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o1-mini vs Parse

Comparing o1-mini and Parse across benchmarks, pricing, and capabilities.

OpenAI · Cohere · Updated for 2026

Which is better?

o1-mini and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

o1-mini also accepts a larger context window (128,000 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 o1-mini

  • you process long inputs — it offers a 128,000 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
$3.00 / M
— / M
Output price
$12.00 / M
— / M
Context window
128,000
8,192

Individual benchmarks

6 reported for o1-mini · 1 for Parse

No common benchmarks found

o1-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

o1-mini accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only o1-mini specifies output context (65,536 tokens).

OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas o1-mini does not.

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

o1-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.

o1-mini

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

o1-mini was released on 2024-09-12, while Parse was released on 2026-08-27.

Parse is 24 months newer than o1-mini.

o1-mini

Sep 12, 2024

2.0 years ago

Parse

Aug 27, 2026

3 days ago

2.0yr 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

o1-mini is available from OpenAI, Azure. Parse is available from Azure, Cohere.

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M

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 o1-mini and Parse side-by-side, then vote on the output you prefer.

o1-mini
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about o1-mini vs Parse.

Which is better, o1-mini or Parse?

o1-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 o1-mini compare to Parse in benchmarks?

o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for o1-mini and Parse?

o1-mini supports 128K 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 o1-mini and Parse?

Key differences include context window (128K vs 8K), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes o1-mini and Parse?

o1-mini is developed by OpenAI and Parse is developed by Cohere.