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GPT-5.3 Codex vs Mistral Large 3

Compare OpenAI and Mistral AI AI models

OpenAI
GPT-5.3 Codex
vs
Mistral AI
Mistral Large 3

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

GPT-5.3 Codex

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

Mistral Large 3

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

Cost Differences

$0.007500
Per Request
$0.75
Daily
$22.50
Monthly
$273.75
Yearly

Mistral Large 3 costs less than GPT-5.3 Codex

Feature Comparison

FeatureGPT-5.3 CodexMistral Large 3
ProviderOpenAIMistral AI
Input Price$1.75/1M tokens$0.50/1M tokens
Output Price$14.00/1M tokens$1.50/1M tokens
Context Window256,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categorycodingflagship
Capabilities
textcode
textcodereasoning
Release Date3/1/202612/2/2025

GPT-5.3 Codex vs Mistral Large 3: Which Should You Choose?

Choosing between GPT-5.3 Codex and Mistral Large 3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens71% cheaper than GPT-5.3 Codex.

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: GPT-5.3 Codex is a coding model while Mistral Large 3 is flagship. This means they're optimized for different workloads. Mistral Large 3 targets more demanding workloads, while GPT-5.3 Codex provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-5.3 Codex charges $14.00/1M output tokens vs $1.50 for Mistral Large 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.

Best Use Cases

Choose GPT-5.3 Codex when:

  • • You're already using OpenAI's API ecosystem

Choose Mistral Large 3 when:

  • • Budget is a primary concern
  • • You need more capabilities (reasoning)
  • • 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

GPT-5.3 Codex (OpenAI)

Mistral Large 3 (Mistral AI)

Start using GPT-5.3 Codex today

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Start using Mistral Large 3 today

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Frequently Asked Questions

Which is cheaper, GPT-5.3 Codex or Mistral Large 3?
Mistral Large 3 is cheaper for input tokens at $0.50 per million tokens vs $1.75 for GPT-5.3 Codex — that's 71% savings on input costs.
What is the context window difference between GPT-5.3 Codex and Mistral Large 3?
GPT-5.3 Codex supports 256,000 tokens while Mistral Large 3 supports 256,000 tokens — a difference of 0 tokens in favor of GPT-5.3 Codex.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Mistral Large 3 is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 256,000 tokens). Choose Mistral Large 3 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, GPT-5.3 Codex costs about $26.25/month and Mistral Large 3 costs about $3.75/month. Overall, Mistral Large 3 has lower combined input + output rates ($0.50 in, $1.50 out) vs GPT-5.3 Codex.

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