GPT-6 Astra vs GPT-6 Sol
GPT-6 Astra leads the LLM Stats Score 59.5 to 49.4. GPT-6 Sol is 5.0x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 59.5 to 49.4, ranking #2 overall.
In the 4 individual benchmarks reported for both models, GPT-6 Astra wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6 Sol is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Astra
- overall performance matters — it scores 59.5 and ranks #2 on LLM Stats
- your work emphasizes coding and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose GPT-6 Sol
- cost matters — it's about 5.0x cheaper per token
- 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
22 reported for GPT-6 Astra · 5 for GPT-6 Sol
GPT-6 Astra outperforms in 4 benchmarks (Agents' Last Exam, DeepSWE 1.1, FrontierCode 1.1, OSWorld 2.0), while GPT-6 Sol 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 5.0x more expensive than GPT-6 Sol ($2.00/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 5.0x more expensive than GPT-6 Sol ($10.00/1M tokens).
In conclusion, GPT-6 Astra 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
Both models have the same input context window of 1,050,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and GPT-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
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-6 Astra was released on 2026-09-04, while GPT-6 Sol was released on 2026-09-22.
GPT-6 Sol is 1 month newer than GPT-6 Astra.
Sep 4, 2026
2 weeks ago
Sep 22, 2026
0 days ago
2w newerKnowledge Cutoff
When training data ends
GPT-6 Astra has a knowledge cutoff of 2026-04-30, while GPT-6 Sol has a cutoff of 2026-04-20.
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-6 Sol (2026-04-20).
Apr 2026
Apr 2026
Provider Availability
GPT-6 Astra is available from OpenAI. GPT-6 Sol is available from OpenAI.
GPT-6 Astra
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs GPT-6 Sol.