Solar Pro vs DeepSeek R1 Distill 32B
Compare Solar Pro 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
| Feature | Solar Pro | DeepSeek R1 Distill 32B |
|---|---|---|
| Category | Open Source | Reasoning |
| Parameters | 22B | 32B |
| Context Window | 32K | 128K |
| Input Price | $0.02/1M tokens | $0.03/1M tokens |
| Output Price | $0.04/1M tokens | $0.06/1M tokens |
| Latency | ~180ms | ~250ms |
Choose Solar Pro when:
- ✓ General purpose
- ✓ Korean content
- ✓ Chatbots
Good instruction following, Compact, Efficient
Choose DeepSeek R1 Distill 32B when:
- ✓ Production reasoning
- ✓ Analysis
- ✓ Structured tasks
Good reasoning, Moderate cost, Fast
Verdict: Solar Pro vs DeepSeek R1 Distill 32B
For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Solar Pro excels at General purpose 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
Solar Pro costs $0.02/1M input tokens and $0.04/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. Solar Pro is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Solar Pro has a 32K context window with ~180ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. DeepSeek R1 Distill 32B has the larger context window.
Best For
Solar Pro (Open Source) is optimized for: General purpose, Korean content, Chatbots. 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 Solar Pro
response_a = client.chat.completions.create(
model="solar-pro",
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"}]
)Frequently Asked Questions
Which is better, Solar Pro or DeepSeek R1 Distill 32B?
Solar Pro (Open Source, 22B) offers Good instruction following. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Solar Pro for General purpose or DeepSeek R1 Distill 32B for Production reasoning.
How much does Solar Pro cost vs DeepSeek R1 Distill 32B?
Solar Pro: $0.02/1M input, $0.04/1M 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 Solar Pro and DeepSeek R1 Distill 32B 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.