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Codex Mini vs Magistral Small

Compare OpenAI and Mistral AI AI models

OpenAI
Codex Mini
vs
Mistral AI
Magistral Small

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

Codex Mini

Per Request:$0.004500
Daily:$0.45
Monthly:$13.50
Yearly:$164.25

Magistral Small

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

Cost Differences

$0.003250
Per Request
$0.325
Daily
$9.75
Monthly
$118.625
Yearly

Magistral Small costs less than Codex Mini

Feature Comparison

FeatureCodex MiniMagistral Small
ProviderOpenAIMistral AI
Input Price$1.50/1M tokens$0.50/1M tokens
Output Price$6.00/1M tokens$1.50/1M tokens
Context Window200,000 tokens128,000 tokens
Max Output32,768 tokens16,384 tokens
Categoryefficientreasoning
Capabilities
textcodereasoning
textreasoning
Release Date2/2/202612/15/2025

Codex Mini vs Magistral Small: Which Should You Choose?

Choosing between Codex Mini and Magistral Small depends on your priorities: cost efficiency, context length, or raw capability. Magistral Small is the more affordable option at $0.50/1M input tokens67% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 128,000 for Magistral Small.

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

These models target different tiers: Codex Mini is a efficient model while Magistral Small is reasoning. This means they're optimized for different workloads. Magistral Small targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.

Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $1.50 for Magistral Small. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Magistral Small has the edge here at $1.50/1M output tokens.

Best Use Cases

Choose Codex Mini when:

  • • You need a larger context window (200,000 tokens)
  • • You need more capabilities (code)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Magistral Small when:

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

Try Different Scenarios

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

Codex Mini (OpenAI)

Magistral Small (Mistral AI)

Start using Codex Mini today

Sign Up for OpenAI

Start using Magistral Small today

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Frequently Asked Questions

Which is cheaper, Codex Mini or Magistral Small?
Magistral Small is cheaper for input tokens at $0.50 per million tokens vs $1.50 for Codex Mini — that's 67% savings on input costs.
What is the context window difference between Codex Mini and Magistral Small?
Codex Mini supports 200,000 tokens while Magistral Small supports 128,000 tokens — a difference of 72,000 tokens in favor of Codex Mini.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Magistral Small is the lower-cost option, while Codex Mini offers a larger context window (200,000 vs 128,000 tokens). Choose Magistral Small for budget sensitivity or Codex 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, Codex Mini costs about $13.50/month and Magistral Small costs about $3.75/month. Overall, Magistral Small has lower combined input + output rates ($0.50 in, $1.50 out) vs Codex Mini.

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