BenchLeader

GPT-5.6 Sol vs Qwen3.8 27B

Verdict
  • GPT-5.6 Sol (max) leads on quality: 68.8 vs 59.2.
  • GPT-5.6 Sol (max) is stronger in coding, composite, instruction following, knowledge, long context, maths, multimodal, reasoning.
  • Qwen3.8 27B (xhigh) is stronger in agents & tools.
  • Qwen3.8 27B (xhigh) is 8.5× cheaper ($0.938 vs $8.00 per 1M blended).
  • GPT-5.6 Sol (max) streams 1.4× faster (61 vs 42 tokens per second).
MetricGPT-5.6 Sol (max)Qwen3.8 27B (xhigh)
BenchLeader Index68.859.2
Agents & tools score66.667.3
Coding score67.053.2
Composite score79.272.0
Instruction following score71.0
Knowledge score66.556.4
Long context score68.567.5
Maths score74.3
Multimodal score68.160.7
Reasoning score73.752.5
Blended price $/M$8.00$0.938
Output speed61 tok/s42 tok/s
Time to first answer127.3 s51.0 s
Context window1.1M262k
GPQA Diamond93.5%
FrontierMath Tiers 1–389.1%
FrontierMath Tier 482.9%
OTIS Mock AIME100.0%
SimpleQA Verified69.7%
Terminal-Bench37.3%
OSWorld-Verified 2.027.3%
SciCode56.1%44.7%
WeirdML87.0%
APEX-Agents39.9%
ProofBench83.0%
LiveBench81.0%
LiveBench Reasoning91.7%
LiveBench Coding83.9%
LiveBench Agentic Coding56.2%
LiveBench Mathematics96.2%
LiveBench Data Analysis79.8%
LiveBench Language87.7%
LiveBench Instruction Following71.8%
AA Intelligence Index47.133.9
IFBench72.7%
AA-LCR84.0%82.0%
MMMU-Pro83.4%76.3%
AA-Omniscience22.0-10.0
Terminal-Bench Hard65.9%
GPQA Diamond (AA)94.1%90.5%
Humanity's Last Exam (AA)49.5%33.9%
SciCode (AA)57.1%46.6%
τ²-Bench Telecom (AA)85.1%
LiveCodeBench82.6%84.0%
MMLU-Pro89.1%84.3%
IOI91.2%39.1%
LegalBench87.0%82.4%
CorpFin64.4%
TaxEval74.8%70.8%
Terminal-Bench 2.1 (Vals)85.8%58.4%
SWE-bench (Vals)96.2%86.0%
GPQA Diamond (Vals)95.2%88.9%
Vals Index63.748.5
PRBench Finance50.5%
PRBench Legal50.5%
ARC-AGI-196.5%
ARC-AGI-292.5%
ARC-AGI-37.8%
CritPt32.3%5.4%
GDPval (AA)54.3%48.2%
τ²-Bench Banking (AA)44.3%48.0%
ITBench SRE (AA)56.2%
Analyst Agent (AA)47.5%
BioMysteryBench71.1%
Code Migration52.9%14.2%
CUA-bench8.3%
Excel Modeling Benchmark72.3%59.7%
Finance Agent v253.8%48.5%
Harvey's Legal Agent Benchmark2.5%11.3%
Legal Research Bench48.1%36.1%
MedCode44.0%28.7%
MedScribe85.2%83.8%
MMMU-Pro (Vals)88.8%83.9%
MortgageTax67.3%64.9%
MysteryMechanism33.3%
ProgramBench1.5%0.0%
Public Benefits Bench66.5%
SAGE52.6%52.4%
SkillsBench54.1%38.1%
SREBench30.5%
Tax Agent Bench68.0%
Terminal-Bench 4.0 (Vals)27.8%4.0%
Terminal-Bench Science12.9%1.4%
Time Horizon Index: KSP23.8%
Vals Multimodal Index72.6%
Vibe Code Bench 1-10020.0%
Vibe Code Bench v1.180.5%64.8%
Web Search Index43.6%
DrugDiscoveryBench56.5%
Chess Puzzles55.0%
EBR-bench44.8%
Mystery Game Puzzles58.0%
PostTrainBench36.2%
Surface Evolver Bench45.0%
DeepSWE72.7%
LMCA58.4%
DTBench95.5%
CursorBench67.2%
ALE-Bench2176.9
GDP.pdf30.7%
FrontierSWE32.2%
BTF-313.7%

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

GPT-5.6 Sol vs Qwen3.8 27B: questions

Is GPT-5.6 Sol better than Qwen3.8 27B?
GPT-5.6 Sol (max) leads on quality: 68.8 vs 59.2. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Sol (max) is ahead overall as of 2026-09-19, but check the category scores for your use.
Is GPT-5.6 Sol better than Qwen3.8 27B for coding?
GPT-5.6 Sol scores higher in coding (67 vs 53 on the category index, where 50 is average).
Is GPT-5.6 Sol better than Qwen3.8 27B for agentic tasks?
Qwen3.8 27B scores higher in agentic tasks (67 vs 67 on the category index, where 50 is average).
Which is cheaper, GPT-5.6 Sol or Qwen3.8 27B?
Qwen3.8 27B is cheaper: $0.938 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-5.6 Sol or Qwen3.8 27B?
GPT-5.6 Sol streams faster: 61 against 42 output tokens per second.
Which has the larger context window?
GPT-5.6 Sol accepts more context: 1.1M against 262k tokens.