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Codestral vs o3-mini

Compare Mistral AI and OpenAI AI models

Mistral AI
Codestral
vs
OpenAI
o3-mini

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Codestral

Per Request:$0.000750
Daily:$0.075
Monthly:$2.25
Yearly:$27.375

o3-mini

Per Request:$0.003300
Daily:$0.33
Monthly:$9.90
Yearly:$120.45

Cost Differences

+$0.002550
Per Request
+$0.255
Daily
+$7.65
Monthly
+$93.075
Yearly

o3-mini costs more than Codestral

Feature Comparison

FeatureCodestralo3-mini
ProviderMistral AIOpenAI
Input Price$0.30/1M tokens$1.10/1M tokens
Output Price$0.90/1M tokens$4.40/1M tokens
Context Window128,000 tokens500,000 tokens
Max Output32,768 tokens65,536 tokens
Categorybalancedreasoning
Capabilities
textcode
textreasoningcode
Release Date7/30/20251/31/2025

Codestral vs o3-mini: Which Should You Choose?

Choosing between Codestral and o3-mini depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens73% cheaper than o3-mini. Meanwhile, o3-mini offers a significantly larger context window at 500,000 tokens vs 128,000 for Codestral.

These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Codestral is a balanced model while o3-mini is reasoning. This means they're optimized for different workloads. o3-mini targets more demanding workloads, while Codestral provides a cost-effective option for everyday tasks.

Output costs matter too. Codestral charges $0.90/1M output tokens vs $4.40 for o3-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codestral has the edge here at $0.90/1M output tokens.

Best Use Cases

Choose Codestral when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem

Choose o3-mini when:

  • • You need a larger context window (500,000 tokens)
  • • You need more capabilities (reasoning)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Codestral (Mistral AI)

o3-mini (OpenAI)

Start using Codestral today

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Start using o3-mini today

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Frequently Asked Questions

Which is cheaper, Codestral or o3-mini?
Codestral is cheaper for input tokens at $0.30 per million tokens vs $1.10 for o3-mini — that's 73% savings on input costs.
What is the context window difference between Codestral and o3-mini?
Codestral supports 128,000 tokens while o3-mini supports 500,000 tokens — a difference of 372,000 tokens in favor of o3-mini.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Codestral is the lower-cost option, while o3-mini offers a larger context window (500,000 vs 128,000 tokens). Choose Codestral for budget sensitivity or o3-mini for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Codestral costs about $2.25/month and o3-mini costs about $9.90/month. Overall, Codestral has lower combined input + output rates ($0.30 in, $0.90 out) vs o3-mini.

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