Codestral vs GPT-5.3 Codex: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Mistral
Codestral
Pricing (per 1M tokens)
Input$0.3000
Output$0.9000
Context & Output
Context Window256K tokens
Max Output32.8K tokens
Capabilities
Categorymid
Multimodaltext
Fine-tuningNo
StreamingYes
OpenAI
GPT-5.3 Codex
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Codestral
82.9% cheaper
Cheaper Output Price
Codestral
93.6% cheaper
Larger Context Window
GPT-5.3 Codex
+144K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Codestral
$1.20
$0.3000/1M input + $0.9000/1M output
GPT-5.3 Codex
$15.75
$1.75/1M input + $14.00/1M output
Codestral is 92.4% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Codestral or GPT-5.3 Codex?
For input tokens, Codestral is cheaper at $0.3000 per 1M tokens. For output tokens, Codestral is cheaper at $0.9000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Codestral vs GPT-5.3 Codex?
Codestral has a context window of 256K tokens, while GPT-5.3 Codex has 400K tokens. GPT-5.3 Codex supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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