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GPT-5.3 Codex vs Grok 4.20

Compare OpenAI and xAI AI models

OpenAI
GPT-5.3 Codex
vs
xAI
Grok 4.20

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

Grok 4.20

Per Request:$0.005000
Daily:$0.50
Monthly:$15.00
Yearly:$182.50

Cost Differences

$0.003750
Per Request
$0.375
Daily
$11.25
Monthly
$136.875
Yearly

Grok 4.20 costs less than GPT-5.3 Codex

Feature Comparison

FeatureGPT-5.3 CodexGrok 4.20
ProviderOpenAIxAI
Input Price$1.75/1M tokens$2.00/1M tokens
Output Price$14.00/1M tokens$6.00/1M tokens
Context Window256,000 tokens2,000,000 tokens
Max Output32,768 tokens131,072 tokens
Categorycodingreasoning
Capabilities
textcode
textvisionreasoningcode
Release Date3/1/20262/17/2026

GPT-5.3 Codex vs Grok 4.20: Which Should You Choose?

Choosing between GPT-5.3 Codex and Grok 4.20 depends on your priorities: cost efficiency, context length, or raw capability. Grok 4.20 is the more affordable option at $2.00/1M input tokens. Meanwhile, Grok 4.20 offers a significantly larger context window at 2,000,000 tokens vs 256,000 for GPT-5.3 Codex.

These models come from different providers — OpenAI and xAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to xAIinvolves 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 Grok 4.20 is reasoning. This means they're optimized for different workloads. Grok 4.20 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 $6.00 for Grok 4.20. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Grok 4.20 has the edge here at $6.00/1M output tokens.

Multimodal capabilities: Grok 4.20 supports vision (image inputs) while GPT-5.3 Codex is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose GPT-5.3 Codex when:

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

Choose Grok 4.20 when:

  • • You need a larger context window (2,000,000 tokens)
  • • You need more capabilities (vision, reasoning)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using xAI's API ecosystem

Try Different Scenarios

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

GPT-5.3 Codex (OpenAI)

Grok 4.20 (xAI)

Start using GPT-5.3 Codex today

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Start using Grok 4.20 today

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Frequently Asked Questions

Which is cheaper, GPT-5.3 Codex or Grok 4.20?
Grok 4.20 is cheaper for input tokens at $2.00 per million tokens vs $1.75 for GPT-5.3 Codex.
What is the context window difference between GPT-5.3 Codex and Grok 4.20?
GPT-5.3 Codex supports 256,000 tokens while Grok 4.20 supports 2,000,000 tokens — a difference of 1,744,000 tokens in favor of Grok 4.20.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Grok 4.20 is the lower-cost option, while Grok 4.20 offers a larger context window (2,000,000 vs 256,000 tokens). Choose Grok 4.20 for budget sensitivity or Grok 4.20 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 Grok 4.20 costs about $15.00/month. Overall, Grok 4.20 has lower combined input + output rates ($2.00 in, $6.00 out) vs GPT-5.3 Codex.

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