BenchLeader

Gemini 3.6 Flash vs GPT-6.1 Sol

Verdict
  • GPT-6.1 Sol (max) leads on quality: 69.3 vs 60.4.
  • GPT-6.1 Sol (max) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
  • Gemini 3.6 Flash (high) is 2.7× cheaper ($1.50 vs $4.00 per 1M blended).
  • Gemini 3.6 Flash (high) streams 3.5× faster (197 vs 56 tokens per second).
MetricGemini 3.6 Flash (high)GPT-6.1 Sol (max)
BenchLeader Index60.469.3
Agents & tools score52.063.9
Coding score57.272.4
Composite score57.079.0
Human preference score67.968.1
Knowledge score65.778.8
Long context score65.266.8
Maths score60.072.5
Multimodal score65.566.2
Reasoning score62.876.4
Blended price $/M$1.50$4.00
Output speed197 tok/s56 tok/s
Time to first answer13.7 s326.9 s
Context window1.0M1.1M
GPQA Diamond94.1%95.4%
FrontierMath Tiers 1–359.0%93.7%
FrontierMath Tier 421.9%100.0%
OTIS Mock AIME94.2%100.0%
SimpleQA Verified66.2%73.9%
Terminal-Bench–58.2%
SciCode52.7%54.2%
WeirdML56.1%–
APEX-Agents–60.0%
LMArena Text14821484
LMArena Hard Prompts15011507
LMArena Coding15181545
LMArena WebDev15381755
LMArena Vision12981288
LMArena Agent-7.811.7
LiveBench73.6%81.6%
LiveBench Reasoning85.2%92.6%
LiveBench Coding77.9%80.4%
LiveBench Agentic Coding43.4%54.5%
LiveBench Mathematics86.4%96.8%
LiveBench Data Analysis63.0%82.7%
LiveBench Language83.9%90.1%
LiveBench Instruction Following75.4%74.2%
AA Intelligence Index v4.3.234.051.8
AA-LCR80.0%83.0%
MMMU-Pro83.2%86.0%
AA-Omniscience22.141.5
GPQA Diamond (AA)92.8%–
Humanity's Last Exam (AA)40.8%52.9%
SciCode (AA)53.4%54.2%
LiveCodeBench88.1%–
MMLU-Pro89.3%–
IOI35.1%96.9%
LegalBench86.7%–
CorpFin63.3%–
TaxEval74.9%–
Terminal-Bench 2.1 (Vals)73.8%–
SWE-bench (Vals)79.6%–
GPQA Diamond (Vals)93.4%–
Vals Index–61.1
ARC-AGI-191.2%96.5%
ARC-AGI-260.4%94.2%
ARC-AGI-3–96.2%
CritPt10.6%31.7%
GDPval-AA v2.139.1%53.8%
τ³-Banking (AA)29.9%–
Analyst Agent (AA)–50.0%
BioMysteryBench58.5%79.6%
Code Migration30.9%65.1%
CyberBench45.4%39.3%
Excel Modeling Benchmark65.4%70.8%
Finance Agent v256.3%52.0%
Harvey's Legal Agent Benchmark3.3%5.4%
Legal Research Bench25.0%38.5%
MedCode53.1%48.8%
MedScribe79.7%86.5%
MMMU-Pro (Vals)88.4%–
MortgageTax67.6%–
MysteryMechanism–46.4%
ProgramBench0.0%–
Public Benefits Bench56.6%59.3%
SAGE48.7%46.5%
SREBench–50.8%
Tax Agent Bench49.9%62.3%
Terminal-Bench 4.0 (Vals)–55.0%
Terminal-Bench Science4.3%–
Vals Multimodal Index65.1%–
Vibe Code Bench v1.164.0%88.9%
LMArena Maths15031488
LMArena Creative Writing14711462
LMArena Instruction Following14721488
LMArena Multi-turn14871487
LMArena Longer Queries14851496
LMArena Document1453–
Chess Puzzles40.0%61.0%
EBR-bench–54.3%
Mystery Game Puzzles30.0%80.0%
DeepSWE v1.146.7%–
LMCA44.9%–
DTBench95.5%–
ALE-Bench715.5–
GDP.pdf14.0%–
Terminal-Bench 4.0 (AA)7.1%56.1%
Terminal-Bench 2.1 (AA)77.5%–
AutomationBench–64.9%
GDP.pdf–31.0%
MLCR–33.9%
Harvey LAB–6.9%
AA-Omniscience: accuracy50.0%62.1%
AA-Omniscience: non-hallucination44.4%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.

Gemini 3.6 Flash vs GPT-6.1 Sol: questions

Is Gemini 3.6 Flash better than GPT-6.1 Sol?
GPT-6.1 Sol (max) leads on quality: 69.3 vs 60.4. 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 Gemini 3.6 Flash better than GPT-6.1 Sol for coding?
GPT-6.1 Sol scores higher in coding (72 vs 57 on the category index, where 50 is average).
Is Gemini 3.6 Flash better than GPT-6.1 Sol for agentic tasks?
GPT-6.1 Sol scores higher in agentic tasks (64 vs 52 on the category index, where 50 is average).
Which is cheaper, Gemini 3.6 Flash or GPT-6.1 Sol?
Gemini 3.6 Flash is cheaper: $1.50 against $4.00 per million tokens, blended at three input tokens per output token.
Which is faster, Gemini 3.6 Flash or GPT-6.1 Sol?
Gemini 3.6 Flash streams faster: 197 against 56 output tokens per second.
Which has the larger context window?
GPT-6.1 Sol accepts more context: 1.1M against 1.0M tokens.