GPT-6 Sol vs o1-mini
GPT-6 Sol leads the LLM Stats Score 49.4 to 10.0. GPT-6 Sol is 1.3x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to 10.0, ranking #21 overall.
On price, GPT-6 Sol is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Sol also accepts a larger context window (1,050,000 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-6 Sol
- overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Sol · 6 for o1-mini
GPT-6 Sol and o1-minidon'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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Sol ($2.00/1M tokens) is 1.5x cheaper than o1-mini ($3.00/1M tokens).
For output processing, GPT-6 Sol ($10.00/1M tokens) is 1.2x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than GPT-6 Sol.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Sol accepts 1,050,000 input tokens compared to o1-mini's 128,000 tokens. GPT-6 Sol can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Sol supports multimodal inputs, whereas o1-mini does not.
GPT-6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Sol
o1-mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-6 Sol was released on 2026-09-22, while o1-mini was released on 2024-09-12.
GPT-6 Sol is 25 months newer than o1-mini.
Sep 22, 2026
0 days ago
2.0yr newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while o1-mini's cutoff date is not specified.
We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without o1-mini's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Sol is available from OpenAI. o1-mini is available from OpenAI, Azure.
GPT-6 Sol
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Sol and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Sol vs o1-mini.