Codestral vs GPT-5 nano

Compare Mistral AI and OpenAI AI models

Mistral AI

Codestral

OpenAI

GPT-5 nano

Try Mistral AI →Try OpenAI →

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 nano

Per Request:$0.000250

Daily:$0.025

Monthly:$0.75

Yearly:$9.125

Cost Differences

$0.000500

Per Request

$0.05

Daily

$1.50

Monthly

$18.25

Yearly

GPT-5 nano costs less than Codestral

Feature Comparison

Feature	Codestral	GPT-5 nano
Provider	Mistral AI	OpenAI
Input Price	$0.30/1M tokens	$0.05/1M tokens
Output Price	$0.90/1M tokens	$0.40/1M tokens
Context Window	128,000 tokens	128,000 tokens
Max Output	32,768 tokens	8,192 tokens
Category	balanced	efficient
Capabilities	textcode	text
Release Date	7/30/2025	8/7/2025

Codestral vs GPT-5 nano: Which Should You Choose?

Choosing between Codestral and GPT-5 nano depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 nano is the more affordable option at $0.05/1M input tokens — 83% cheaper than 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 nano is efficient. This means they're optimized for different workloads. GPT-5 nano 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 $0.40 for GPT-5 nano. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 nano has the edge here at $0.40/1M output tokens.

Best Use Cases

Choose Codestral when:

• You need more capabilities (code)
• You need longer outputs (up to 32,768 tokens)
• You're already using Mistral AI's API ecosystem

Choose GPT-5 nano when:

• Budget is a primary concern
• You're already using OpenAI's API ecosystem
• You're running high-volume, latency-sensitive workloads

Try Different Scenarios

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

Codestral (Mistral AI)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

GPT-5 nano (OpenAI)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

Start using Codestral today

Start using GPT-5 nano today

Frequently Asked Questions

Which is cheaper, Codestral or GPT-5 nano?▼

GPT-5 nano is cheaper for input tokens at $0.05 per million tokens vs $0.30 for Codestral — that's 83% savings on input costs.

What is the context window difference between Codestral and GPT-5 nano?▼

Codestral supports 128,000 tokens while GPT-5 nano supports 128,000 tokens — a difference of 0 tokens in favor of Codestral.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, GPT-5 nano is the lower-cost option, while Codestral offers a larger context window (128,000 vs 128,000 tokens). Choose GPT-5 nano for budget sensitivity or Codestral 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 nano costs about $0.75/month. Overall, GPT-5 nano has lower combined input + output rates ($0.05 in, $0.40 out) vs Codestral.