GPT-4 vs GPT-6 Astra
GPT-6 Astra leads the LLM Stats Score 60.7 to 3.2. GPT-6 Astra is 1.9x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 3.2, 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-6 Astra is roughly 1.9x 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
- you want predictable pricing at $30.00/M input and $60.00/M output
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
- cost matters — it's about 1.9x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for GPT-4 · 22 for GPT-6 Astra
GPT-4 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 ($30.00/1M tokens) is 3.0x more expensive than GPT-6 Astra ($10.00/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 1.2x more expensive than GPT-6 Astra ($50.00/1M tokens).
In conclusion, GPT-4 is more expensive than GPT-6 Astra.*
* 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's 32,768 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4 and GPT-6 Astra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
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 was released on 2023-06-13, while GPT-6 Astra was released on 2026-09-03.
GPT-6 Astra is 39 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Sep 3, 2026
0 days ago
3.2yr newerKnowledge Cutoff
When training data ends
GPT-4 has a knowledge cutoff of 2022-12-31, 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 (2022-12-31).
Dec 2022
Apr 2026
3.3 yr newerProvider Availability
GPT-4 is available from Azure, OpenAI. GPT-6 Astra is available from OpenAI.
GPT-4
GPT-6 Astra
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs GPT-6 Astra.