BenchLeader

GPT-6 Astra vs Qwen3.8 2.4T A95B

Verdict
  • GPT-6 Astra (high) leads on quality: 71.9 vs 65.2.
  • GPT-6 Astra (high) is stronger in coding, composite, knowledge, maths, multimodal, reasoning.
  • Qwen3.8 2.4T A95B is stronger in agents & tools, long context.
  • Qwen3.8 2.4T A95B is 6.7× cheaper ($3.00 vs $20.00 per 1M blended).
MetricGPT-6 Astra (high)Qwen3.8 2.4T A95B
BenchLeader Index71.965.2
Agents & tools score64.978.3
Coding score72.8
Composite score93.879.8
Knowledge score85.166.3
Long context score66.566.6
Maths score79.5
Multimodal score71.2
Reasoning score81.980.5
Blended price $/M$20.00$3.00
Output speed47 tok/s38 tok/s
Time to first answer49.2 s55.2 s
Context window1.1M984k
FrontierMath Tier 497.6%
Terminal-Bench57.9%
SciCode55.4%
WeirdML92.9%
AA Intelligence Index51.040.0
AA-LCR80.0%80.3%
MMMU-Pro86.4%
AA-Omniscience43.74.3
GPQA Diamond (AA)95.0%93.5%
Humanity's Last Exam (AA)53.1%42.5%
SciCode (AA)55.4%54.0%
ARC-AGI-198.5%
ARC-AGI-292.1%
ARC-AGI-399.9%
CritPt28.9%20.0%
GDPval (AA)51.5%56.4%
τ²-Bench Banking (AA)40.0%49.1%
MirrorCode46.7%
DeepSWE73.2%

Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.

GPT-6 Astra vs Qwen3.8 2.4T A95B: questions

Is GPT-6 Astra better than Qwen3.8 2.4T A95B?
GPT-6 Astra (high) leads on quality: 71.9 vs 65.2. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra (high) is ahead overall as of 2026-09-19, but check the category scores for your use.
Is GPT-6 Astra better than Qwen3.8 2.4T A95B for agentic tasks?
Qwen3.8 2.4T A95B scores higher in agentic tasks (78 vs 65 on the category index, where 50 is average).
Which is cheaper, GPT-6 Astra or Qwen3.8 2.4T A95B?
Qwen3.8 2.4T A95B is cheaper: $3.00 against $20.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-6 Astra or Qwen3.8 2.4T A95B?
GPT-6 Astra streams faster: 47 against 38 output tokens per second.
Which has the larger context window?
GPT-6 Astra accepts more context: 1.1M against 984k tokens.