GPT-6 Astra vs o1-mini
GPT-6 Astra leads the LLM Stats Score 60.7 to 10.1. o1-mini is 3.8x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 10.1, 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, o1-mini is roughly 3.8x 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-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
- you want the most recent training data — it shipped Sep 2026
Choose o1-mini
- cost matters — it's about 3.8x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 6 for o1-mini
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.
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-6 Astra ($10.00/1M tokens) is 3.3x more expensive than o1-mini ($3.00/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 4.2x more expensive than o1-mini ($12.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than o1-mini.*
* 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 o1-mini's 128,000 tokens. GPT-6 Astra 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 Astra supports multimodal inputs, whereas o1-mini does not.
GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Astra
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 Astra was released on 2026-09-03, while o1-mini was released on 2024-09-12.
GPT-6 Astra is 24 months newer than o1-mini.
Sep 3, 2026
0 days ago
2.0yr newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while o1-mini's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without o1-mini's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. o1-mini is available from OpenAI, Azure.
GPT-6 Astra
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs o1-mini.