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DeepSeek R1 vs Codestral

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

DeepSeek R1 Cost
$0.36
Codestral Cost
$0.48
DeepSeek R1 is 24% cheaper
FeatureDeepSeek R1Codestral
ProviderDeepSeekMistral
Input Price (1M)$0.28$0.30
Output Price (1M)$0.42$0.90
Context Window64,000256,000

Verdict

DeepSeek R1 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. Codestral costs $0.30 per 1M input tokens and $0.90 per 1M output tokens. DeepSeek R1 is 7% cheaper on input tokens than Codestral. For output tokens, DeepSeek R1 is the more affordable option at $0.42/1M vs $0.90.

On context window, Codestral supports 256,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose DeepSeek R1

  • ✓ You need the lowest input token cost ($ 0.28/1M)
  • ✓ Your workload is output-heavy — DeepSeek R1 generates text cheaper
  • ✓ You are already integrated with DeepSeek

When to choose Codestral

  • ✓ You need a larger context window (256,000 tokens)
  • ✓ You are already integrated with Mistral

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is DeepSeek R1 cheaper than Codestral?

DeepSeek R1 is cheaper on input tokens at $0.28/1M vs $0.30/1M for Codestral — a 7% saving.

What is the context window of DeepSeek R1 vs Codestral?

DeepSeek R1 has a 64,000-token context window. Codestral has a 256,000-token context window. Codestral supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: DeepSeek R1 or Codestral?

The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek R1 is the cheaper option. For maximum context length, Codestral supports 256,000 tokens. Use the comparison table above to find the right fit for your workload.