DeepSeek R1 Distill 8B vs Qwen 3 235B
Compare DeepSeek R1 Distill 8B and Qwen 3 235B: 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 8B | Qwen 3 235B |
|---|---|---|
| Category | Reasoning | Open Source |
| Parameters | 8B | 235B (22B active) |
| Context Window | 128K | 128K |
| Input Price | $0.01/1M tokens | $0.06/1M tokens |
| Output Price | $0.02/1M tokens | $0.10/1M tokens |
| Latency | ~100ms | ~350ms |
Choose DeepSeek R1 Distill 8B when:
- ✓ Simple reasoning
- ✓ Classification with logic
- ✓ Edge
Very fast reasoning, Low cost, Compact
Choose Qwen 3 235B when:
- ✓ Pan-India multilingual
- ✓ Regional chatbots
- ✓ Translation
Exceptional Asian languages, Strong Hindi/Bengali/Tamil, MoE efficiency
Verdict: DeepSeek R1 Distill 8B vs Qwen 3 235B
For cost efficiency, DeepSeek R1 Distill 8B wins at $0.01/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. DeepSeek R1 Distill 8B excels at Simple reasoning while Qwen 3 235B is better for Pan-India multilingual. 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 8B costs $0.01/1M input tokens and $0.02/1M output tokens. Qwen 3 235B costs $0.06 input and $0.10 output. DeepSeek R1 Distill 8B is 6.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 Distill 8B has a 128K context window with ~100ms latency. Qwen 3 235B offers 128K context at ~350ms. Both have identical context windows.
Best For
DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. Qwen 3 235B (Open Source) works best for: Pan-India multilingual, Regional chatbots, Translation.
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 8B
response_a = client.chat.completions.create(
model="deepseek-r1-distill-8b",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Qwen 3 235B
response_b = client.chat.completions.create(
model="qwen-3-235b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DeepSeek R1 Distill 8B or Qwen 3 235B?
DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. Qwen 3 235B (Open Source, 235B (22B active)) offers Exceptional Asian languages. Choose DeepSeek R1 Distill 8B for Simple reasoning or Qwen 3 235B for Pan-India multilingual.
How much does DeepSeek R1 Distill 8B cost vs Qwen 3 235B?
DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M output. Qwen 3 235B: $0.06/1M input, $0.10/1M 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 8B and Qwen 3 235B 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.