Gemini 2.0 Flash vs DeepSeek R1 0528

Compare Gemini 2.0 Flash and DeepSeek R1 0528: 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 Gemini 2.0 Flash DeepSeek R1 0528
CategoryFastReasoning
Parameters~100B671B
Context Window1M128K
Input Price$0.01/1M tokens$0.08/1M tokens
Output Price$0.04/1M tokens$0.15/1M tokens
Latency~150ms~800ms

Choose Gemini 2.0 Flash when:

  • ✓ Budget apps
  • ✓ High-volume processing
  • ✓ Simple Q&A
Key Strengths:

Very low cost, 1M context, Proven reliability

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Verdict: Gemini 2.0 Flash vs DeepSeek R1 0528

For cost efficiency, Gemini 2.0 Flash wins at $0.01/1M input tokens. For speed, Gemini 2.0 Flash is faster at ~150ms. Gemini 2.0 Flash excels at Budget apps while DeepSeek R1 0528 is better for Calculation verification. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Gemini 2.0 Flash costs $0.01/1M input tokens and $0.04/1M output tokens. DeepSeek R1 0528 costs $0.08 input and $0.15 output. Gemini 2.0 Flash is 8.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemini 2.0 Flash has a 1M context window with ~150ms latency. DeepSeek R1 0528 offers 128K context at ~800ms. Gemini 2.0 Flash has the larger context window.

Best For

Gemini 2.0 Flash (Fast) is optimized for: Budget apps, High-volume processing, Simple Q&A. DeepSeek R1 0528 (Reasoning) works best for: Calculation verification, Classical text analysis, Quality-critical.

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 Gemini 2.0 Flash
response_a = client.chat.completions.create(
    model="gemini-2-0-flash",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use DeepSeek R1 0528
response_b = client.chat.completions.create(
    model="deepseek-r1-0528",
    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, Gemini 2.0 Flash or DeepSeek R1 0528?

Gemini 2.0 Flash (Fast, ~100B) offers Very low cost. DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Choose Gemini 2.0 Flash for Budget apps or DeepSeek R1 0528 for Calculation verification.

How much does Gemini 2.0 Flash cost vs DeepSeek R1 0528?

Gemini 2.0 Flash: $0.01/1M input, $0.04/1M output. DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 Gemini 2.0 Flash and DeepSeek R1 0528 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.