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GPT-5 Codex vs Parse

Comparing GPT-5 Codex and Parse across benchmarks, pricing, and capabilities.

OpenAI · Cohere · Updated for 2026

Which is better?

GPT-5 Codex and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GPT-5 Codex

  • you are already invested in the OpenAI ecosystem

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

GPT-5 Codex
OpenAI
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

1 reported for GPT-5 Codex · 1 for Parse

No common benchmarks found

GPT-5 Codex and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-5 Codex

Text
Images
Audio
Video

Parse

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 Codex

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 Codex was released on 2025-09-15, while Parse was released on 2026-08-27.

Parse is 12 months newer than GPT-5 Codex.

GPT-5 Codex

Sep 15, 2025

11 months ago

Parse

Aug 27, 2026

1 weeks ago

11mo newer

Knowledge Cutoff

When training data ends

GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while Parse's cutoff date is not specified.

We can confirm GPT-5 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without Parse's cutoff date.

GPT-5 Codex

Sep 2024

Parse

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

GPT-5 Codex
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about GPT-5 Codex vs Parse.

Which is better, GPT-5 Codex or Parse?

GPT-5 Codex (OpenAI) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

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

GPT-5 Codex scores SWE-Bench Verified: 74.5%. Parse scores ParseBench: 79.2%.

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

GPT-5 Codex supports an unknown number of tokens and Parse supports 8K 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 Codex and Parse?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 Codex and Parse?

GPT-5 Codex is developed by OpenAI and Parse is developed by Cohere.

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