GPT-4.1 nano vs GPT-6 Astra
GPT-6 Astra leads the LLM Stats Score 60.7 to 1.9. GPT-4.1 nano is 114.3x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 1.9, ranking #1 overall.
In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 nano is roughly 114.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra 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 114.3x cheaper per token
Choose GPT-6 Astra
- overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
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 · 22 for GPT-6 Astra
GPT-4.1 nano outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).
GPT-6 Astra significantly outperforms across most benchmarks.
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 100.0x cheaper than GPT-6 Astra ($10.00/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 125.0x cheaper than GPT-6 Astra ($50.00/1M tokens).
In conclusion, GPT-6 Astra 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 Astra accepts 1,050,000 input tokens compared to GPT-4.1 nano's 1,047,576 tokens. GPT-6 Astra 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 Astra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
GPT-6 Astra
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 Astra's release date is not specified.
We can confirm GPT-4.1 nano's release timeline, but cannot make a direct age comparison without GPT-6 Astra's release date.
Apr 14, 2025
1.4 years ago
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Knowledge Cutoff
When training data ends
GPT-4.1 nano has a knowledge cutoff of 2024-05-31, while GPT-6 Astra has a cutoff of 2026-04-30.
GPT-6 Astra has more recent training data (up to 2026-04-30), 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 Astra is available from OpenAI.
GPT-4.1 nano
GPT-6 Astra
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs GPT-6 Astra.