GPT-6 Astra vs GPT OSS 20B High
GPT-6 Astra leads the LLM Stats Score 59.6 to 27.6. GPT OSS 20B High is 100.0x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 59.6 to 27.6, 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 OSS 20B High is roughly 100.0x 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 59.6 and ranks #1 on LLM Stats
- your work emphasizes reasoning — 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 GPT OSS 20B High
- cost matters — it's about 100.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
22 reported for GPT-6 Astra · 2 for GPT OSS 20B High
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while GPT OSS 20B High 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 100.0x more expensive than GPT OSS 20B High ($0.10/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 100.0x more expensive than GPT OSS 20B High ($0.50/1M tokens).
In conclusion, GPT-6 Astra is more expensive than GPT OSS 20B High.*
* 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 OSS 20B High's 131,072 tokens. GPT OSS 20B High can generate longer responses up to 131,072 tokens, while GPT-6 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas GPT OSS 20B High 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
GPT OSS 20B High
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while GPT OSS 20B High uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6 Astra was released on 2026-09-04, while GPT OSS 20B High was released on 2025-08-05.
GPT-6 Astra is 13 months newer than GPT OSS 20B High.
Sep 4, 2026
2 weeks ago
1.1yr newerAug 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while GPT OSS 20B High'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 GPT OSS 20B High's cutoff date.
Apr 2026
—
Provider Availability
GPT-6 Astra is available from OpenAI. GPT OSS 20B High is available from OpenAI.
GPT-6 Astra
GPT OSS 20B High
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and GPT OSS 20B High side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs GPT OSS 20B High.