DeepSeek R1 0528 vs OLMo 2 13B
Compare DeepSeek R1 0528 and OLMo 2 13B: 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 | OLMo 2 13B |
|---|---|---|
| Category | Reasoning | Open Source |
| Parameters | 671B | 13B |
| Context Window | 128K | 32K |
| Input Price | $0.08/1M tokens | $0.015/1M tokens |
| Output Price | $0.15/1M tokens | $0.03/1M tokens |
| Latency | ~800ms | ~120ms |
Choose DeepSeek R1 0528 when:
- ✓ Calculation verification
- ✓ Classical text analysis
- ✓ Quality-critical
Improved accuracy, Reduced hallucination, Strong math
Choose OLMo 2 13B when:
- ✓ Research
- ✓ Custom training
- ✓ Transparency-required apps
Fully open (weights + data), Transparent, Research-friendly
Verdict: DeepSeek R1 0528 vs OLMo 2 13B
For cost efficiency, OLMo 2 13B wins at $0.015/1M input tokens. For speed, OLMo 2 13B is faster at ~120ms. DeepSeek R1 0528 excels at Calculation verification while OLMo 2 13B is better for Research. 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. OLMo 2 13B costs $0.015 input and $0.03 output. OLMo 2 13B is 5.3x 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. OLMo 2 13B offers 32K context at ~120ms. DeepSeek R1 0528 has the larger context window.
Best For
DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. OLMo 2 13B (Open Source) works best for: Research, Custom training, Transparency-required apps.
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 OLMo 2 13B
response_b = client.chat.completions.create(
model="olmo-2-13b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek R1 0528 or OLMo 2 13B?
DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. OLMo 2 13B (Open Source, 13B) offers Fully open (weights + data). Choose DeepSeek R1 0528 for Calculation verification or OLMo 2 13B for Research.
How much does DeepSeek R1 0528 cost vs OLMo 2 13B?
DeepSeek R1 0528: $0.08/1M input, $0.15/1M output. OLMo 2 13B: $0.015/1M input, $0.03/1M 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 OLMo 2 13B by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.