Model Comparison

GPT-5.2 vs GPT-5.3 Codex

GPT-5.3 Codex significantly outperforms across most benchmarks. GPT-5.2 and GPT-5.3 Codex cost the same.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.2 outperforms in 0 benchmarks, while GPT-5.3 Codex is better at 1 benchmark (SWE-Lancer (IC-Diamond subset)).

GPT-5.3 Codex significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.3 Codex costs less

For input processing, GPT-5.2 ($1.75/1M tokens) costs the same as GPT-5.3 Codex ($1.75/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) costs the same as GPT-5.3 Codex ($14.00/1M tokens).

In conclusion, GPT-5.2 and GPT-5.3 Codex cost the same.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
OpenAI
GPT-5.3 Codex
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 400,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.2 and GPT-5.3 Codex support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.2

Text
Images
Audio
Video

GPT-5.3 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.2

Proprietary

Closed source

GPT-5.3 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while GPT-5.3 Codex was released on 2026-02-05.

GPT-5.3 Codex is 2 months newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

3 months ago

GPT-5.3 Codex

Feb 5, 2026

2 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GPT-5.3 Codex's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without GPT-5.3 Codex's cutoff date.

GPT-5.2

Aug 2025

GPT-5.3 Codex

Provider Availability

GPT-5.2 is available from OpenAI. GPT-5.3 Codex is available from OpenAI.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

GPT-5.3 Codex

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher SWE-Lancer (IC-Diamond subset) score (81.4% vs 74.6%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
OpenAI
GPT-5.3 Codex

FAQ

Common questions about GPT-5.2 vs GPT-5.3 Codex

GPT-5.3 Codex significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and GPT-5.3 Codex is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, OSWorld-Verified: 64.7%, SWE-Bench Pro: 56.8%.
Both models cost $1.75 per million input tokens.
GPT-5.2 supports 400K tokens and GPT-5.3 Codex supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.