The AI arena is free today

Open Superagent

GPT OSS 20B vs o1-pro

GPT OSS 20B and o1-pro are closely matched at 17.9 and 19.7 on the LLM Stats Score.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT OSS 20B and o1-pro are closely matched on the overall LLM Stats Score at 17.9 and 19.7.

In the 1 individual benchmarks reported for both models, o1-pro wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT OSS 20B

  • you want the most recent training data — it shipped Aug 2025
  • you need open weights you can self-host or fine-tune

Choose o1-pro

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
17.9
#222
19.7
#205
15.6
#228
20.0
#196
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.03 / M
— / M
Output price
$0.14 / M
— / M
Context window
131,072

Individual benchmarks

7 reported for GPT OSS 20B · 2 for o1-pro

1 shared

GPT OSS 20B outperforms in 0 benchmarks, while o1-pro is better at 1 benchmark (GPQA).

o1-pro significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT OSS 20B specifies input context (131,072 tokens). Only GPT OSS 20B specifies output context (131,072 tokens).

OpenAI
GPT OSS 20B
Input131,072 tokens
Output131,072 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

o1-pro supports multimodal inputs, whereas GPT OSS 20B does not.

o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 20B

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 20B is licensed under Apache 2.0, while o1-pro uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GPT OSS 20B

Apache 2.0

Open weights

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while o1-pro was released on 2024-12-17.

GPT OSS 20B is 8 months newer than o1-pro.

GPT OSS 20B

Aug 5, 2025

1.1 years ago

7mo newer
o1-pro

Dec 17, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while GPT OSS 20B's cutoff date is not specified.

We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without GPT OSS 20B's cutoff date.

GPT OSS 20B

o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT OSS 20B and o1-pro side-by-side, then vote on the output you prefer.

GPT OSS 20B
✓ Preferred
o1-pro
Open in Playground

FAQ

Common questions about GPT OSS 20B vs o1-pro.

Which is better, GPT OSS 20B or o1-pro?

GPT OSS 20B and o1-pro are closely matched on the LLM Stats Score at 17.9 and 19.7. GPT OSS 20B is made by OpenAI and o1-pro is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT OSS 20B compare to o1-pro in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for GPT OSS 20B and o1-pro?

GPT OSS 20B supports 131K tokens and o1-pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT OSS 20B and o1-pro?

Key differences include LLM Stats Score (17.9 vs 19.7), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.