Codestral vs NVIDIA Nemotron 70B

Compare Codestral and NVIDIA Nemotron 70B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Codestral NVIDIA Nemotron 70B
CategoryCodeOpen Source
Parameters22B70B
Context Window256K128K
Input Price$0.03/1M tokens$0.04/1M tokens
Output Price$0.05/1M tokens$0.06/1M tokens
Latency~200ms~300ms

Choose Codestral when:

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

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

Choose NVIDIA Nemotron 70B when:

  • ✓ Helpful chatbots
  • ✓ Customer service
  • ✓ Q&A
Key Strengths:

Optimized for helpfulness, Strong quality, Good reasoning

Verdict: Codestral vs NVIDIA Nemotron 70B

For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Codestral excels at API integration code while NVIDIA Nemotron 70B is better for Helpful chatbots. 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. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. Codestral is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Codestral has a 256K context window with ~200ms latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. Codestral has the larger context window.

Best For

Codestral (Code) is optimized for: API integration code, SDK generation, Code review. NVIDIA Nemotron 70B (Open Source) works best for: Helpful chatbots, Customer service, Q&A.

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 NVIDIA Nemotron 70B
response_b = client.chat.completions.create(
    model="nvidia-llama-3-1-nemotron-70b",
    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 NVIDIA Nemotron 70B?

Codestral (Code, 22B) offers 256K context for code. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose Codestral for API integration code or NVIDIA Nemotron 70B for Helpful chatbots.

How much does Codestral cost vs NVIDIA Nemotron 70B?

Codestral: $0.03/1M input, $0.05/1M output. NVIDIA Nemotron 70B: $0.04/1M 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 NVIDIA Nemotron 70B 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.