o3 vs DeepSeek R1 0528

Compare o3 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 o3 DeepSeek R1 0528
CategoryReasoningReasoning
Parameters~1T671B
Context Window200K128K
Input Price$0.10/1M tokens$0.08/1M tokens
Output Price$0.40/1M tokens$0.15/1M tokens
Latency~2000ms~800ms

Choose o3 when:

  • ✓ Complex calculations
  • ✓ Multi-factor analysis
  • ✓ Research-grade work
Key Strengths:

Extended thinking, Complex logic, Mathematical reasoning

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Verdict: o3 vs DeepSeek R1 0528

For cost efficiency, DeepSeek R1 0528 wins at $0.08/1M input tokens. For speed, o3 is faster at ~2000ms. o3 excels at Complex calculations 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

o3 costs $0.10/1M input tokens and $0.40/1M output tokens. DeepSeek R1 0528 costs $0.08 input and $0.15 output. DeepSeek R1 0528 is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o3 has a 200K context window with ~2000ms latency. DeepSeek R1 0528 offers 128K context at ~800ms. o3 has the larger context window.

Best For

o3 (Reasoning) is optimized for: Complex calculations, Multi-factor analysis, Research-grade work. 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 o3
response_a = client.chat.completions.create(
    model="o3",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, o3 or DeepSeek R1 0528?

o3 (Reasoning, ~1T) offers Extended thinking. DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Choose o3 for Complex calculations or DeepSeek R1 0528 for Calculation verification.

How much does o3 cost vs DeepSeek R1 0528?

o3: $0.10/1M input, $0.40/1M 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 o3 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.