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GPT-5 Medium vs Parse

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

OpenAI · Cohere · Updated for 2026

Which is better?

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

GPT-5 Medium 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 Medium

  • 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
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
8,192

Individual benchmarks

2 reported for GPT-5 Medium · 1 for Parse

No common benchmarks found

GPT-5 Medium 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 Medium accepts 400,000 input tokens compared to Parse's 8,192 tokens. Only GPT-5 Medium specifies output context (128,000 tokens).

OpenAI
GPT-5 Medium
Input400,000 tokens
Output128,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5 Medium and Parse support multimodal inputs.

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

GPT-5 Medium

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 Medium

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 Medium was released on 2025-08-07, while Parse was released on 2026-08-27.

Parse is 13 months newer than GPT-5 Medium.

GPT-5 Medium

Aug 7, 2025

1.1 years ago

Parse

Aug 27, 2026

3 days ago

1.1yr newer

Knowledge Cutoff

When training data ends

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

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

GPT-5 Medium

Sep 2024

Parse

Provider Availability

GPT-5 Medium is available from OpenAI. Parse is available from Azure, Cohere.

GPT-5 Medium

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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 Medium and Parse side-by-side, then vote on the output you prefer.

GPT-5 Medium
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about GPT-5 Medium vs Parse.

Which is better, GPT-5 Medium or Parse?

GPT-5 Medium (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 Medium compare to Parse in benchmarks?

GPT-5 Medium scores AIME 2025: 88.9%, GPQA: 88.1%. Parse scores ParseBench: 79.2%.

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

GPT-5 Medium 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 Medium and Parse?

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

Who makes GPT-5 Medium and Parse?

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