DeepSeek R1 0528 vs Qwen 2.5 Coder 32B
Compare DeepSeek R1 0528 and Qwen 2.5 Coder 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
| Feature | DeepSeek R1 0528 | Qwen 2.5 Coder 32B |
|---|---|---|
| Category | Reasoning | Code |
| Parameters | 671B | 32B |
| Context Window | 128K | 128K |
| Input Price | $0.08/1M tokens | $0.03/1M tokens |
| Output Price | $0.15/1M tokens | $0.05/1M tokens |
| Latency | ~800ms | ~200ms |
Choose DeepSeek R1 0528 when:
- ✓ Calculation verification
- ✓ Classical text analysis
- ✓ Quality-critical
Improved accuracy, Reduced hallucination, Strong math
Choose Qwen 2.5 Coder 32B when:
- ✓ Faith-tech code
- ✓ API development
- ✓ Frontend code
Strong code generation, API understanding, Good frameworks
Verdict: DeepSeek R1 0528 vs Qwen 2.5 Coder 32B
For cost efficiency, Qwen 2.5 Coder 32B wins at $0.03/1M input tokens. For speed, Qwen 2.5 Coder 32B is faster at ~200ms. DeepSeek R1 0528 excels at Calculation verification while Qwen 2.5 Coder 32B is better for Faith-tech code. 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. Qwen 2.5 Coder 32B costs $0.03 input and $0.05 output. Qwen 2.5 Coder 32B is 2.7x 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. Qwen 2.5 Coder 32B offers 128K context at ~200ms. Both have identical context windows.
Best For
DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. Qwen 2.5 Coder 32B (Code) works best for: Faith-tech code, API development, Frontend code.
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 Qwen 2.5 Coder 32B
response_b = client.chat.completions.create(
model="qwen-2-5-coder-32b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DeepSeek R1 0528 or Qwen 2.5 Coder 32B?
DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Qwen 2.5 Coder 32B (Code, 32B) offers Strong code generation. Choose DeepSeek R1 0528 for Calculation verification or Qwen 2.5 Coder 32B for Faith-tech code.
How much does DeepSeek R1 0528 cost vs Qwen 2.5 Coder 32B?
DeepSeek R1 0528: $0.08/1M input, $0.15/1M output. Qwen 2.5 Coder 32B: $0.03/1M input, $0.05/1M 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 Qwen 2.5 Coder 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.