ms

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Gemma 3 1B vs DeepSeek R1 Distill 32B

For cost efficiency, Gemma 3 1B wins at $0.003/1M input tokens. For speed, Gemma 3 1B is faster at ~20ms. Gemma 3 1B excels at Edge inference while DeepSeek R1 Distill 32B is better for Production reasoning. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Gemma 3 1B costs $0.003/1M input tokens and $0.006/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. Gemma 3 1B is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 1B has a 32K context window with ~20ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. DeepSeek R1 Distill 32B has the larger context window.

Best For

Gemma 3 1B (Compact) is optimized for: Edge inference, Classification, Routing. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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 Gemma 3 1B
response_a = client.chat.completions.create(
    model="gemma-3-1b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use DeepSeek R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    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, Gemma 3 1B or DeepSeek R1 Distill 32B?

Gemma 3 1B (Compact, 1B) offers Tiny footprint. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Gemma 3 1B for Edge inference or DeepSeek R1 Distill 32B for Production reasoning.

How much does Gemma 3 1B cost vs DeepSeek R1 Distill 32B?

Gemma 3 1B: $0.003/1M input, $0.006/1M output. DeepSeek R1 Distill 32B: $0.03/1M input, $0.06/1M 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 Gemma 3 1B and DeepSeek R1 Distill 32B 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.