BenchLeader

GPT-6 Sol vs Qwen3.8 Max

Verdict
  • GPT-6 Sol (max) leads on quality: 65.6 vs 64.2.
  • GPT-6 Sol (max) is stronger in agents & tools, coding, composite, knowledge, long context, maths.
  • Qwen3.8 Max (max) is stronger in human preference, multimodal, reasoning.
  • Qwen3.8 Max (max) is 1.3× cheaper ($3.00 vs $4.00 per 1M blended).
  • GPT-6 Sol (max) streams 2.3× faster (86 vs 37 tokens per second).
MetricGPT-6 Sol (max)Qwen3.8 Max (max)
BenchLeader Index65.664.2
Agents & tools score60.358.2
Coding score67.664.6
Composite score73.170.7
Human preference score64.768.0
Knowledge score70.162.7
Long context score67.165.4
Maths score69.565.1
Multimodal score61.966.2
Reasoning score71.872.2
Blended price $/M$4.00$3.00
Output speed86 tok/s37 tok/s
Time to first answer130.4 s58.9 s
Context window1.1M1M
GPQA Diamond94.3%–
FrontierMath Tiers 1–389.8%–
FrontierMath Tier 490.0%–
OTIS Mock AIME100.0%–
SimpleQA Verified60.7%–
Terminal-Bench49.4%27.0%
SciCode57.6%53.2%
APEX-Agents54.3%63.3%
FrontierCode49.3%–
ProofBench–58.0%
Epoch Capabilities Index–156.4
LMArena Text14561483
LMArena Hard Prompts14821504
LMArena Coding15191524
LMArena WebDev16881672
LMArena Vision12451314
LMArena Agent9.92.3
LiveBench79.3%78.5%
LiveBench Reasoning88.7%88.2%
LiveBench Coding81.8%72.9%
LiveBench Agentic Coding52.9%64.7%
LiveBench Mathematics96.4%91.3%
LiveBench Data Analysis81.2%78.4%
LiveBench Language85.3%79.7%
LiveBench Instruction Following68.6%74.1%
AA Intelligence Index v4.3.247.645.4
AA-LCR83.7%80.3%
MMMU-Pro83.0%82.8%
AA-Omniscience27.112.0
GPQA Diamond (AA)–92.8%
Humanity's Last Exam (AA)47.9%43.1%
SciCode (AA)57.6%53.2%
LiveCodeBench–87.8%
MMLU-Pro–88.6%
IOI82.6%68.9%
LegalBench–83.6%
CorpFin–65.8%
TaxEval–75.5%
Terminal-Bench 2.1 (Vals)83.2%67.4%
SWE-bench (Vals)–85.6%
GPQA Diamond (Vals)–93.7%
Vals Index57.548.3
ARC-AGI-195.5%–
ARC-AGI-289.6%–
ARC-AGI-323.0%–
CritPt30.9%20.0%
GDPval-AA v2.150.4%58.6%
τ³-Banking (AA)–51.3%
ITBench SRE (AA)49.4%40.3%
Analyst Agent (AA)–45.0%
APEX-Agents (AA)–42.4%
BioMysteryBench74.8%–
Code Migration57.2%24.0%
CyberBench78.0%28.6%
Excel Modeling Benchmark71.5%60.1%
Finance Agent v249.0%50.6%
Harvey's Legal Agent Benchmark1.7%10.4%
Legal Research Bench28.9%47.6%
MedCode47.1%40.7%
MedScribe82.0%85.0%
MMMU-Pro (Vals)–88.0%
MortgageTax–64.0%
MysteryMechanism30.2%23.9%
ProgramBench2.0%0.0%
Public Benefits Bench56.6%67.1%
SAGE44.8%51.3%
SkillsBench–42.0%
Tax Agent Bench53.0%66.0%
Terminal-Bench 4.0 (Vals)44.4%34.3%
Terminal-Bench Science30.0%1.4%
Vals Multimodal Index–65.4%
Vibe Code Bench 1-100–12.8%
Vibe Code Bench v1.187.8%64.7%
LMArena Maths14461497
LMArena Creative Writing14361470
LMArena Instruction Following14511474
LMArena Multi-turn14671492
LMArena Longer Queries14631492
EBR-bench53.3%–
Mystery Game Puzzles56.0%–
LMCA59.1%–
DTBench97.3%–
ALE-Bench2462–
GDP.pdf26.4%–
Terminal-Bench 4.0 (AA)43.9%38.9%
Terminal-Bench 2.1 (AA)–88.8%
AutomationBench61.6%56.2%
GDP.pdf25.2%22.8%
MLCR16.1%20.0%
Harvey LAB3.6%–
EnterpriseOps-Gym–47.6%
AA-Omniscience: accuracy54.5%31.9%
AA-Omniscience: non-hallucination39.9%71.2%
AA-Briefcase v1.114801617

Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.

GPT-6 Sol vs Qwen3.8 Max: questions

Is GPT-6 Sol better than Qwen3.8 Max?
GPT-6 Sol (max) leads on quality: 65.6 vs 64.2. The BenchLeader Index combines every independent quality benchmark; GPT-6 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
Is GPT-6 Sol better than Qwen3.8 Max for coding?
GPT-6 Sol scores higher in coding (68 vs 65 on the category index, where 50 is average).
Is GPT-6 Sol better than Qwen3.8 Max for agentic tasks?
GPT-6 Sol scores higher in agentic tasks (60 vs 58 on the category index, where 50 is average).
Which is cheaper, GPT-6 Sol or Qwen3.8 Max?
Qwen3.8 Max is cheaper: $3.00 against $4.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-6 Sol or Qwen3.8 Max?
GPT-6 Sol streams faster: 86 against 37 output tokens per second.
Which has the larger context window?
GPT-6 Sol accepts more context: 1.1M against 1M tokens.