DeepSeek V3.1 vs Codestral
Compare DeepSeek V3.1 and Codestral: 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 | Codestral |
|---|---|---|
| Category | Open Source | Code |
| Parameters | 685B (37B active) | 22B |
| Context Window | 128K | 256K |
| Input Price | $0.06/1M tokens | $0.03/1M tokens |
| Output Price | $0.10/1M tokens | $0.05/1M tokens |
| Latency | ~400ms | ~200ms |
Choose DeepSeek V3.1 when:
- ✓ Production apps
- ✓ Content generation
- ✓ Multi-language
Improved quality, Better safety, Stronger multilingual
Choose Codestral when:
- ✓ API integration code
- ✓ SDK generation
- ✓ Code review
256K context for code, Strong code generation, Good APIs
Verdict: DeepSeek V3.1 vs Codestral
For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. DeepSeek V3.1 excels at Production apps while Codestral is better for API integration code. 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. Codestral costs $0.03 input and $0.05 output. Codestral is 2.0x 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. Codestral offers 256K context at ~200ms. Codestral has the larger context window.
Best For
DeepSeek V3.1 (Open Source) is optimized for: Production apps, Content generation, Multi-language. Codestral (Code) works best for: API integration code, SDK generation, Code review.
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 Codestral
response_b = client.chat.completions.create(
model="codestral",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek V3.1 or Codestral?
DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Codestral (Code, 22B) offers 256K context for code. Choose DeepSeek V3.1 for Production apps or Codestral for API integration code.
How much does DeepSeek V3.1 cost vs Codestral?
DeepSeek V3.1: $0.06/1M input, $0.10/1M output. Codestral: $0.03/1M input, $0.05/1M 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 Codestral 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.