BenchLeader

Gemini 4 Argon vs GPT-5.6 Terra

Verdict
  • Gemini 4 Argon (high) leads on quality: 70.0 vs 63.7.
  • Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, maths, reasoning.
  • GPT-5.6 Terra (max) is stronger in long context, instruction following, multimodal.
  • They cost about the same ($4.00 per 1M blended).
MetricGemini 4 Argon (high)GPT-5.6 Terra (max)
BenchLeader Index70.063.7
Agents & tools score67.558.8
Coding score72.164.7
Composite score89.268.1
Human preference score73.2–
Knowledge score75.757.5
Long context score65.066.8
Maths score71.969.3
Reasoning score82.070.4
Instruction following score–69.8
Multimodal score–63.9
Blended price $/M$4.00$4.50
Output speed–108 tok/s
Time to first answer–113.7 s
Context window1M1.1M
GPQA Diamond–93.3%
FrontierMath Tiers 1–3–86.0%
FrontierMath Tier 4–70.7%
OTIS Mock AIME–99.7%
SimpleQA Verified–43.2%
Terminal-Bench–21.5%
SciCode61.8%55.0%
APEX-Agents–58.2%
LMArena Text1525–
LMArena Hard Prompts1551–
LMArena Coding1562–
LMArena WebDev1678–
LMArena Agent9.3–
LiveBench–77.9%
LiveBench Reasoning–90.6%
LiveBench Coding–78.3%
LiveBench Agentic Coding–55.0%
LiveBench Mathematics–94.9%
LiveBench Data Analysis–79.3%
LiveBench Language–82.9%
LiveBench Instruction Following–64.6%
AA Intelligence Index v4.3.252.642.1
IFBench–71.2%
AA-LCR79.7%83.0%
MMMU-Pro–80.7%
AA-Omniscience42.40.1
Terminal-Bench Hard–57.6%
GPQA Diamond (AA)–92.5%
Humanity's Last Exam (AA)57.1%42.9%
SciCode (AA)61.8%55.0%
τ²-Bench Telecom (AA)–86.3%
IOI100.0%87.6%
LegalBench88.3%85.1%
Terminal-Bench 2.1 (Vals)–77.5%
SWE-bench (Vals)–95.4%
Vals Index68.953.1
ARC-AGI-1–96.5%
ARC-AGI-2–83.9%
ARC-AGI-3–0.8%
CritPt27.1%30.0%
GDPval-AA v2.156.3%47.7%
τ³-Banking (AA)–40.2%
ITBench SRE (AA)–51.0%
APEX-Agents (AA)–38.9%
BioMysteryBench76.3%–
Code Migration68.2%47.8%
CUA-bench4.8%–
CyberBench77.9%72.1%
Excel Modeling Benchmark75.2%66.2%
Finance Agent v265.4%54.4%
Harvey's Legal Agent Benchmark19.6%0.8%
Legal Research Bench54.8%41.4%
MedCode58.8%–
MedScribe87.4%–
MMMU-Pro (Vals)–86.5%
MysteryMechanism45.5%–
ProgramBench2.5%0.5%
Public Benefits Bench69.8%62.4%
SAGE53.6%47.0%
SkillsBench–58.9%
SREBench44.3%–
Tax Agent Bench76.2%65.2%
Terminal-Bench 4.0 (Vals)57.6%22.7%
Terminal-Bench Science44.3%10.0%
Vibe Code Bench 1-100–14.8%
Vibe Code Bench v1.191.9%74.6%
LMArena Maths1528–
LMArena Creative Writing1519–
LMArena Instruction Following1529–
LMArena Multi-turn1553–
LMArena Longer Queries1545–
Chess Puzzles–54.0%
Mystery Game Puzzles–35.0%
BALROG–53.2%
DeepSWE v1.1–69.6%
LMCA–55.0%
DTBench–93.3%
CursorBench–41.3%
ALE-Bench–1951.4
FrontierSWE55.0%–
Terminal-Bench 4.0 (AA)57.1%35.4%
Terminal-Bench 2.1 (AA)–88.0%
AutomationBench77.5%–
GDP.pdf21.8%–
AA-Omniscience: accuracy49.9%46.8%
AA-Omniscience: non-hallucination84.9%12.1%
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-5.6 Terra: questions

Is Gemini 4 Argon better than GPT-5.6 Terra?
Gemini 4 Argon (high) leads on quality: 70.0 vs 63.7. 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-5.6 Terra for coding?
Gemini 4 Argon scores higher in coding (72 vs 65 on the category index, where 50 is average).
Is Gemini 4 Argon better than GPT-5.6 Terra for agentic tasks?
Gemini 4 Argon scores higher in agentic tasks (68 vs 59 on the category index, where 50 is average).
Which is cheaper, Gemini 4 Argon or GPT-5.6 Terra?
Gemini 4 Argon is cheaper: $4.00 against $4.50 per million tokens, blended at three input tokens per output token.
Which has the larger context window?
GPT-5.6 Terra accepts more context: 1.1M against 1M tokens.