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Codestral vs GPT-5.3 Codex

Compare Mistral AI and OpenAI AI models

Mistral AI
Codestral
vs
OpenAI
GPT-5.3 Codex

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

Codestral

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

GPT-5.3 Codex

Per Request:$0.008750
Daily:$0.875
Monthly:$26.25
Yearly:$319.375

Cost Differences

+$0.008000
Per Request
+$0.80
Daily
+$24.00
Monthly
+$292.00
Yearly

GPT-5.3 Codex costs more than Codestral

Feature Comparison

FeatureCodestralGPT-5.3 Codex
ProviderMistral AIOpenAI
Input Price$0.30/1M tokens$1.75/1M tokens
Output Price$0.90/1M tokens$14.00/1M tokens
Context Window128,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categorybalancedcoding
Capabilities
textcode
textcode
Release Date7/30/20253/1/2026

Codestral vs GPT-5.3 Codex: Which Should You Choose?

Choosing between Codestral and GPT-5.3 Codex depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens83% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 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 GPT-5.3 Codex is coding. This means they're optimized for different workloads. GPT-5.3 Codex 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 $14.00 for GPT-5.3 Codex. 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 GPT-5.3 Codex when:

  • • You need a larger context window (256,000 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)

GPT-5.3 Codex (OpenAI)

Start using Codestral today

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Start using GPT-5.3 Codex today

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Frequently Asked Questions

Which is cheaper, Codestral or GPT-5.3 Codex?
Codestral is cheaper for input tokens at $0.30 per million tokens vs $1.75 for GPT-5.3 Codex — that's 83% savings on input costs.
What is the context window difference between Codestral and GPT-5.3 Codex?
Codestral supports 128,000 tokens while GPT-5.3 Codex supports 256,000 tokens — a difference of 128,000 tokens in favor of GPT-5.3 Codex.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Codestral is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 128,000 tokens). Choose Codestral for budget sensitivity or GPT-5.3 Codex 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 GPT-5.3 Codex costs about $26.25/month. Overall, Codestral has lower combined input + output rates ($0.30 in, $0.90 out) vs GPT-5.3 Codex.

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