The AI arena is free today

Open Superagent

GPT-5 vs GPT-5 Codex

GPT-5 and GPT-5 Codex are closely matched at 33.8 and 26.6 on the LLM Stats Score.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-5 and GPT-5 Codex are closely matched on the overall LLM Stats Score at 33.8 and 26.6.

In the 1 individual benchmarks reported for both models, GPT-5 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose GPT-5 Codex

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
33.8
#103
26.6
#155
34.2
#96
26.5
#153
26.4
#70
19.3
#112
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Individual benchmarks

34 reported for GPT-5 · 1 for GPT-5 Codex

1 shared

GPT-5 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-5 Codex is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Fri Sep 25 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Fri Sep 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5 supports multimodal inputs, whereas GPT-5 Codex does not.

GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5

Text
Images
Audio
Video

GPT-5 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

Proprietary

Closed source

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while GPT-5 Codex was released on 2025-09-15.

GPT-5 Codex is 1 month newer than GPT-5.

GPT-5

Aug 7, 2025

1.1 years ago

GPT-5 Codex

Sep 15, 2025

1.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2024-09-30.

They should have similar awareness of historical events and information up to this date.

GPT-5

Sep 2024

GPT-5 Codex

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5 and GPT-5 Codex side-by-side, then vote on the output you prefer.

GPT-5
✓ Preferred
GPT-5 Codex
Open in Playground

FAQ

Common questions about GPT-5 vs GPT-5 Codex.

Which is better, GPT-5 or GPT-5 Codex?

GPT-5 and GPT-5 Codex are closely matched on the LLM Stats Score at 33.8 and 26.6. GPT-5 is made by OpenAI and GPT-5 Codex is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5 compare to GPT-5 Codex in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. GPT-5 Codex scores SWE-Bench Verified: 74.5%.

What are the context window sizes for GPT-5 and GPT-5 Codex?

GPT-5 supports 400K tokens and GPT-5 Codex supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 and GPT-5 Codex?

Key differences include LLM Stats Score (33.8 vs 26.6), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.