BenchLeader

Gemini 4 Argon vs GPT-5.2

Verdict
  • Gemini 4 Argon (high) leads on quality: 70.0 vs 60.8.
  • Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, maths, reasoning.
  • GPT-5.2 (xhigh) is stronger in long context, instruction following.
  • Gemini 4 Argon (high) is 1.2× cheaper ($4.00 vs $4.81 per 1M blended).
MetricGemini 4 Argon (high)GPT-5.2 (xhigh)
BenchLeader Index70.060.8
Agents & tools score67.554.8
Coding score72.162.9
Composite score89.264.0
Human preference score73.2–
Knowledge score75.757.3
Long context score65.066.6
Maths score71.957.2
Reasoning score82.060.8
Instruction following score–73.4
Blended price $/M$4.00$4.81
Output speed–81 tok/s
Time to first answer–156.9 s
Context window1M128k
GPQA Diamond–91.4%
FrontierMath Tiers 1–3–67.4%
FrontierMath Tier 4–31.7%
OTIS Mock AIME–96.1%
SimpleQA Verified–37.1%
SciCode61.8%–
WeirdML–72.2%
ProofBench–15.0%
LMArena Text1525–
LMArena Hard Prompts1551–
LMArena Coding1562–
LMArena WebDev1678–
LMArena Agent9.3–
AA Intelligence Index v4.3.252.630.4
IFBench–75.4%
AA-LCR79.7%82.7%
AA-Omniscience42.4-0.9
Terminal-Bench Hard–47.0%
GPQA Diamond (AA)–90.3%
Humanity's Last Exam (AA)57.1%37.7%
SciCode (AA)61.8%–
τ²-Bench Telecom (AA)–84.8%
AIME (Vals)–96.9%
LiveCodeBench–85.4%
MMLU-Pro–86.2%
IOI100.0%–
LegalBench88.3%82.8%
CorpFin–65.9%
TaxEval–75.8%
MedQA–94.1%
MGSM–94.0%
SWE-bench (Vals)–75.8%
GPQA Diamond (Vals)–91.7%
Vals Index68.9–
MCP Atlas–67.6%
ARC-AGI-1–86.2%
ARC-AGI-2–52.9%
CritPt27.1%11.6%
GDPval-AA v2.156.3%–
BioMysteryBench76.3%–
CaseLaw v2–66.0%
Code Migration68.2%–
CUA-bench4.8%–
CyberBench77.9%–
Excel Modeling Benchmark75.2%–
Finance Agent v265.4%–
Harvey's Legal Agent Benchmark19.6%–
Legal Research Bench54.8%–
MedCode58.8%49.8%
MedScribe87.4%84.4%
MMMU-Pro (Vals)–86.7%
MortgageTax–67.1%
MysteryMechanism45.5%–
ProgramBench2.5%–
Public Benefits Bench69.8%–
SAGE53.6%49.3%
SREBench44.3%–
Tax Agent Bench76.2%–
Terminal-Bench 4.0 (Vals)57.6%–
Terminal-Bench Science44.3%–
Vibe Code Bench v1.191.9%53.5%
LMArena Maths1528–
LMArena Creative Writing1519–
LMArena Instruction Following1529–
LMArena Multi-turn1553–
LMArena Longer Queries1545–
Chess Puzzles–49.0%
EBR-bench–23.0%
VPCT–84.0%
LMCA–43.9%
DTBench–90.9%
FrontierSWE55.0%–
Terminal-Bench 4.0 (AA)57.1%–
AutomationBench77.5%–
GDP.pdf21.8%–
AA-Omniscience: accuracy49.9%44.3%
AA-Omniscience: non-hallucination84.9%18.8%
AA-Briefcase v1.11488–

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

Gemini 4 Argon vs GPT-5.2: questions

Is Gemini 4 Argon better than GPT-5.2?
Gemini 4 Argon (high) leads on quality: 70.0 vs 60.8. The BenchLeader Index combines every independent quality benchmark; Gemini 4 Argon (high) is ahead overall as of 2026-10-11, but check the category scores for your use.
Is Gemini 4 Argon better than GPT-5.2 for coding?
Gemini 4 Argon scores higher in coding (72 vs 63 on the category index, where 50 is average).
Is Gemini 4 Argon better than GPT-5.2 for agentic tasks?
Gemini 4 Argon scores higher in agentic tasks (68 vs 55 on the category index, where 50 is average).
Which is cheaper, Gemini 4 Argon or GPT-5.2?
Gemini 4 Argon is cheaper: $4.00 against $4.81 per million tokens, blended at three input tokens per output token.
Which has the larger context window?
Gemini 4 Argon accepts more context: 1M against 128k tokens.