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GPT-5.2 Codex vs Parse

Comparing GPT-5.2 Codex and Parse across benchmarks, pricing, and capabilities.

OpenAI · Cohere · Updated for 2026

Which is better?

GPT-5.2 Codex and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

GPT-5.2 Codex also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-5.2 Codex

  • you process long inputs — it offers a 400,000 token context window

Choose Parse

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.75 / M
— / M
Output price
$14.00 / M
— / M
Context window
400,000
8,192

Individual benchmarks

3 reported for GPT-5.2 Codex · 1 for Parse

No common benchmarks found

GPT-5.2 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

GPT-5.2 Codex accepts 400,000 input tokens compared to Parse's 8,192 tokens. Only GPT-5.2 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.2 Codex
Input400,000 tokens
Output128,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.2 Codex and Parse support multimodal inputs.

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

GPT-5.2 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-5.2 Codex

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.2 Codex was released on 2026-01-14, while Parse was released on 2026-08-27.

Parse is 8 months newer than GPT-5.2 Codex.

GPT-5.2 Codex

Jan 14, 2026

7 months ago

Parse

Aug 27, 2026

4 days ago

7mo newer

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

Provider Availability

GPT-5.2 Codex is available from OpenAI. Parse is available from Azure, Cohere.

GPT-5.2 Codex

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

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.2 Codex and Parse side-by-side, then vote on the output you prefer.

GPT-5.2 Codex
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about GPT-5.2 Codex vs Parse.

Which is better, GPT-5.2 Codex or Parse?

GPT-5.2 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-5.2 Codex compare to Parse in benchmarks?

GPT-5.2 Codex scores LiveBench: 74.3%, Terminal-Bench 2.0: 64.0%, SWE-Bench Pro: 56.4%. Parse scores ParseBench: 79.2%.

What are the context window sizes for GPT-5.2 Codex and Parse?

GPT-5.2 Codex supports 400K 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-5.2 Codex and Parse?

Key differences include context window (400K vs 8K). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 Codex and Parse?

GPT-5.2 Codex is developed by OpenAI and Parse is developed by Cohere.