GPT-6 Astra vs Qwen3.8 Omni Flash: Specs & Benchmark Comparison

GPT-6 Astra is developed by OpenAI, while Qwen3.8 Omni Flash comes from Alibaba. Both were released in September 2026.

We have 22 benchmark results for GPT-6 Astra and 5 benchmark results for Qwen3.8 Omni Flash, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

GPT-6 Astra is available through an API at $10 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3.8 Omni Flash, so pricing and context cannot be compared directly.

CharacteristicGPT-6 AstraQwen3.8 Omni Flash
CompanyOpenAIAlibaba
Release DateSeptember 4, 2026September 18, 2026
Parameters——
MultimodalYesYes
Context (input)1.1M—
Context (output)128K—
Input Price / 1M$10.00—
Output Price / 1M$50.00—
Average Score74.4%80.7%

Verdict

Qwen3.8 Omni Flash leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: GPT-6 Astra — 0.7, Qwen3.8 Omni Flash — 0.8.

Recency

Qwen3.8 Omni Flash is newer: released 9/18/2026 vs 9/4/2026.

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Frequently Asked Questions

Which is better for coding — GPT-6 Astra or Qwen3.8 Omni 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 Omni Flash?
API pricing data is available on the individual model pages.
Which has a larger context window — GPT-6 Astra or Qwen3.8 Omni Flash?
Context window data is available on the individual model pages.

The GPT-6 Astra and Qwen3.8 Omni 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 Omni Flash page. See also the complete list of AI model comparisons.