GPT-4.1 nano vs GPT-6 Sol
GPT-6 Sol leads the LLM Stats Score 49.4 to 1.6. GPT-4.1 nano is 22.9x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to 1.6, ranking #21 overall.
On price, GPT-4.1 nano is roughly 22.9x 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-4.1 nano
- cost matters — it's about 22.9x cheaper per token
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
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-4.1 nano · 5 for GPT-6 Sol
GPT-4.1 nano and GPT-6 Soldon'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-4.1 nano ($0.10/1M tokens) is 20.0x cheaper than GPT-6 Sol ($2.00/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 25.0x cheaper than GPT-6 Sol ($10.00/1M tokens).
In conclusion, GPT-6 Sol is more expensive than GPT-4.1 nano.*
* 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 GPT-4.1 nano's 1,047,576 tokens. GPT-6 Sol can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 nano and GPT-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
GPT-6 Sol
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-4.1 nano was released on 2025-04-14, while GPT-6 Sol was released on 2026-09-22.
GPT-6 Sol is 18 months newer than GPT-4.1 nano.
Apr 14, 2025
1.4 years ago
Sep 22, 2026
0 days ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a knowledge cutoff of 2024-05-31, while GPT-6 Sol has a cutoff of 2026-04-20.
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 GPT-4.1 nano (2024-05-31).
May 2024
Apr 2026
1.9 yr newerProvider Availability
GPT-4.1 nano is available from OpenAI. GPT-6 Sol is available from OpenAI.
GPT-4.1 nano
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs GPT-6 Sol.