GPT-6 Astra vs Qwen3.8 Flash: Specs & Benchmark Comparison
| Characteristic | GPT-6 Astra | Qwen3.8 Flash |
|---|---|---|
| Company | OpenAI | Alibaba |
| Release Date | September 3, 2026 | August 26, 2026 |
| Parameters | — | 125B |
| Multimodal | Yes | Yes |
| Context (input) | 1.1M | 1.0M |
| Context (output) | 128K | 131K |
| Input Price / 1M | $10.00 | $0.15 |
| Output Price / 1M | $50.00 | $0.47 |
| Average Score | 0.7 | 0.7 |
| Benchmarks | ||
| OSWorld 2.0 | 0.7 | 0.2 |
| DeepSWE 1.1 | 0.7 | 0.6 |
| Agents' Last Exam | 0.6 | 0.5 |
| GPQA Diamond | 1.0 | 0.9 |
Visual Benchmark Comparison
GPT-6 Astra
Qwen3.8 Flash
OSWorld 2.00.7 vs 0.2
0.7
0.2
DeepSWE 1.10.7 vs 0.6
0.7
0.6
Agents' Last Exam0.6 vs 0.5
0.6
0.5
GPQA Diamond1.0 vs 0.9
1.0
0.9
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GPT-6 Astra — 0.7, Qwen3.8 Flash — 0.7.
API Cost
Qwen3.8 Flash is 96.8x cheaper: input $0.15/1M vs $10.00/1M tokens.
Context Window
GPT-6 Astra supports a larger context: 1M vs 1M tokens.
Recency
Both models were released around the same time: 9/3/2026 and 8/26/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — GPT-6 Astra or Qwen3.8 Flash?
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 Flash?
Qwen3.8 Flash is cheaper for input: $0.15 per 1M tokens vs $10.00.
Which has a larger context window — GPT-6 Astra or Qwen3.8 Flash?
GPT-6 Astra supports a larger context: 1,050,000 tokens vs 1,048,576.
The GPT-6 Astra and Qwen3.8 Flash 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 Flash page. See also the complete list of AI model comparisons.