Codestral vs DeepSeek R1 Distill 32B

Compare Codestral 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

All Mistral models All DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Codestral DeepSeek R1 Distill 32B
CategoryCodeReasoning
Parameters22B32B
Context Window256K128K
Input Price$0.03/1M tokens$0.03/1M tokens
Output Price$0.05/1M tokens$0.06/1M tokens
Latency~200ms~250ms

Choose Codestral when:

  • ✓ API integration code
  • ✓ SDK generation
  • ✓ Code review
Key Strengths:

256K context for code, Strong code generation, Good APIs

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Codestral vs DeepSeek R1 Distill 32B

For cost efficiency, DeepSeek R1 Distill 32B wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Codestral excels at API integration code 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

Codestral costs $0.03/1M input tokens and $0.05/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Codestral has a 256K context window with ~200ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. Codestral has the larger context window.

Best For

Codestral (Code) is optimized for: API integration code, SDK generation, Code review. 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 Codestral
response_a = client.chat.completions.create(
    model="codestral",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Codestral or DeepSeek R1 Distill 32B?

Codestral (Code, 22B) offers 256K context for code. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Codestral for API integration code or DeepSeek R1 Distill 32B for Production reasoning.

How much does Codestral cost vs DeepSeek R1 Distill 32B?

Codestral: $0.03/1M input, $0.05/1M 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 Codestral and DeepSeek R1 Distill 32B by changing the model parameter. No code changes needed.

Related Comparisons

Codestral vs Vedika Code Codestral vs o3 Codestral vs o3 Mini Codestral vs o4-mini Codestral vs DeepSeek R1 Codestral vs DeepSeek R1 0528

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.