GPT-5.4 vs GPT-5.3 Codex Comparison

Comparing GPT-5.4 and GPT-5.3 Codex across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.4 outperforms in 2 benchmarks (OSWorld-Verified, SWE-Bench Pro), while GPT-5.3 Codex is better at 1 benchmark (Terminal-Bench 2.0).

GPT-5.4 shows notably better performance in the majority of benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
OpenAI
GPT-5.3 Codex
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only GPT-5.4 specifies input context (1,000,000 tokens). Only GPT-5.4 specifies output context (128,000 tokens).

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
OpenAI
GPT-5.3 Codex
Input- tokens
Output- tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.4 and GPT-5.3 Codex support multimodal inputs.

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

GPT-5.4

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-5.4

Proprietary

Closed source

GPT-5.3 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while GPT-5.3 Codex was released on 2026-02-05.

GPT-5.4 is 1 month newer than GPT-5.3 Codex.

GPT-5.4

Mar 5, 2026

1 weeks ago

4w newer
GPT-5.3 Codex

Feb 5, 2026

1 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Larger context window (1,000,000 tokens)
Higher OSWorld-Verified score (75.0% vs 64.7%)
Higher SWE-Bench Pro score (57.7% vs 56.8%)
Higher Terminal-Bench 2.0 score (77.3% vs 75.1%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
OpenAI
GPT-5.3 Codex