BenchLeader

GPT-5.6 Sol vs GPT-6.1 Sol

Verdict
  • GPT-6.1 Sol (max) leads on quality: 69.3 vs 67.5.
  • GPT-5.6 Sol (max) is stronger in agents & tools, instruction following, long context, multimodal.
  • GPT-6.1 Sol (max) is stronger in coding, composite, knowledge, maths, reasoning, human preference.
  • GPT-6.1 Sol (max) is 2.0× cheaper ($4.00 vs $8.00 per 1M blended).
  • GPT-5.6 Sol (max) streams 1.3× faster (74 vs 56 tokens per second).
MetricGPT-5.6 Sol (max)GPT-6.1 Sol (max)
BenchLeader Index67.569.3
Agents & tools score66.563.9
Coding score65.872.4
Composite score75.479.0
Instruction following score71.0–
Knowledge score65.878.8
Long context score67.366.8
Maths score71.572.5
Multimodal score66.766.2
Reasoning score72.776.4
Human preference score–68.1
Blended price $/M$8.00$4.00
Output speed74 tok/s56 tok/s
Time to first answer85.3 s326.9 s
Context window1.1M1.1M
GPQA Diamond93.5%95.4%
FrontierMath Tiers 1–389.1%93.7%
FrontierMath Tier 482.9%100.0%
OTIS Mock AIME100.0%100.0%
SimpleQA Verified69.7%73.9%
Terminal-Bench37.3%58.2%
OSWorld-Verified 2.027.3%–
SciCode57.1%54.2%
WeirdML87.0%–
APEX-Agents–60.0%
ProofBench83.0%–
LMArena Text–1484
LMArena Hard Prompts–1507
LMArena Coding–1545
LMArena WebDev–1755
LMArena Vision–1288
LMArena Agent–11.7
LiveBench81.0%81.6%
LiveBench Reasoning91.7%92.6%
LiveBench Coding83.9%80.4%
LiveBench Agentic Coding56.2%54.5%
LiveBench Mathematics96.2%96.8%
LiveBench Data Analysis79.8%82.7%
LiveBench Language87.7%90.1%
LiveBench Instruction Following71.8%74.2%
AA Intelligence Index v4.3.247.051.8
IFBench72.7%–
AA-LCR84.0%83.0%
MMMU-Pro83.4%86.0%
AA-Omniscience22.041.5
Terminal-Bench Hard65.9%–
GPQA Diamond (AA)94.1%–
Humanity's Last Exam (AA)49.5%52.9%
SciCode (AA)57.1%54.2%
τ²-Bench Telecom (AA)85.1%–
LiveCodeBench82.6%–
MMLU-Pro89.1%–
IOI91.2%96.9%
LegalBench87.0%–
CorpFin64.4%–
TaxEval74.8%–
Terminal-Bench 2.1 (Vals)85.8%–
SWE-bench (Vals)96.2%–
GPQA Diamond (Vals)95.2%–
Vals Index58.061.1
PRBench Finance50.5%–
PRBench Legal50.5%–
ARC-AGI-196.5%96.5%
ARC-AGI-292.5%94.2%
ARC-AGI-37.8%96.2%
CritPt32.3%31.7%
GDPval-AA v2.155.6%53.8%
τ³-Banking (AA)44.3%–
ITBench SRE (AA)56.2%–
Analyst Agent (AA)47.5%50.0%
BioMysteryBench71.1%79.6%
Code Migration52.9%65.1%
CUA-bench8.3%–
CyberBench76.3%39.3%
Excel Modeling Benchmark72.3%70.8%
Finance Agent v253.8%52.0%
Harvey's Legal Agent Benchmark2.5%5.4%
Legal Research Bench48.1%38.5%
MedCode44.0%48.8%
MedScribe85.2%86.5%
MMMU-Pro (Vals)88.8%–
MortgageTax67.3%–
MysteryMechanism33.3%46.4%
ProgramBench1.5%–
Public Benefits Bench66.5%59.3%
SAGE52.6%46.5%
SkillsBench54.1%–
SREBench30.5%50.8%
Tax Agent Bench68.0%62.3%
Terminal-Bench 4.0 (Vals)37.9%55.0%
Terminal-Bench Science20.0%–
Time Horizon Index: KSP23.8%–
Vals Multimodal Index72.6%–
Vibe Code Bench 1-10020.0%–
Vibe Code Bench v1.180.5%88.9%
Web Search Index43.6%–
LMArena Maths–1488
LMArena Creative Writing–1462
LMArena Instruction Following–1488
LMArena Multi-turn–1487
LMArena Longer Queries–1496
Chess Puzzles55.0%61.0%
EBR-bench44.8%54.3%
Mystery Game Puzzles58.0%80.0%
BALROG60.0%–
PostTrainBench36.2%–
DeepSWE v1.172.7%–
LMCA58.4%–
DTBench95.5%–
CursorBench41.7%–
ALE-Bench2176.9–
GDP.pdf30.7%–
FrontierSWE32.2%–
BTF-313.7%–
Terminal-Bench 4.0 (AA)39.9%56.1%
Terminal-Bench 2.1 (AA)88.0%–
AutomationBench–64.9%
GDP.pdf–31.0%
MLCR–33.9%
Harvey LAB–6.9%
AA-Omniscience: accuracy59.4%62.1%
AA-Omniscience: non-hallucination7.8%45.7%
AA-Briefcase v1.1–1557

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

GPT-5.6 Sol vs GPT-6.1 Sol: questions

Is GPT-5.6 Sol better than GPT-6.1 Sol?
GPT-6.1 Sol (max) leads on quality: 69.3 vs 67.5. The BenchLeader Index combines every independent quality benchmark; GPT-6.1 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
Is GPT-5.6 Sol better than GPT-6.1 Sol for coding?
GPT-6.1 Sol scores higher in coding (72 vs 66 on the category index, where 50 is average).
Is GPT-5.6 Sol better than GPT-6.1 Sol for agentic tasks?
GPT-5.6 Sol scores higher in agentic tasks (67 vs 64 on the category index, where 50 is average).
Which is cheaper, GPT-5.6 Sol or GPT-6.1 Sol?
GPT-6.1 Sol is cheaper: $4.00 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-5.6 Sol or GPT-6.1 Sol?
GPT-5.6 Sol streams faster: 74 against 56 output tokens per second.
Which has the larger context window?
Both accept 1.1M tokens of context.