GPT-6 Astra vs Qwen3.8 Max: Specs & Benchmark Comparison
| Characteristic | GPT-6 Astra | Qwen3.8 Max |
|---|---|---|
| Company | OpenAI | Alibaba |
| Release Date | September 3, 2026 | August 2, 2026 |
| Parameters | — | 2.4T |
| Multimodal | Yes | Yes |
| Context (input) | 1.1M | 1.0M |
| Context (output) | 128K | 131K |
| Input Price / 1M | $10.00 | $2.50 |
| Output Price / 1M | $50.00 | $6.25 |
| Average Score | 0.7 | 0.9 |
Verdict
GPT-6 Astra leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-6 Astra — 0.7, Qwen3.8 Max — 0.9.
API Cost
Qwen3.8 Max is 6.9x cheaper: input $2.50/1M vs $10.00/1M tokens.
Context Window
GPT-6 Astra supports a larger context: 1M vs 1M tokens.
Recency
GPT-6 Astra is newer: released 9/3/2026 vs 8/2/2026.
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Frequently Asked Questions
Which is better for coding — GPT-6 Astra or Qwen3.8 Max?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GPT-6 Astra or Qwen3.8 Max?
Qwen3.8 Max is cheaper for input: $2.50 per 1M tokens vs $10.00.
Which has a larger context window — GPT-6 Astra or Qwen3.8 Max?
GPT-6 Astra supports a larger context: 1,050,000 tokens vs 1,000,000.
The GPT-6 Astra and Qwen3.8 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-6 Astra or Qwen3.8 Max page. See also the complete list of AI model comparisons.