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Codestral vs babbage-002

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Codestral Cost
$0.48
babbage-002 Cost
$0.48
Same cost at this usage
FeatureCodestralbabbage-002
ProviderMistralOpenAI
Input Price (1M)$0.30$0.40
Output Price (1M)$0.90$0.40
Context Window256,00016,384

Verdict

Codestral costs $0.30 per 1M input tokens and $0.90 per 1M output tokens. babbage-002 costs $0.40 per 1M input tokens and $0.40 per 1M output tokens. Codestral is 25% cheaper on input tokens than babbage-002. For output tokens, babbage-002 is the more affordable option at $0.40/1M 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 Codestral

  • ✓ You need the lowest input token cost ($ 0.30/1M)
  • ✓ You need a larger context window (256,000 tokens)
  • ✓ You are already integrated with Mistral

When to choose babbage-002

  • ✓ Your workload is output-heavy — babbage-002 generates text cheaper
  • ✓ You are already integrated with OpenAI

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 Codestral cheaper than babbage-002?

Codestral is cheaper on input tokens at $0.30/1M vs $0.40/1M for babbage-002 — a 25% saving.

What is the context window of Codestral vs babbage-002?

Codestral has a 256,000-token context window. babbage-002 has a 16,384-token context window. Codestral supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Codestral or babbage-002?

The best choice depends on your use case. For cost efficiency on input tokens, Codestral 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.