DeepSeek V3.1 vs Mistral Small 3
Compare DeepSeek V3.1 and Mistral Small 3: 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 V3.1 | Mistral Small 3 |
|---|---|---|
| Category | Open Source | Compact |
| Parameters | 685B (37B active) | 24B |
| Context Window | 128K | 32K |
| Input Price | $0.06/1M tokens | $0.02/1M tokens |
| Output Price | $0.10/1M tokens | $0.04/1M tokens |
| Latency | ~400ms | ~150ms |
Choose DeepSeek V3.1 when:
- ✓ Production apps
- ✓ Content generation
- ✓ Multi-language
Improved quality, Better safety, Stronger multilingual
Choose Mistral Small 3 when:
- ✓ Content classification
- ✓ Intent detection
- ✓ Preprocessing
Very fast, Low cost, Good classification
Verdict: DeepSeek V3.1 vs Mistral Small 3
For cost efficiency, Mistral Small 3 wins at $0.02/1M input tokens. For speed, Mistral Small 3 is faster at ~150ms. DeepSeek V3.1 excels at Production apps while Mistral Small 3 is better for Content classification. 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 V3.1 costs $0.06/1M input tokens and $0.10/1M output tokens. Mistral Small 3 costs $0.02 input and $0.04 output. Mistral Small 3 is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V3.1 has a 128K context window with ~400ms latency. Mistral Small 3 offers 32K context at ~150ms. DeepSeek V3.1 has the larger context window.
Best For
DeepSeek V3.1 (Open Source) is optimized for: Production apps, Content generation, Multi-language. Mistral Small 3 (Compact) works best for: Content classification, Intent detection, Preprocessing.
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 V3.1
response_a = client.chat.completions.create(
model="deepseek-v3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Mistral Small 3
response_b = client.chat.completions.create(
model="mistral-small-3",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek V3.1 or Mistral Small 3?
DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Mistral Small 3 (Compact, 24B) offers Very fast. Choose DeepSeek V3.1 for Production apps or Mistral Small 3 for Content classification.
How much does DeepSeek V3.1 cost vs Mistral Small 3?
DeepSeek V3.1: $0.06/1M input, $0.10/1M output. Mistral Small 3: $0.02/1M input, $0.04/1M 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 V3.1 and Mistral Small 3 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.