OpenAI • text#9 of 704 in intelligence
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...
Data source: Artificial Analysis · ID AA: 2f339a97-9a0d-499a-9cb5-e0db665bfa25 · Snapshot published: 10/27/2026, 3:00:24 PM · Methodology version: 4.3
AA Intelligence Index
52.7
Artificial Analysis · 4.3 · 10/27/2026, 3:00:24 PM
Context Window
1.1M tokens
Input Price/1M
$10.00
#423 of 445
Output Price/1M
$50.00
Parameters
—
Speed
61 tok/s
#122 of 160
Latency (TTFT)
362.3s
Max Output
128K tokens
Cost per Task
$3.2575
USD / task · lower is better · Artificial Analysis · 4.3 · 10/27/2026, 3:00:24 PM
Artificial Analysis metrics for GPT-6 Astra (Max). Higher is better for capability indexes; lower is better for cost per task.
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Agentic Index | 51.0 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Coding Index | 76.9 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Cost Per Task | 3.3 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Intelligence Index | 52.7 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
GPT-6 Astra (Max) is an AI model developed by OpenAI, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via OpenAI's cloud API. With a context window of 1.1M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
GPT-6 Astra (Max) is usage-based, priced at $10/1M input tokens and $50/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The premium pricing reflects the model's frontier capabilities, recommended for complex reasoning, analysis, and generation tasks where quality takes priority over cost.
GPT-6 Astra (Max) was evaluated on 4 different benchmarks, covering categories like Agentic, Coding, Cost, overall. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
GPT-6 Astra (Max) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, GPT-6 Astra (Max) competes directly with similarly capable models. Key competitors include Claude (Anthropic), Gemini (Google), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
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GPT-6 Astra (Max) is an AI model developed by OpenAI. It is a text model.
GPT-6 Astra (Max) costs $10/1M input tokens and $50/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, GPT-6 Astra (Max) scored: AA Agentic Index: 51/100, AA Coding Index: 76.9/100, AA Cost Per Task: 3.2575/100. See the full table above for a detailed comparison.
No, GPT-6 Astra (Max) is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
GPT-6 Astra (Max) excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: October 27, 2026 • View methodology →