BenchLeader

GPT-5.6 Sol vs Qwen3.8-Flash-Next

Verdict
  • GPT-5.6 Sol (high) leads on quality: 68.2 vs 59.1.
  • GPT-5.6 Sol (high) is stronger in agents & tools, coding, composite, instruction following, knowledge, long context, multimodal, reasoning.
  • Qwen3.8-Flash-Next is 35× cheaper ($0.230 vs $8.00 per 1M blended).
MetricGPT-5.6 Sol (high)Qwen3.8-Flash-Next
BenchLeader Index68.259.1
Agents & tools score87.949.4
Coding score72.470.8
Composite score82.767.3
Instruction following score67.8
Knowledge score73.859.5
Long context score67.466.4
Multimodal score66.464.3
Reasoning score63.3
Blended price $/M$8.00$0.230
Output speed59 tok/s54 tok/s
Time to first answer31.0 s39.9 s
Context window1M256k
SciCode56.9%
WeirdML88.8%
LMArena WebDev1631
LMArena Agent0.8
LiveBench76.2%
LiveBench Reasoning87.4%
LiveBench Coding72.5%
LiveBench Agentic Coding61.6%
LiveBench Mathematics85.8%
LiveBench Data Analysis74.2%
LiveBench Language74.6%
AA Intelligence Index42.539.9
IFBench69.2%
AA-LCR81.7%79.7%
MMMU-Pro81.8%79.8%
AA-Omniscience20.4-9.7
Terminal-Bench Hard62.1%
GPQA Diamond (AA)92.8%92.3%
Humanity's Last Exam (AA)46.0%38.0%
SciCode (AA)57.8%50.6%
τ²-Bench Telecom (AA)83.3%
EnigmaEval37.1%
ARC-AGI-197.0%
ARC-AGI-285.4%
ARC-AGI-32.2%

Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.

GPT-5.6 Sol vs Qwen3.8-Flash-Next: questions

Is GPT-5.6 Sol better than Qwen3.8-Flash-Next?
GPT-5.6 Sol (high) leads on quality: 68.2 vs 59.1. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Sol (high) is ahead overall as of 2026-09-10, but check the category scores for your use.
Is GPT-5.6 Sol better than Qwen3.8-Flash-Next for coding?
GPT-5.6 Sol scores higher in coding (72 vs 71 on the category index, where 50 is average).
Is GPT-5.6 Sol better than Qwen3.8-Flash-Next for agentic tasks?
GPT-5.6 Sol scores higher in agentic tasks (88 vs 49 on the category index, where 50 is average).
Which is cheaper, GPT-5.6 Sol or Qwen3.8-Flash-Next?
Qwen3.8-Flash-Next is cheaper: $0.230 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-5.6 Sol or Qwen3.8-Flash-Next?
GPT-5.6 Sol streams faster: 59 against 54 output tokens per second.
Which has the larger context window?
GPT-5.6 Sol accepts more context: 1M against 256k tokens.