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GPT-5.1 Codex Mini vs Parse

Comparing GPT-5.1 Codex Mini and Parse across benchmarks, pricing, and capabilities.

OpenAI · Cohere · Updated for 2026

Which is better?

GPT-5.1 Codex Mini and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

GPT-5.1 Codex Mini 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-5.1 Codex Mini

  • 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
$0.25 / M
— / M
Output price
$2.00 / M
— / M
Context window
400,000
8,192

Individual benchmarks

1 reported for GPT-5.1 Codex Mini · 1 for Parse

No common benchmarks found

GPT-5.1 Codex Mini 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-5.1 Codex Mini accepts 400,000 input tokens compared to Parse's 8,192 tokens. Only GPT-5.1 Codex Mini specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex Mini
Input400,000 tokens
Output128,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.1 Codex Mini and Parse support multimodal inputs.

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

GPT-5.1 Codex Mini

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-5.1 Codex Mini

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.1 Codex Mini was released on 2025-11-12, while Parse was released on 2026-08-27.

Parse is 10 months newer than GPT-5.1 Codex Mini.

GPT-5.1 Codex Mini

Nov 12, 2025

10 months ago

Parse

Aug 27, 2026

3 weeks ago

9mo 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-5.1 Codex Mini is available from OpenAI. Parse is available from Azure, Cohere.

GPT-5.1 Codex Mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M

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-5.1 Codex Mini and Parse side-by-side, then vote on the output you prefer.

GPT-5.1 Codex Mini
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about GPT-5.1 Codex Mini vs Parse.

Which is better, GPT-5.1 Codex Mini or Parse?

GPT-5.1 Codex Mini (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-5.1 Codex Mini compare to Parse in benchmarks?

GPT-5.1 Codex Mini scores AIME 2025: 42.1%. Parse scores ParseBench: 79.2%.

What are the context window sizes for GPT-5.1 Codex Mini and Parse?

GPT-5.1 Codex Mini 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-5.1 Codex Mini and Parse?

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

Who makes GPT-5.1 Codex Mini and Parse?

GPT-5.1 Codex Mini is developed by OpenAI and Parse is developed by Cohere.