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GPT-6 Sol vs o1-pro

GPT-6 Sol leads the LLM Stats Score 49.4 to 19.7.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 19.7, ranking #21 overall.

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

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose o1-pro

  • you are already invested in the OpenAI ecosystem

At a glance

The differences that matter most.

GPT-6 Sol
OpenAI
o1-pro
OpenAI
Core performance indexes
LLM Stats Score
49.4
#21
19.7
#205
Reasoning
45.6
#29
20.0
#196
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Sol · 2 for o1-pro

No common benchmarks found

GPT-6 Sol and o1-prodon'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

Only GPT-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Sol and o1-pro support multimodal inputs.

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

GPT-6 Sol

Text
Images
Audio
Video

o1-pro

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-6 Sol

Proprietary

Closed source

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while o1-pro was released on 2024-12-17.

GPT-6 Sol is 21 months newer than o1-pro.

GPT-6 Sol

Sep 22, 2026

0 days ago

1.8yr newer
o1-pro

Dec 17, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a knowledge cutoff of 2026-04-20, while o1-pro has a cutoff of 2023-09-30.

GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to o1-pro (2023-09-30).

GPT-6 Sol

Apr 2026

2.6 yr newer
o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Sol and o1-pro side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
o1-pro
Open in Playground

FAQ

Common questions about GPT-6 Sol vs o1-pro.

Which is better, GPT-6 Sol or o1-pro?

GPT-6 Sol leads the LLM Stats Score 49.4 to 19.7. GPT-6 Sol 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-6 Sol compare to o1-pro in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for GPT-6 Sol and o1-pro?

GPT-6 Sol supports 1.1M 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-6 Sol and o1-pro?

Key differences include LLM Stats Score (49.4 vs 19.7). See the full comparison above for benchmark-by-benchmark results.

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