DeepSeek R1 Distill 70B vs Baichuan 4
Compare DeepSeek R1 Distill 70B and Baichuan 4: 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 Distill 70B | Baichuan 4 |
|---|---|---|
| Category | Reasoning | Open Source |
| Parameters | 70B | ~130B |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.05/1M tokens |
| Output Price | $0.08/1M tokens | $0.09/1M tokens |
| Latency | ~400ms | ~350ms |
Choose DeepSeek R1 Distill 70B when:
- ✓ Production reasoning
- ✓ Batch processing
- ✓ Cost-sensitive
Reasoning distilled, Faster than full R1, Cost-efficient
Choose Baichuan 4 when:
- ✓ Chinese content
- ✓ Cultural analysis
- ✓ Bilingual apps
Strong Chinese, Cultural knowledge, Good reasoning
Verdict: DeepSeek R1 Distill 70B vs Baichuan 4
For cost efficiency, DeepSeek R1 Distill 70B wins at $0.04/1M input tokens. For speed, Baichuan 4 is faster at ~350ms. DeepSeek R1 Distill 70B excels at Production reasoning while Baichuan 4 is better for Chinese content. 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 Distill 70B costs $0.04/1M input tokens and $0.08/1M output tokens. Baichuan 4 costs $0.05 input and $0.09 output. DeepSeek R1 Distill 70B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 Distill 70B has a 128K context window with ~400ms latency. Baichuan 4 offers 128K context at ~350ms. Both have identical context windows.
Best For
DeepSeek R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. Baichuan 4 (Open Source) works best for: Chinese content, Cultural analysis, Bilingual 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 Distill 70B
response_a = client.chat.completions.create(
model="deepseek-r1-distill-70b",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Baichuan 4
response_b = client.chat.completions.create(
model="baichuan-4",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DeepSeek R1 Distill 70B or Baichuan 4?
DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. Baichuan 4 (Open Source, ~130B) offers Strong Chinese. Choose DeepSeek R1 Distill 70B for Production reasoning or Baichuan 4 for Chinese content.
How much does DeepSeek R1 Distill 70B cost vs Baichuan 4?
DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M output. Baichuan 4: $0.05/1M input, $0.09/1M 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 Distill 70B and Baichuan 4 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.